----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/xyq/Dropbox/Friends/Yiqing and Haixiao/State_capacity/Replication/statacapacity.txt
  log type:  text
 opened on:  16 Feb 2018, 22:10:48

. 
. clear all

. set more off

. set matsize 1000

. 
. 
. 
. ******************************************************
. * 1. Main Results (for Figure 2 and Appendix Table A4)
. ******************************************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. use Data_full, clear

. 
. local nsim = 1000

. 
. * baseline with control variables
. global lags = "Capacity_l1 Capacity_l2"

. global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1"

. 
. bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe Capacity demo_l1 $lags, a(ccode year) 
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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HDFE Linear regression                          Number of obs     =      6,838
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(3)      =    6146.64
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9665
                                                Adj R-squared     =     0.9653
                                                Root MSE          =     0.1852

                                 (Replications based on 174 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |    .023556   .0101263     2.33   0.020     .0037089    .0434031
 Capacity_l1 |   .7794987   .0280493    27.79   0.000      .724523    .8344743
 Capacity_l2 |   .1128709   .0252791     4.46   0.000     .0633249     .162417
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          174             174              0     | 
        year |           47              48              1     | 
---------------------------------------------------------------+

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe Capacity demo_l1 lnpop_l1 elf_l1 $lags, a(ccode year) 
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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HDFE Linear regression                          Number of obs     =      5,793
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(5)      =    3700.74
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9693
                                                Adj R-squared     =     0.9682
                                                Root MSE          =     0.1734

                                 (Replications based on 155 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0229762   .0103481     2.22   0.026     .0026942    .0432581
    lnpop_l1 |  -.1091676   .0283466    -3.85   0.000    -.1647259   -.0536093
      elf_l1 |   -.069346   .0622161    -1.11   0.265    -.1912873    .0525953
 Capacity_l1 |   .7757294   .0337691    22.97   0.000     .7095431    .8419157
 Capacity_l2 |   .1041337    .029609     3.52   0.000     .0461012    .1621662
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          155             155              0     | 
        year |           44              45              1     | 
---------------------------------------------------------------+

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe Capacity demo_l1 logGDP_l1 agri_l1 literacy_l1 $lags, a(ccode year) 
(running reghdfe on estimation sample)

Bootstrap replications (1000)
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HDFE Linear regression                          Number of obs     =      5,703
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(6)      =    3669.38
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9710
                                                Adj R-squared     =     0.9700
                                                Root MSE          =     0.1743

                                 (Replications based on 149 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0225024    .011099     2.03   0.043     .0007487    .0442562
   logGDP_l1 |   .1029154   .0170532     6.03   0.000     .0694919     .136339
     agri_l1 |  -.0149193    .069957    -0.21   0.831    -.1520325    .1221939
 literacy_l1 |   -.119094   .0461815    -2.58   0.010    -.2096081   -.0285799
 Capacity_l1 |   .7531333   .0292009    25.79   0.000     .6959007     .810366
 Capacity_l2 |   .0880152   .0216331     4.07   0.000      .045615    .1304153
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          149             149              0     | 
        year |           45              46              1     | 
---------------------------------------------------------------+

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe Capacity demo_l1 min_l1 resources_l1 $lags, a(ccode year) 
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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HDFE Linear regression                          Number of obs     =      6,006
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(5)      =    4032.00
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9671
                                                Adj R-squared     =     0.9660
                                                Root MSE          =     0.1846

                                 (Replications based on 159 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0280812   .0104172     2.70   0.007     .0076638    .0484986
      min_l1 |  -.0961519   .1080852    -0.89   0.374     -.307995    .1156911
resources_l1 |   .0156896   .0093682     1.67   0.094    -.0026717    .0340509
 Capacity_l1 |   .7624858   .0295155    25.83   0.000     .7046365    .8203351
 Capacity_l2 |   .1205466   .0255031     4.73   0.000     .0705614    .1705318
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          159             159              0     | 
        year |           45              46              1     | 
---------------------------------------------------------------+

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe Capacity demo_l1 log_aid_l1 exports_l1 $lags, a(ccode year) 
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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HDFE Linear regression                          Number of obs     =      6,369
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(5)      =    6951.71
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9686
                                                Adj R-squared     =     0.9675
                                                Root MSE          =     0.1821

                                 (Replications based on 156 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0264143   .0095482     2.77   0.006     .0077002    .0451284
  log_aid_l1 |    .000168    .003943     0.04   0.966    -.0075602    .0078962
  exports_l1 |    .128601   .0318692     4.04   0.000     .0661387    .1910634
 Capacity_l1 |   .7796246   .0303071    25.72   0.000     .7202238    .8390254
 Capacity_l2 |   .1075213    .027575     3.90   0.000     .0534753    .1615672
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          156             156              0     | 
        year |           47              48              1     | 
---------------------------------------------------------------+

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe Capacity demo_l1 rivalry_l1 threat_l1 war_l1 $lags, a(ccode year) 
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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HDFE Linear regression                          Number of obs     =      6,463
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(6)      =    5231.44
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9670
                                                Adj R-squared     =     0.9658
                                                Root MSE          =     0.1833

                                 (Replications based on 163 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0256498   .0097631     2.63   0.009     .0065146    .0447851
  rivalry_l1 |  -.0164688   .0112608    -1.46   0.144    -.0385396     .005602
   threat_l1 |   .0321615   .0203026     1.58   0.113    -.0076309    .0719538
      war_l1 |   -.000527   .0083833    -0.06   0.950    -.0169579    .0159039
 Capacity_l1 |   .7895819   .0301366    26.20   0.000     .7305153    .8486485
 Capacity_l2 |   .1004246   .0273992     3.67   0.000     .0467231    .1541261
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          163             163              0     | 
        year |           47              48              1     | 
---------------------------------------------------------------+

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe Capacity demo_l1 $lags $covar, a(ccode year) 
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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..................................................  1000

HDFE Linear regression                          Number of obs     =      5,114
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(15)     =    4912.19
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9726
                                                Adj R-squared     =     0.9715
                                                Root MSE          =     0.1657

                                 (Replications based on 138 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0222851    .011273     1.98   0.048     .0001905    .0443797
 Capacity_l1 |   .7513159    .030343    24.76   0.000     .6918446    .8107871
 Capacity_l2 |       .077   .0233714     3.29   0.001     .0311929    .1228071
    lnpop_l1 |   -.080548   .0384245    -2.10   0.036    -.1558587   -.0052374
      elf_l1 |   -.093408    .043588    -2.14   0.032     -.178839    -.007977
   logGDP_l1 |   .0931406   .0195413     4.77   0.000     .0548402    .1314409
     agri_l1 |  -.0012851   .0715955    -0.02   0.986    -.1416098    .1390396
 literacy_l1 |  -.0390079   .0597576    -0.65   0.514    -.1561306    .0781147
      min_l1 |  -.2336232   .1062063    -2.20   0.028    -.4417836   -.0254628
resources_l1 |   .0162056   .0054566     2.97   0.003     .0055108    .0269004
  log_aid_l1 |   .0042119   .0042675     0.99   0.324    -.0041522    .0125759
  exports_l1 |    .101604   .0309981     3.28   0.001     .0408488    .1623592
  rivalry_l1 |   -.015318   .0102039    -1.50   0.133    -.0353173    .0046812
   threat_l1 |   .0469925    .019532     2.41   0.016     .0087104    .0852746
      war_l1 |   .0034923   .0086332     0.40   0.686    -.0134284     .020413
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          138             138              0     | 
        year |           44              45              1     | 
---------------------------------------------------------------+

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. ** long run effect /* 0.133 (0.066) */
. bootstrap longrun=(_b[demo_l1]/(1-_b[Capacity_l1]-_b[Capacity_l2])), rep(`nsim') seed(123) cl(ccode): reghdfe Capacity demo_l1 $lags $covar, a(ccode year)
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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Bootstrap results                               Number of obs     =      5,114
                                                Replications      =      1,000

      command:  reghdfe Capacity demo_l1 Capacity_l1 Capacity_l2 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1, a(ccode year)
      longrun:  _b[demo_l1]/(1-_b[Capacity_l1]-_b[Capacity_l2])

                                 (Replications based on 138 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     longrun |   .1298027   .0670762     1.94   0.053    -.0016643    .2612697
------------------------------------------------------------------------------

. 
. xtset ccode year
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit

. xtsum Capacity

Variable         |      Mean   Std. Dev.       Min        Max |    Observations
-----------------+--------------------------------------------+----------------
Capacity overall |  6.67e-08          1  -3.512468   2.861684 |     N =    7186
         between |             .8498057  -1.613251   1.781884 |     n =     174
         within  |             .4891517  -2.981665   1.703143 | T-bar = 41.2989

. 
. **********************************************
. * Table 1. Alternative State Capacity Measure
. **********************************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 threat_l1 rivalry_l1 war_l1"

. local nsim = 1000

. 
. use Data_full, clear

. sum rpe_agri

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
    rpe_agri |      6,289    .9831479    .4136145       .097       4.36

. g rpe_agri_sd = (rpe_agri - r(mean))/r(sd)
(897 missing values generated)

. 
. sum pubcorr

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     pubcorr |      6,710    .4945826    .2967449   .0049982   .9721161

. g pubcorr_sd = (pubcorr - r(mean))/r(sd)
(476 missing values generated)

. 
. 
. foreach var of varlist rpe_agri_sd pubcorr_sd logmilper {
  2.    tsset ccode year
  3.    forvalues i = 1/4 {
  4.       bysort ccode (year): g `var'_l`i' = L`i'.`var'
  5.       }
  6.    xtset, clear
  7.    bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe `var' demo_l1 `var'_l1 `var'_l2, a(ccode year)
  8.    outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons
  9. 
.    bootstrap  _b, rep(`nsim') seed(123) cl(ccode): reghdfe `var' demo_l1 `var'_l1 `var'_l2 $covar, a(ccode year)
 10.    outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons 
 11.    }
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit
(1,051 missing values generated)
(1,205 missing values generated)
(1,359 missing values generated)
(1,513 missing values generated)
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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HDFE Linear regression                          Number of obs     =      5,981
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(3)      =    2404.58
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.8459
                                                Adj R-squared     =     0.8404
                                                Root MSE          =     0.3946

                                   (Replications based on 154 clusters in ccode)
--------------------------------------------------------------------------------
               |   Observed   Bootstrap                         Normal-based
   rpe_agri_sd |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       demo_l1 |   .0642242   .0281899     2.28   0.023     .0089731    .1194754
rpe_agri_sd_l1 |   .7237693   .0268188    26.99   0.000     .6712054    .7763333
rpe_agri_sd_l2 |   .0622987    .023388     2.66   0.008     .0164592    .1081383
--------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------------------+
   Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
---------------+-------------------------------------------------|
         ccode |          154             154              0     | 
          year |           47              48              1     | 
-----------------------------------------------------------------+
output/out.xml
dir : seeout
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
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HDFE Linear regression                          Number of obs     =      4,864
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(15)     =    2432.92
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.8464
                                                Adj R-squared     =     0.8400
                                                Root MSE          =     0.3935

                                   (Replications based on 135 clusters in ccode)
--------------------------------------------------------------------------------
               |   Observed   Bootstrap                         Normal-based
   rpe_agri_sd |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       demo_l1 |   .0691972   .0318103     2.18   0.030     .0068502    .1315443
rpe_agri_sd_l1 |   .7234165   .0323779    22.34   0.000      .659957    .7868759
rpe_agri_sd_l2 |   .0561617   .0285925     1.96   0.050     .0001214     .112202
      lnpop_l1 |   -.151419   .1113643    -1.36   0.174     -.369689     .066851
        elf_l1 |    .258201   .1324059     1.95   0.051    -.0013098    .5177118
     logGDP_l1 |  -.0363186   .0513327    -0.71   0.479    -.1369287    .0642916
       agri_l1 |  -.2914002   .2447453    -1.19   0.234    -.7710923    .1882918
   literacy_l1 |   .0627259   .1554931     0.40   0.687     -.242035    .3674867
        min_l1 |   -.271535   .1930737    -1.41   0.160    -.6499524    .1068824
  resources_l1 |   .0103887   .0140213     0.74   0.459    -.0170925    .0378699
    log_aid_l1 |  -.0100241   .0135442    -0.74   0.459    -.0365703    .0165222
    exports_l1 |   .1615105   .1023621     1.58   0.115    -.0391155    .3621365
     threat_l1 |  -.0572148   .0652225    -0.88   0.380    -.1850486    .0706189
    rivalry_l1 |   -.004486    .028666    -0.16   0.876    -.0606703    .0516982
        war_l1 |   .0189248   .0193572     0.98   0.328    -.0190147    .0568643
--------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------------------+
   Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
---------------+-------------------------------------------------|
         ccode |          135             135              0     | 
          year |           44              45              1     | 
-----------------------------------------------------------------+
output/out.xml
dir : seeout
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit
(635 missing values generated)
(794 missing values generated)
(953 missing values generated)
(1,112 missing values generated)
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000

HDFE Linear regression                          Number of obs     =      6,392
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(3)      =   20200.48
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9840
                                                Adj R-squared     =     0.9835
                                                Root MSE          =     0.1289

                                  (Replications based on 159 clusters in ccode)
-------------------------------------------------------------------------------
              |   Observed   Bootstrap                         Normal-based
   pubcorr_sd |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      demo_l1 |  -.0230799   .0068841    -3.35   0.001    -.0365726   -.0095873
pubcorr_sd_l1 |   1.007317   .0204824    49.18   0.000     .9671723    1.047462
pubcorr_sd_l2 |  -.0830159   .0212941    -3.90   0.000    -.1247515   -.0412802
-------------------------------------------------------------------------------

Absorbed degrees of freedom:
----------------------------------------------------------------+
  Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
--------------+-------------------------------------------------|
        ccode |          159             159              0     | 
         year |           47              48              1     | 
----------------------------------------------------------------+
output/out.xml
dir : seeout
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000

HDFE Linear regression                          Number of obs     =      5,003
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(15)     =   15696.49
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9834
                                                Adj R-squared     =     0.9827
                                                Root MSE          =     0.1327

                                  (Replications based on 135 clusters in ccode)
-------------------------------------------------------------------------------
              |   Observed   Bootstrap                         Normal-based
   pubcorr_sd |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      demo_l1 |    -.02802   .0086176    -3.25   0.001    -.0449102   -.0111299
pubcorr_sd_l1 |   .9753485   .0242965    40.14   0.000     .9277282    1.022969
pubcorr_sd_l2 |   -.062905   .0225786    -2.79   0.005    -.1071582   -.0186517
     lnpop_l1 |   .0120939    .022008     0.55   0.583     -.031041    .0552287
       elf_l1 |  -.0302705   .0288547    -1.05   0.294    -.0868246    .0262836
    logGDP_l1 |   .0050661   .0128712     0.39   0.694     -.020161    .0302933
      agri_l1 |   .0990765   .0594494     1.67   0.096    -.0174422    .2155953
  literacy_l1 |   .0510701   .0456862     1.12   0.264    -.0384731    .1406133
       min_l1 |  -.0653579   .0440645    -1.48   0.138    -.1517226    .0210069
 resources_l1 |   .0151462   .0049099     3.08   0.002     .0055231    .0247694
   log_aid_l1 |   .0132728   .0031477     4.22   0.000     .0071034    .0194422
   exports_l1 |  -.0058959   .0260122    -0.23   0.821     -.056879    .0450871
    threat_l1 |  -.0120521   .0125279    -0.96   0.336    -.0366063     .012502
   rivalry_l1 |   .0001602   .0107981     0.01   0.988    -.0210036     .021324
       war_l1 |  -.0000753   .0072853    -0.01   0.992    -.0143542    .0142036
-------------------------------------------------------------------------------

Absorbed degrees of freedom:
----------------------------------------------------------------+
  Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
--------------+-------------------------------------------------|
        ccode |          135             135              0     | 
         year |           44              45              1     | 
----------------------------------------------------------------+
output/out.xml
dir : seeout
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit
(567 missing values generated)
(576 missing values generated)
(739 missing values generated)
(903 missing values generated)
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000

HDFE Linear regression                          Number of obs     =      6,268
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(3)      =    5969.30
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9871
                                                Adj R-squared     =     0.9867
                                                Root MSE          =     0.1933

                                 (Replications based on 166 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
   logmilper |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |  -.0360021   .0098063    -3.67   0.000    -.0552221    -.016782
logmilper_l1 |   .8617239   .0373434    23.08   0.000     .7885321    .9349157
logmilper_l2 |   .0202843   .0335891     0.60   0.546    -.0455491    .0861178
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          166             166              0     | 
        year |           45              46              1     | 
---------------------------------------------------------------+
output/out.xml
dir : seeout
(running reghdfe on estimation sample)

Bootstrap replications (1000)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
..................................................   100
..................................................   150
..................................................   200
..................................................   250
..................................................   300
..................................................   350
..................................................   400
..................................................   450
..................................................   500
..................................................   550
..................................................   600
..................................................   650
..................................................   700
..................................................   750
..................................................   800
..................................................   850
..................................................   900
..................................................   950
..................................................  1000

HDFE Linear regression                          Number of obs     =      5,047
Absorbing 2 HDFE groups                         Replications      =      1,000
                                                Wald chi2(15)     =    9795.12
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.9875
                                                Adj R-squared     =     0.9870
                                                Root MSE          =     0.1776

                                 (Replications based on 138 clusters in ccode)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
   logmilper |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |  -.0226298    .009631    -2.35   0.019    -.0415062   -.0037535
logmilper_l1 |   .8777374   .0385292    22.78   0.000     .8022216    .9532533
logmilper_l2 |   .0030737   .0313496     0.10   0.922    -.0583704    .0645178
    lnpop_l1 |   .0879706   .0473661     1.86   0.063    -.0048652    .1808063
      elf_l1 |  -.0360258   .0492186    -0.73   0.464    -.1324924    .0604408
   logGDP_l1 |   .0417138   .0184214     2.26   0.024     .0056085    .0778192
     agri_l1 |   -.021297   .0803347    -0.27   0.791      -.17875     .136156
 literacy_l1 |   .1148748   .0685626     1.68   0.094    -.0195053     .249255
      min_l1 |  -.0285851   .0673151    -0.42   0.671    -.1605203    .1033501
resources_l1 |   .0016517   .0045323     0.36   0.716    -.0072315     .010535
  log_aid_l1 |    .002469   .0043611     0.57   0.571    -.0060786    .0110167
  exports_l1 |  -.0237011   .0437398    -0.54   0.588    -.1094295    .0620273
   threat_l1 |   .0228775   .0219145     1.04   0.297    -.0200741    .0658291
  rivalry_l1 |   .0095273   .0137497     0.69   0.488    -.0174216    .0364762
      war_l1 |   .0255876    .013299     1.92   0.054     -.000478    .0516533
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |          138             138              0     | 
        year |           44              45              1     | 
---------------------------------------------------------------+
output/out.xml
dir : seeout

. 
. ********************************
. * Table 2. Instrumental Variable
. ********************************
. 
. 
. use Data_full, clear

. global lags = "Capacity_l1 Capacity_l2"

. global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1"

. 
. xtset ccode year
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit

. sort ccode year 

. qui tab year, g(yr)

. qui tab ccode, g(ccode)

. 
. *ssc install ivreg2
. *ssc install xtivreg2
. *ssc install ranktest 
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. qui areg demo_l1 $lags yr1-yr50 L.demo_wave, a(ccode)

. outreg2 using output/out.xml, excel dec(3) keep(L.demo_wave) nocons
output/out.xml
dir : seeout

. 
. qui areg demo_l1 $lags yr1-yr50 $covar L.demo_wave, a(ccode)

. outreg2 using output/out.xml, excel dec(3) keep(L.demo_wave) nocons
output/out.xml
dir : seeout

. 
. qui areg demo_l1 $lags yr1-yr50 $covar L.demo_wave sCapacity_l1 sCapacity_l2, a(ccode)

. outreg2 using output/out.xml, excel dec(3) keep(L.demo_wave) nocons
output/out.xml
dir : seeout

. 
. 
. xtivreg2  Capacity $lags yr1-yr50  (demo_l1 = L.demo_wave), fe  cl(ccode)  first
Warning - collinearities detected
Vars dropped:       yr1 yr2 yr50

FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       174                    Obs per group: min =         2
                                                               avg =      39.3
                                                               max =        48
Warning - collinearities detected
Vars dropped:  yr1 yr2 yr50

First-stage regressions
-----------------------


FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       174                    Obs per group: min =         2
                                                               avg =      39.3
                                                               max =        48

First-stage regression of demo_l1:

Statistics robust to heteroskedasticity and clustering on ccode
Number of obs =                   6838
Number of clusters (ccode) =       174
------------------------------------------------------------------------------
             |               Robust
     demo_l1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   demo_wave |
         L1. |   .7289264   .1347447     5.41   0.000     .4647833    .9930696
             |
 Capacity_l1 |   .0655547   .0227629     2.88   0.004      .020932    .1101773
 Capacity_l2 |  -.0145475   .0187708    -0.78   0.438    -.0513443    .0222493
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |  -.0244618   .0508584    -0.48   0.631    -.1241607     .075237
         yr4 |  -.0276506   .0505062    -0.55   0.584     -.126659    .0713578
         yr5 |  -.0336306   .0485624    -0.69   0.489    -.1288286    .0615674
         yr6 |  -.0371216   .0477942    -0.78   0.437    -.1308136    .0565704
         yr7 |  -.0412853    .049767    -0.83   0.407    -.1388447     .056274
         yr8 |  -.0480615    .044972    -1.07   0.285    -.1362212    .0400981
         yr9 |   -.054905   .0456192    -1.20   0.229    -.1443332    .0345233
        yr10 |  -.0646417   .0457455    -1.41   0.158    -.1543175    .0250342
        yr11 |  -.0676941   .0426996    -1.59   0.113     -.151399    .0160109
        yr12 |  -.0745653   .0415262    -1.80   0.073      -.15597    .0068394
        yr13 |  -.0644772   .0434539    -1.48   0.138     -.149661    .0207065
        yr14 |  -.0711094    .042925    -1.66   0.098    -.1552564    .0130375
        yr15 |  -.0763371   .0438368    -1.74   0.082    -.1622713    .0095972
        yr16 |  -.0776485   .0429429    -1.81   0.071    -.1618304    .0065335
        yr17 |  -.0793697   .0435483    -1.82   0.068    -.1647385    .0059991
        yr18 |  -.0866051   .0408105    -2.12   0.034    -.1666069   -.0066034
        yr19 |   -.088866   .0381155    -2.33   0.020    -.1635847   -.0141473
        yr20 |   -.094404   .0379029    -2.49   0.013    -.1687058   -.0201021
        yr21 |  -.0843667   .0390695    -2.16   0.031    -.1609556   -.0077778
        yr22 |   -.089113    .039832    -2.24   0.025    -.1671965   -.0110294
        yr23 |  -.0928815   .0404921    -2.29   0.022     -.172259   -.0135039
        yr24 |  -.0860327   .0420902    -2.04   0.041     -.168543   -.0035223
        yr25 |  -.0836372   .0406394    -2.06   0.040    -.1633035    -.003971
        yr26 |  -.0792015   .0410643    -1.93   0.054    -.1597008    .0012978
        yr27 |  -.0774934    .039835    -1.95   0.052    -.1555829    .0005961
        yr28 |      -.069   .0379348    -1.82   0.069    -.1433644    .0053644
        yr29 |  -.0703953   .0376727    -1.87   0.062    -.1442459    .0034553
        yr30 |  -.0677546   .0381876    -1.77   0.076    -.1426146    .0071054
        yr31 |  -.0664252   .0383531    -1.73   0.083    -.1416096    .0087592
        yr32 |  -.0545805   .0396176    -1.38   0.168    -.1322438    .0230828
        yr33 |  -.0270606   .0357019    -0.76   0.449    -.0970478    .0429267
        yr34 |  -.0207493   .0344103    -0.60   0.547    -.0882046     .046706
        yr35 |  -.0078316   .0330677    -0.24   0.813    -.0726551    .0569918
        yr36 |   -.005944   .0318401    -0.19   0.852    -.0683609    .0564729
        yr37 |  -.0100611   .0319425    -0.31   0.753    -.0726787    .0525565
        yr38 |  -.0128237   .0322832    -0.40   0.691    -.0761092    .0504618
        yr39 |  -.0072937   .0313552    -0.23   0.816      -.06876    .0541725
        yr40 |  -.0092645    .030664    -0.30   0.763    -.0693759    .0508469
        yr41 |  -.0053368   .0275724    -0.19   0.847    -.0593877     .048714
        yr42 |  -.0064159   .0267879    -0.24   0.811    -.0589287     .046097
        yr43 |  -.0024719   .0257463    -0.10   0.924     -.052943    .0479992
        yr44 |  -.0020617   .0245493    -0.08   0.933    -.0501862    .0460628
        yr45 |   .0000374   .0216907     0.00   0.999    -.0424833    .0425581
        yr46 |   .0033058   .0195842     0.17   0.866    -.0350855    .0416971
        yr47 |   .0022107    .017747     0.12   0.901    -.0325791    .0370005
        yr48 |  -.0030294   .0116174    -0.26   0.794    -.0258033    .0197445
        yr49 |  -.0039331   .0090727    -0.43   0.665    -.0217185    .0138523
        yr50 |          0  (omitted)
------------------------------------------------------------------------------
F test of excluded instruments:
  F(  1,   173) =    29.26
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  1,   173) =    29.26
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  1,   173)  P-val | SW Chi-sq(  1) P-val | SW F(  1,   173)
demo_l1      |      29.26    0.0000 |       29.65   0.0000 |       29.26

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             16.38
                                   15% maximal IV size              8.96
                                   20% maximal IV size              6.66
                                   25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(1)=18.60    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     418.51
Kleibergen-Paap Wald rk F statistic                                29.26

Stock-Yogo weak ID test critical values for K1=1 and L1=1:
                                   10% maximal IV size             16.38
                                   15% maximal IV size              8.96
                                   20% maximal IV size              6.66
                                   25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(1,173)=       4.85     P-val=0.0289
Anderson-Rubin Wald test           Chi-sq(1)=      4.92     P-val=0.0266
Stock-Wright LM S statistic        Chi-sq(1)=      7.72     P-val=0.0055

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        174
Number of observations               N  =       6838
Number of regressors                 K  =         50
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         50
Number of excluded instruments       L1 =          1

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ccode

Number of clusters (ccode) =       174                Number of obs =     6838
                                                      F( 50,   173) =   535.41
                                                      Prob > F      =   0.0000
Total (centered) SS     =  1444.315009                Centered R2   =   0.8409
Total (uncentered) SS   =  1444.315009                Uncentered R2 =   0.8409
Residual SS             =  229.7770699                Root MSE      =    .1857

------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .1004226   .0490776     2.05   0.041     .0042322     .196613
 Capacity_l1 |   .7739205   .0282561    27.39   0.000     .7185396    .8293014
 Capacity_l2 |   .1150605   .0250932     4.59   0.000     .0658787    .1642424
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |   .0309829   .0240364     1.29   0.197    -.0161276    .0780935
         yr4 |   .0231078   .0272505     0.85   0.396    -.0303023    .0765179
         yr5 |   .0235444   .0232455     1.01   0.311     -.022016    .0691048
         yr6 |    .039498   .0255326     1.55   0.122     -.010545     .089541
         yr7 |   .0249933   .0245301     1.02   0.308    -.0230849    .0730715
         yr8 |   .0349497   .0227804     1.53   0.125     -.009699    .0795985
         yr9 |   .0226111   .0239758     0.94   0.346    -.0243805    .0696027
        yr10 |   .0343203     .02403     1.43   0.153    -.0127777    .0814182
        yr11 |    .079215   .0260476     3.04   0.002     .0281626    .1302674
        yr12 |   .0985529   .0273354     3.61   0.000     .0449764    .1521293
        yr13 |     .09536   .0243841     3.91   0.000      .047568     .143152
        yr14 |   .1161765   .0252818     4.60   0.000     .0666252    .1657279
        yr15 |   .1201251   .0260554     4.61   0.000     .0690574    .1711928
        yr16 |   .0932143   .0295274     3.16   0.002     .0353418    .1510869
        yr17 |   .1311392   .0260381     5.04   0.000     .0801055     .182173
        yr18 |   .1256538   .0259887     4.83   0.000     .0747169    .1765908
        yr19 |   .1269314   .0253487     5.01   0.000     .0772489    .1766139
        yr20 |   .1201369   .0307047     3.91   0.000     .0599567     .180317
        yr21 |   .1585239   .0228265     6.94   0.000     .1137847     .203263
        yr22 |   .1369579   .0247786     5.53   0.000     .0883927    .1855231
        yr23 |   .0276132   .0312711     0.88   0.377    -.0336769    .0889033
        yr24 |   .0926518   .0232272     3.99   0.000     .0471274    .1381763
        yr25 |   .0781685   .0235292     3.32   0.001     .0320521    .1242849
        yr26 |   .0507071   .0208226     2.44   0.015     .0098956    .0915186
        yr27 |   .0768776   .0295642     2.60   0.009     .0189328    .1348224
        yr28 |   .0533324   .0242027     2.20   0.028      .005896    .1007687
        yr29 |     .09284   .0199326     4.66   0.000     .0537728    .1319072
        yr30 |   .0603365   .0244836     2.46   0.014     .0123494    .1083236
        yr31 |    .060103   .0279739     2.15   0.032     .0052752    .1149309
        yr32 |   .0106451    .028597     0.37   0.710    -.0454038    .0666941
        yr33 |   .0244613   .0304552     0.80   0.422    -.0352299    .0841524
        yr34 |   .0528485   .0261605     2.02   0.043     .0015749    .1041222
        yr35 |   .0820582   .0248875     3.30   0.001     .0332796    .1308367
        yr36 |    .119725   .0196911     6.08   0.000     .0811311    .1583188
        yr37 |    .081961   .0180848     4.53   0.000     .0465154    .1174065
        yr38 |   .0404093   .0216506     1.87   0.062    -.0020252    .0828438
        yr39 |   .0488925   .0190031     2.57   0.010     .0116472    .0861379
        yr40 |  -.0122232   .0191357    -0.64   0.523    -.0497284    .0252821
        yr41 |   .0996975   .0227097     4.39   0.000     .0551874    .1442076
        yr42 |    .037491   .0200476     1.87   0.061    -.0018015    .0767835
        yr43 |   .0416409   .0206876     2.01   0.044     .0010939    .0821879
        yr44 |   .0371819    .022148     1.68   0.093    -.0062273    .0805911
        yr45 |  -.0002231   .0241058    -0.01   0.993    -.0474696    .0470234
        yr46 |   .0429995   .0204109     2.11   0.035     .0029949    .0830041
        yr47 |    .074497   .0197471     3.77   0.000     .0357933    .1132006
        yr48 |   .0391489   .0189807     2.06   0.039     .0019475    .0763503
        yr49 |   .0373465   .0196679     1.90   0.058    -.0012019    .0758949
        yr50 |          0  (omitted)
------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.598
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              418.513
                         (Kleibergen-Paap rk Wald F statistic):         29.265
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         0.000
                                                 (equation exactly identified)
------------------------------------------------------------------------------
Instrumented:         demo_l1
Included instruments: Capacity_l1 Capacity_l2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10
                      yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21
                      yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32
                      yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43
                      yr44 yr45 yr46 yr47 yr48 yr49
Excluded instruments: L.demo_wave
Dropped collinear:    yr1 yr2 yr50
------------------------------------------------------------------------------

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons
output/out.xml
dir : seeout

. 
. xtivreg2  Capacity $lags yr1-yr50 $covar  (demo_l1 = L.demo_wave), fe  cl(ccode)  first
Warning - collinearities detected
Vars dropped:       yr1 yr2 yr47 yr48 yr49 yr50

FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       138                    Obs per group: min =         4
                                                               avg =      37.1
                                                               max =        45
Warning - collinearities detected
Vars dropped:  yr1 yr2 yr47 yr48 yr49 yr50

First-stage regressions
-----------------------


FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       138                    Obs per group: min =         4
                                                               avg =      37.1
                                                               max =        45

First-stage regression of demo_l1:

Statistics robust to heteroskedasticity and clustering on ccode
Number of obs =                   5114
Number of clusters (ccode) =       138
------------------------------------------------------------------------------
             |               Robust
     demo_l1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   demo_wave |
         L1. |   .6381857   .1370136     4.66   0.000     .3695779    .9067935
             |
 Capacity_l1 |   .0794015   .0291009     2.73   0.006     .0223507    .1364522
 Capacity_l2 |  -.0238314   .0278505    -0.86   0.392    -.0784309     .030768
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |   .0814511   .1136353     0.72   0.474     -.141325    .3042271
         yr4 |   .0678039   .1107365     0.61   0.540     -.149289    .2848969
         yr5 |   .0523947   .1049247     0.50   0.618    -.1533046    .2580939
         yr6 |   .0456088   .1016262     0.45   0.654     -.153624    .2448415
         yr7 |   .0414296    .099426     0.42   0.677    -.1534898     .236349
         yr8 |   .0349258   .0957138     0.36   0.715    -.1527161    .2225676
         yr9 |   .0234833   .0962519     0.24   0.807    -.1652133    .2121799
        yr10 |   .0021872   .0945787     0.02   0.982    -.1832292    .1876037
        yr11 |  -.0067982   .0925736    -0.07   0.941    -.1882838    .1746875
        yr12 |  -.0241022   .0895048    -0.27   0.788    -.1995715    .1513671
        yr13 |  -.0107717    .091901    -0.12   0.907    -.1909386    .1693953
        yr14 |  -.0333925   .0890495    -0.37   0.708    -.2079694    .1411843
        yr15 |  -.0450279   .0837132    -0.54   0.591    -.2091432    .1190875
        yr16 |  -.0499724    .078304    -0.64   0.523    -.2034832    .1035384
        yr17 |  -.0542673   .0784589    -0.69   0.489    -.2080817    .0995471
        yr18 |  -.0695769   .0690669    -1.01   0.314     -.204979    .0658251
        yr19 |  -.0893832   .0640959    -1.39   0.163    -.2150398    .0362733
        yr20 |  -.1013464   .0620381    -1.63   0.102    -.2229689     .020276
        yr21 |  -.0891283   .0614747    -1.45   0.147    -.2096462    .0313897
        yr22 |  -.1031855   .0605889    -1.70   0.089    -.2219668    .0155958
        yr23 |  -.1123159   .0593239    -1.89   0.058    -.2286171    .0039854
        yr24 |  -.1058117   .0602505    -1.76   0.079    -.2239297    .0123063
        yr25 |  -.0955537   .0589535    -1.62   0.105    -.2111289    .0200215
        yr26 |  -.0892821   .0584732    -1.53   0.127    -.2039157    .0253516
        yr27 |  -.0888876   .0573346    -1.55   0.121     -.201289    .0235139
        yr28 |  -.0776488   .0540947    -1.44   0.151    -.1836985    .0284009
        yr29 |  -.0768547   .0529682    -1.45   0.147     -.180696    .0269865
        yr30 |   -.058761   .0528795    -1.11   0.267    -.1624284    .0449064
        yr31 |  -.0534384   .0509391    -1.05   0.294    -.1533017     .046425
        yr32 |  -.0546152   .0511292    -1.07   0.285    -.1548513    .0456209
        yr33 |  -.0270275   .0457516    -0.59   0.555    -.1167211    .0626661
        yr34 |  -.0147067   .0468635    -0.31   0.754    -.1065801    .0771668
        yr35 |   .0042627   .0452298     0.09   0.925    -.0844079    .0929332
        yr36 |   .0040015   .0434171     0.09   0.927    -.0811153    .0891183
        yr37 |  -.0096048   .0431045    -0.22   0.824    -.0941088    .0748993
        yr38 |  -.0185291   .0436406    -0.42   0.671    -.1040843     .067026
        yr39 |  -.0021655   .0409271    -0.05   0.958    -.0824009    .0780698
        yr40 |  -.0103081   .0398042    -0.26   0.796    -.0883421    .0677258
        yr41 |  -.0039006   .0361615    -0.11   0.914    -.0747934    .0669922
        yr42 |   -.006279   .0338847    -0.19   0.853    -.0727081    .0601501
        yr43 |  -.0042348   .0333211    -0.13   0.899    -.0695591    .0610894
        yr44 |  -.0043458   .0287593    -0.15   0.880    -.0607269    .0520352
        yr45 |  -.0077812   .0236846    -0.33   0.743    -.0542136    .0386512
        yr46 |  -.0027365   .0179833    -0.15   0.879    -.0379918    .0325187
        yr47 |          0  (omitted)
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |  -.0466669   .1108394    -0.42   0.674    -.2639615    .1706277
      elf_l1 |    .198438   .3167436     0.63   0.531     -.422521    .8193969
   logGDP_l1 |  -.0165652   .0727223    -0.23   0.820    -.1591333    .1260029
     agri_l1 |  -.5200701   .2388395    -2.18   0.029    -.9883023   -.0518379
 literacy_l1 |   .1043011   .1866672     0.56   0.576    -.2616501    .4702522
      min_l1 |  -.3328505   .1817367    -1.83   0.067    -.6891356    .0234346
resources_l1 |   .0034531   .0191957     0.18   0.857    -.0341791    .0410854
  log_aid_l1 |   .0403456   .0165989     2.43   0.015     .0078042    .0728869
  exports_l1 |   .0914279   .1102239     0.83   0.407    -.1246602    .3075161
  rivalry_l1 |  -.1288013   .0470885    -2.74   0.006    -.2211159   -.0364867
   threat_l1 |   .0213537   .0341953     0.62   0.532    -.0456842    .0883917
      war_l1 |  -.0275353   .0246141    -1.12   0.263      -.07579    .0207194
------------------------------------------------------------------------------
F test of excluded instruments:
  F(  1,   137) =    21.70
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  1,   137) =    21.70
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  1,   137)  P-val | SW Chi-sq(  1) P-val | SW F(  1,   137)
demo_l1      |      21.70    0.0000 |       22.10   0.0000 |       21.70

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             16.38
                                   15% maximal IV size              8.96
                                   20% maximal IV size              6.66
                                   25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(1)=17.51    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     224.52
Kleibergen-Paap Wald rk F statistic                                21.70

Stock-Yogo weak ID test critical values for K1=1 and L1=1:
                                   10% maximal IV size             16.38
                                   15% maximal IV size              8.96
                                   20% maximal IV size              6.66
                                   25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(1,137)=       9.00     P-val=0.0032
Anderson-Rubin Wald test           Chi-sq(1)=      9.17     P-val=0.0025
Stock-Wright LM S statistic        Chi-sq(1)=     22.92     P-val=0.0000

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        138
Number of observations               N  =       5114
Number of regressors                 K  =         59
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         59
Number of excluded instruments       L1 =          1

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ccode

Number of clusters (ccode) =       138                Number of obs =     5114
                                                      F( 59,   137) =   421.98
                                                      Prob > F      =   0.0000
Total (centered) SS     =  948.7964624                Centered R2   =   0.8506
Total (uncentered) SS   =  948.7964624                Uncentered R2 =   0.8506
Residual SS             =  141.7334513                Root MSE      =    .1688

------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .1621967   .0600815     2.70   0.007      .044439    .2799544
 Capacity_l1 |    .738438   .0289719    25.49   0.000     .6816541    .7952218
 Capacity_l2 |   .0817942   .0232191     3.52   0.000     .0362855    .1273029
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |   -.092533   .0498808    -1.86   0.064    -.1902976    .0052316
         yr4 |  -.0750722    .052313    -1.44   0.151    -.1776039    .0274594
         yr5 |  -.0879432   .0489132    -1.80   0.072    -.1838112    .0079248
         yr6 |  -.0693762   .0480489    -1.44   0.149    -.1635504    .0247979
         yr7 |  -.0882137   .0472369    -1.87   0.062    -.1807963     .004369
         yr8 |  -.0856229   .0459003    -1.87   0.062    -.1755858      .00434
         yr9 |  -.0957914   .0460903    -2.08   0.038    -.1861268    -.005456
        yr10 |  -.0836966   .0458689    -1.82   0.068     -.173598    .0062049
        yr11 |  -.0433694   .0449901    -0.96   0.335    -.1315483    .0448096
        yr12 |  -.0235439   .0439163    -0.54   0.592    -.1096182    .0625305
        yr13 |  -.0234284   .0413026    -0.57   0.571    -.1043801    .0575232
        yr14 |   .0068344   .0408521     0.17   0.867    -.0732342     .086903
        yr15 |   .0243167   .0400115     0.61   0.543    -.0541044    .1027378
        yr16 |    .029875   .0433361     0.69   0.491    -.0550621    .1148121
        yr17 |   .0595482   .0401517     1.48   0.138    -.0191477    .1382441
        yr18 |   .0532424   .0381291     1.40   0.163    -.0214892    .1279741
        yr19 |   .0480498   .0367374     1.31   0.191    -.0239541    .1200537
        yr20 |   .0302609   .0371797     0.81   0.416    -.0426099    .1031318
        yr21 |   .0773013   .0358718     2.15   0.031     .0069939    .1476086
        yr22 |   .0689168   .0388148     1.78   0.076    -.0071588    .1449925
        yr23 |   -.004267   .0359576    -0.12   0.906    -.0747427    .0662086
        yr24 |   .0292465   .0331541     0.88   0.378    -.0357343    .0942273
        yr25 |   .0116844   .0335726     0.35   0.728    -.0541167    .0774855
        yr26 |  -.0182287    .033911    -0.54   0.591     -.084693    .0482357
        yr27 |   .0239849   .0322245     0.74   0.457    -.0391739    .0871437
        yr28 |   .0060018   .0305887     0.20   0.844    -.0539511    .0659546
        yr29 |   .0159791   .0268541     0.60   0.552    -.0366539    .0686122
        yr30 |   .0072411   .0315783     0.23   0.819    -.0546513    .0691335
        yr31 |   .0225498   .0328623     0.69   0.493    -.0418592    .0869588
        yr32 |  -.0523054   .0299566    -1.75   0.081    -.1110193    .0064086
        yr33 |  -.0063798    .030681    -0.21   0.835    -.0665134    .0537537
        yr34 |  -.0101311   .0285926    -0.35   0.723    -.0661716    .0459095
        yr35 |   .0093688   .0261639     0.36   0.720    -.0419114     .060649
        yr36 |   .0666536   .0245459     2.72   0.007     .0185446    .1147626
        yr37 |   .0272092   .0206666     1.32   0.188    -.0132965     .067715
        yr38 |   -.023793   .0213983    -1.11   0.266    -.0657328    .0181468
        yr39 |  -.0113982   .0216505    -0.53   0.599    -.0538324     .031036
        yr40 |  -.0584395   .0208454    -2.80   0.005    -.0992957   -.0175832
        yr41 |    .054643   .0238134     2.29   0.022     .0079696    .1013165
        yr42 |  -.0202052   .0192707    -1.05   0.294    -.0579751    .0175646
        yr43 |  -.0269337   .0189399    -1.42   0.155    -.0640552    .0101877
        yr44 |  -.0111245   .0204827    -0.54   0.587    -.0512699    .0290209
        yr45 |  -.0559189    .024143    -2.32   0.021    -.1032384   -.0085995
        yr46 |  -.0171266   .0200415    -0.85   0.393    -.0564073     .022154
        yr47 |          0  (omitted)
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |  -.0675166   .0419268    -1.61   0.107    -.1496915    .0146584
      elf_l1 |  -.1222925   .0493179    -2.48   0.013    -.2189538   -.0256312
   logGDP_l1 |   .0969699   .0229563     4.22   0.000     .0519764    .1419633
     agri_l1 |     .06973   .0930155     0.75   0.453     -.112577     .252037
 literacy_l1 |  -.0344141    .055774    -0.62   0.537    -.1437292    .0749009
      min_l1 |  -.1939165   .1022462    -1.90   0.058    -.3943154    .0064824
resources_l1 |   .0161888   .0062693     2.58   0.010     .0039012    .0284764
  log_aid_l1 |  -.0024238   .0056315    -0.43   0.667    -.0134613    .0086137
  exports_l1 |   .0848563   .0313643     2.71   0.007     .0233834    .1463292
  rivalry_l1 |   .0044721   .0150465     0.30   0.766    -.0250185    .0339626
   threat_l1 |   .0405316    .018045     2.25   0.025      .005164    .0758992
      war_l1 |   .0082367   .0097376     0.85   0.398    -.0108487    .0273222
------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             17.514
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              224.522
                         (Kleibergen-Paap rk Wald F statistic):         21.695
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         0.000
                                                 (equation exactly identified)
------------------------------------------------------------------------------
Instrumented:         demo_l1
Included instruments: Capacity_l1 Capacity_l2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10
                      yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21
                      yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32
                      yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43
                      yr44 yr45 yr46 lnpop_l1 elf_l1 logGDP_l1 agri_l1
                      literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1
                      rivalry_l1 threat_l1 war_l1
Excluded instruments: L.demo_wave
Dropped collinear:    yr1 yr2 yr47 yr48 yr49 yr50
------------------------------------------------------------------------------

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons
output/out.xml
dir : seeout

. 
. xtivreg2  Capacity $lags yr1-yr50 $covar sCapacity_l1  (demo_l1 = L.demo_wave), fe  cl(ccode)  first
Warning - collinearities detected
Vars dropped:       yr1 yr2 yr47 yr48 yr49 yr50

FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       136                    Obs per group: min =         4
                                                               avg =      36.9
                                                               max =        45
Warning - collinearities detected
Vars dropped:  yr1 yr2 yr47 yr48 yr49 yr50

First-stage regressions
-----------------------


FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       136                    Obs per group: min =         4
                                                               avg =      36.9
                                                               max =        45

First-stage regression of demo_l1:

Statistics robust to heteroskedasticity and clustering on ccode
Number of obs =                   5024
Number of clusters (ccode) =       136
------------------------------------------------------------------------------
             |               Robust
     demo_l1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   demo_wave |
         L1. |   .6523964   .1357161     4.81   0.000     .3863312    .9184617
             |
 Capacity_l1 |   .0828709   .0305626     2.71   0.007     .0229544    .1427875
 Capacity_l2 |  -.0179115   .0280351    -0.64   0.523    -.0728731      .03705
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |  -.1190651   .1769208    -0.67   0.501    -.4659104    .2277802
         yr4 |  -.1198689   .1701745    -0.70   0.481    -.4534884    .2137506
         yr5 |  -.1105465   .1606423    -0.69   0.491    -.4254785    .2043856
         yr6 |  -.1101823   .1548196    -0.71   0.477    -.4136991    .1933346
         yr7 |  -.1021995   .1468075    -0.70   0.486     -.390009    .1856101
         yr8 |  -.1077365   .1400499    -0.77   0.442    -.3822981    .1668251
         yr9 |   -.113014   .1381289    -0.82   0.413    -.3838095    .1577814
        yr10 |  -.1371445   .1379762    -0.99   0.320    -.4076407    .1333517
        yr11 |  -.1355876   .1325488    -1.02   0.306    -.3954436    .1242684
        yr12 |  -.1400091   .1248184    -1.12   0.262      -.38471    .1046917
        yr13 |  -.1081003   .1191971    -0.91   0.365    -.3417808    .1255803
        yr14 |  -.1111716   .1090177    -1.02   0.308     -.324896    .1025528
        yr15 |   -.103241   .0967834    -1.07   0.286    -.2929805    .0864986
        yr16 |  -.0926462    .086741    -1.07   0.286     -.262698    .0774057
        yr17 |  -.0928904   .0853905    -1.09   0.277    -.2602946    .0745139
        yr18 |  -.0845816   .0719644    -1.18   0.240    -.2256645    .0565014
        yr19 |  -.0926378   .0657373    -1.41   0.159    -.2215129    .0362373
        yr20 |  -.0885138   .0630552    -1.40   0.160    -.2121306     .035103
        yr21 |  -.0677085   .0633058    -1.07   0.285    -.1918167    .0563998
        yr22 |  -.0607479   .0663552    -0.92   0.360    -.1908344    .0693385
        yr23 |  -.0563556    .068399    -0.82   0.410    -.1904489    .0777376
        yr24 |  -.0674925   .0641872    -1.05   0.293    -.1933286    .0583436
        yr25 |  -.0501668   .0643283    -0.78   0.436    -.1762795    .0759459
        yr26 |  -.0464408   .0627403    -0.74   0.459    -.1694405    .0765588
        yr27 |  -.0548471   .0598828    -0.92   0.360    -.1722446    .0625505
        yr28 |  -.0384262   .0573302    -0.67   0.503    -.1508194     .073967
        yr29 |  -.0429272   .0554196    -0.77   0.439    -.1515747    .0657204
        yr30 |  -.0190933   .0566285    -0.34   0.736    -.1301109    .0919243
        yr31 |  -.0218279   .0537002    -0.41   0.684    -.1271048     .083449
        yr32 |  -.0249014    .052803    -0.47   0.637    -.1284193    .0786165
        yr33 |   -.060625   .0533058    -1.14   0.255    -.1651287    .0438787
        yr34 |  -.0203889   .0482415    -0.42   0.673    -.1149643    .0741864
        yr35 |  -.0025311   .0462484    -0.05   0.956    -.0931991    .0881368
        yr36 |   .0062477    .044625     0.14   0.889    -.0812375    .0937329
        yr37 |     .00873   .0452554     0.19   0.847    -.0799913    .0974513
        yr38 |   .0058952   .0465785     0.13   0.899    -.0854199    .0972103
        yr39 |    .015036   .0431433     0.35   0.727    -.0695445    .0996166
        yr40 |   .0073175   .0419416     0.17   0.862     -.074907    .0895421
        yr41 |  -.0048121   .0371735    -0.13   0.897    -.0776892    .0680649
        yr42 |   .0107636   .0353356     0.30   0.761    -.0585102    .0800375
        yr43 |    .007251    .034648     0.21   0.834    -.0606748    .0751769
        yr44 |    .005841   .0299897     0.19   0.846    -.0529525    .0646345
        yr45 |   .0038422   .0255027     0.15   0.880    -.0461548    .0538391
        yr46 |  -.0062074   .0185044    -0.34   0.737    -.0424845    .0300696
        yr47 |          0  (omitted)
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |  -.0519861   .1114762    -0.47   0.641    -.2705303     .166558
      elf_l1 |    .205274   .3179134     0.65   0.519     -.417981     .828529
   logGDP_l1 |  -.0195221    .074181    -0.26   0.792    -.1649506    .1259065
     agri_l1 |  -.5486774   .2446027    -2.24   0.025     -1.02821   -.0691446
 literacy_l1 |   .1226904   .1929961     0.64   0.525      -.25567    .5010507
      min_l1 |   -.305211    .195566    -1.56   0.119    -.6886094    .0781874
resources_l1 |   .0082778   .0193807     0.43   0.669    -.0297172    .0462727
  log_aid_l1 |   .0425305    .016644     2.56   0.011     .0099007    .0751603
  exports_l1 |   .1251608   .1158619     1.08   0.280    -.1019813    .3523028
  rivalry_l1 |   -.137394    .047915    -2.87   0.004    -.2313293   -.0434587
   threat_l1 |   .0180766   .0345683     0.52   0.601     -.049693    .0858461
      war_l1 |  -.0279129   .0251378    -1.11   0.267    -.0771945    .0213687
sCapacity_l1 |  -.2769597   .1794494    -1.54   0.123    -.6287623    .0748429
------------------------------------------------------------------------------
F test of excluded instruments:
  F(  1,   135) =    23.11
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  1,   135) =    23.11
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  1,   135)  P-val | SW Chi-sq(  1) P-val | SW F(  1,   135)
demo_l1      |      23.11    0.0000 |       23.56   0.0000 |       23.11

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             16.38
                                   15% maximal IV size              8.96
                                   20% maximal IV size              6.66
                                   25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(1)=18.19    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     231.20
Kleibergen-Paap Wald rk F statistic                                23.11

Stock-Yogo weak ID test critical values for K1=1 and L1=1:
                                   10% maximal IV size             16.38
                                   15% maximal IV size              8.96
                                   20% maximal IV size              6.66
                                   25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(1,135)=       7.49     P-val=0.0070
Anderson-Rubin Wald test           Chi-sq(1)=      7.63     P-val=0.0057
Stock-Wright LM S statistic        Chi-sq(1)=     20.16     P-val=0.0000

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        136
Number of observations               N  =       5024
Number of regressors                 K  =         60
Number of endogenous regressors      K1 =          1
Number of instruments                L  =         60
Number of excluded instruments       L1 =          1

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ccode

Number of clusters (ccode) =       136                Number of obs =     5024
                                                      F( 60,   135) =   450.94
                                                      Prob > F      =   0.0000
Total (centered) SS     =  936.5879556                Centered R2   =   0.8562
Total (uncentered) SS   =  936.5879556                Uncentered R2 =   0.8562
Residual SS             =  134.6381009                Root MSE      =     .166

------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .1431312   .0557254     2.57   0.010     .0339114    .2523509
 Capacity_l1 |   .7516673   .0279798    26.86   0.000     .6968279    .8065067
 Capacity_l2 |   .0648328   .0213319     3.04   0.002      .023023    .1066425
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |   .0309988   .0664255     0.47   0.641    -.0991929    .1611905
         yr4 |   .0470953   .0679353     0.69   0.488    -.0860554     .180246
         yr5 |   .0232032   .0621643     0.37   0.709    -.0986366    .1450429
         yr6 |   .0298134   .0623356     0.48   0.632    -.0923622    .1519889
         yr7 |   .0065031   .0603354     0.11   0.914    -.1117521    .1247582
         yr8 |   .0092145   .0581888     0.16   0.874    -.1048334    .1232624
         yr9 |  -.0049874   .0580074    -0.09   0.931    -.1186799     .108705
        yr10 |   .0062726   .0586029     0.11   0.915    -.1085871    .1211322
        yr11 |   .0414344   .0565864     0.73   0.464    -.0694729    .1523418
        yr12 |   .0517613   .0547477     0.95   0.344    -.0555423    .1590649
        yr13 |   .0421669   .0491618     0.86   0.391    -.0541884    .1385222
        yr14 |   .0586647   .0471645     1.24   0.214     -.033776    .1511053
        yr15 |   .0592798   .0435176     1.36   0.173    -.0260132    .1445728
        yr16 |   .0553642   .0455402     1.22   0.224    -.0338931    .1446214
        yr17 |   .0844173     .04216     2.00   0.045     .0017852    .1670493
        yr18 |   .0649384    .038853     1.67   0.095     -.011212    .1410888
        yr19 |   .0507568   .0363957     1.39   0.163    -.0205774     .122091
        yr20 |    .020789   .0361047     0.58   0.565    -.0499749    .0915529
        yr21 |   .0594455   .0338774     1.75   0.079     -.006953    .1258441
        yr22 |   .0401496   .0364999     1.10   0.271     -.031389    .1116881
        yr23 |  -.0391542   .0338018    -1.16   0.247    -.1054045    .0270961
        yr24 |   .0060949   .0308341     0.20   0.843    -.0543388    .0665287
        yr25 |  -.0102994   .0321959    -0.32   0.749    -.0734023    .0528034
        yr26 |   -.045558    .033155    -1.37   0.169    -.1105406    .0194246
        yr27 |   .0002897   .0306256     0.01   0.992    -.0597354    .0603148
        yr28 |  -.0151297   .0293381    -0.52   0.606    -.0726313     .042372
        yr29 |  -.0050561   .0256199    -0.20   0.844    -.0552701    .0451579
        yr30 |  -.0163518    .029613    -0.55   0.581    -.0743922    .0416886
        yr31 |   .0061534   .0314534     0.20   0.845    -.0554941    .0678008
        yr32 |  -.0648752   .0290293    -2.23   0.025    -.1217717   -.0079788
        yr33 |   .0153754   .0301933     0.51   0.611    -.0438024    .0745532
        yr34 |  -.0019084   .0285823    -0.07   0.947    -.0579286    .0541118
        yr35 |   .0155037   .0261643     0.59   0.553    -.0357775    .0667848
        yr36 |   .0654109   .0247216     2.65   0.008     .0169574    .1138643
        yr37 |   .0163696   .0199067     0.82   0.411    -.0226467     .055386
        yr38 |  -.0365347   .0217587    -1.68   0.093    -.0791811    .0061116
        yr39 |  -.0200169   .0215146    -0.93   0.352    -.0621847    .0221509
        yr40 |  -.0652167   .0202694    -3.22   0.001     -.104944   -.0254894
        yr41 |   .0559663   .0241578     2.32   0.021     .0086178    .1033148
        yr42 |  -.0328359   .0188839    -1.74   0.082    -.0698476    .0041759
        yr43 |  -.0349187   .0187028    -1.87   0.062    -.0715754    .0017381
        yr44 |  -.0128913   .0197453    -0.65   0.514    -.0515915    .0258088
        yr45 |  -.0633877   .0238762    -2.65   0.008    -.1101843   -.0165912
        yr46 |  -.0132221   .0203943    -0.65   0.517    -.0531943    .0267501
        yr47 |          0  (omitted)
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |   -.067056   .0404718    -1.66   0.098    -.1463793    .0122673
      elf_l1 |  -.1188036   .0423925    -2.80   0.005    -.2018915   -.0357158
   logGDP_l1 |   .0986964   .0220479     4.48   0.000     .0554833    .1419096
     agri_l1 |   .0566942   .0921934     0.61   0.539    -.1240016    .2373899
 literacy_l1 |  -.0314696   .0571954    -0.55   0.582    -.1435706    .0806313
      min_l1 |  -.1916467   .1157581    -1.66   0.098    -.4185285    .0352351
resources_l1 |   .0171443   .0061191     2.80   0.005      .005151    .0291376
  log_aid_l1 |  -.0004601   .0054153    -0.08   0.932    -.0110738    .0101537
  exports_l1 |   .0767008   .0316594     2.42   0.015     .0146495    .1387521
  rivalry_l1 |   .0035206   .0150597     0.23   0.815    -.0259959    .0330371
   threat_l1 |   .0460153   .0181249     2.54   0.011     .0104911    .0815395
      war_l1 |   .0070404   .0095413     0.74   0.461    -.0116602    .0257411
sCapacity_l1 |   .1637993   .0530889     3.09   0.002      .059747    .2678516
------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.195
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              231.197
                         (Kleibergen-Paap rk Wald F statistic):         23.108
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         0.000
                                                 (equation exactly identified)
------------------------------------------------------------------------------
Instrumented:         demo_l1
Included instruments: Capacity_l1 Capacity_l2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10
                      yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21
                      yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32
                      yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43
                      yr44 yr45 yr46 lnpop_l1 elf_l1 logGDP_l1 agri_l1
                      literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1
                      rivalry_l1 threat_l1 war_l1 sCapacity_l1
Excluded instruments: L.demo_wave
Dropped collinear:    yr1 yr2 yr47 yr48 yr49 yr50
------------------------------------------------------------------------------

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 sCapacity_l1) nocons
output/out.xml
dir : seeout

. 
. * spacial lag also instrumented
. xtivreg2  Capacity $lags yr1-yr50 $covar  (demo_l1 sCapacity_l1 = L.demo_wave sCapacity_l2), fe  cl(ccode)  first
Warning - collinearities detected
Vars dropped:       yr1 yr2 yr47 yr48 yr49 yr50

FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       136                    Obs per group: min =         4
                                                               avg =      36.9
                                                               max =        45
Warning - collinearities detected
Vars dropped:  yr1 yr2 yr47 yr48 yr49 yr50

First-stage regressions
-----------------------


FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       136                    Obs per group: min =         4
                                                               avg =      36.9
                                                               max =        45

First-stage regression of demo_l1:

Statistics robust to heteroskedasticity and clustering on ccode
Number of obs =                   5024
Number of clusters (ccode) =       136
------------------------------------------------------------------------------
             |               Robust
     demo_l1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   demo_wave |
         L1. |   .6492058   .1356473     4.79   0.000     .3832752    .9151363
             |
sCapacity_l2 |  -.2875848   .1650531    -1.74   0.082     -.611164    .0359944
 Capacity_l1 |   .0806128   .0300693     2.68   0.007     .0216632    .1395624
 Capacity_l2 |  -.0140293   .0277691    -0.51   0.613    -.0684694    .0404109
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |  -.1392747   .1710993    -0.81   0.416    -.4747073    .1961578
         yr4 |  -.1333631   .1626802    -0.82   0.412    -.4522903    .1855641
         yr5 |  -.1263582   .1546346    -0.82   0.414    -.4295124    .1767959
         yr6 |  -.1205849    .147116    -0.82   0.412    -.4089992    .1678295
         yr7 |  -.1162551   .1415149    -0.82   0.411    -.3936887    .1611785
         yr8 |  -.1103267   .1311683    -0.84   0.400    -.3674764    .1468229
         yr9 |  -.1210884   .1320006    -0.92   0.359    -.3798696    .1376928
        yr10 |  -.1369593    .128454    -1.07   0.286    -.3887876    .1148691
        yr11 |   -.147581   .1285301    -1.15   0.251    -.3995586    .1043966
        yr12 |  -.1545448   .1227771    -1.26   0.208    -.3952439    .0861542
        yr13 |  -.1276257   .1199769    -1.06   0.287     -.362835    .1075837
        yr14 |  -.1334979    .111166    -1.20   0.230    -.3514338     .084438
        yr15 |  -.1238164   .0986427    -1.26   0.209     -.317201    .0695683
        yr16 |  -.1107309   .0886875    -1.25   0.212    -.2845987     .063137
        yr17 |  -.0966187   .0840793    -1.15   0.251    -.2614524     .068215
        yr18 |  -.1047489   .0743411    -1.41   0.159    -.2504913    .0409934
        yr19 |  -.1035204   .0664166    -1.56   0.119    -.2337271    .0266864
        yr20 |  -.1025789   .0632597    -1.62   0.105    -.2265967    .0214388
        yr21 |  -.0752314   .0627242    -1.20   0.230    -.1981993    .0477365
        yr22 |  -.0785099   .0629814    -1.25   0.213    -.2019822    .0449623
        yr23 |  -.0654813   .0650774    -1.01   0.314    -.1930627    .0621001
        yr24 |  -.0448901   .0687398    -0.65   0.514    -.1796513    .0898712
        yr25 |  -.0533521   .0632886    -0.84   0.399    -.1774266    .0707225
        yr26 |  -.0405592   .0635843    -0.64   0.524    -.1652134     .084095
        yr27 |  -.0419052   .0620655    -0.68   0.500    -.1635818    .0797715
        yr28 |  -.0372216   .0572817    -0.65   0.516      -.14952    .0750767
        yr29 |  -.0344474   .0566521    -0.61   0.543    -.1455113    .0766166
        yr30 |  -.0205758   .0560447    -0.37   0.714    -.1304491    .0892974
        yr31 |  -.0112259   .0551036    -0.20   0.839    -.1192539    .0968022
        yr32 |  -.0242945   .0524779    -0.46   0.643     -.127175     .078586
        yr33 |    .006696   .0488863     0.14   0.891    -.0891435    .1025354
        yr34 |  -.0500819   .0517244    -0.97   0.333    -.1514853    .0513216
        yr35 |   .0007265   .0459873     0.02   0.987    -.0894295    .0908826
        yr36 |   .0001683   .0446399     0.00   0.997    -.0873463    .0876829
        yr37 |  -.0058141   .0441372    -0.13   0.895     -.092343    .0807149
        yr38 |   .0033312   .0457271     0.07   0.942    -.0863148    .0929773
        yr39 |   .0255202   .0445603     0.57   0.567    -.0618383    .1128787
        yr40 |   .0110587   .0422506     0.26   0.794    -.0717716    .0938891
        yr41 |   .0164029    .037991     0.43   0.666    -.0580769    .0908826
        yr42 |   -.005916   .0347114    -0.17   0.865    -.0739662    .0621342
        yr43 |   .0167569   .0357025     0.47   0.639    -.0532363    .0867502
        yr44 |   .0123701   .0307321     0.40   0.687    -.0478788     .072619
        yr45 |   .0052072   .0255948     0.20   0.839    -.0449703    .0553847
        yr46 |   .0104733   .0205628     0.51   0.611    -.0298391    .0507858
        yr47 |          0  (omitted)
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |  -.0493577   .1114956    -0.44   0.658    -.2679398    .1692245
      elf_l1 |   .2058741   .3182154     0.65   0.518    -.4179731    .8297213
   logGDP_l1 |  -.0197413    .074284    -0.27   0.790    -.1653717    .1258891
     agri_l1 |  -.5466619   .2444768    -2.24   0.025    -1.025948   -.0673761
 literacy_l1 |   .1215517   .1932545     0.63   0.529    -.2573152    .5004186
      min_l1 |  -.3060693   .1950201    -1.57   0.117    -.6883976     .076259
resources_l1 |   .0087166   .0194339     0.45   0.654    -.0293827    .0468159
  log_aid_l1 |     .04306   .0166204     2.59   0.010     .0104765    .0756435
  exports_l1 |   .1232942   .1157173     1.07   0.287    -.1035644    .3501528
  rivalry_l1 |  -.1378059   .0478791    -2.88   0.004    -.2316708    -.043941
   threat_l1 |   .0182065    .034631     0.53   0.599    -.0496861     .086099
      war_l1 |  -.0277268   .0250875    -1.11   0.269    -.0769097    .0214561
------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   135) =    12.98
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  1,   135) =    23.75
  Prob > F      =   0.0000


FIXED EFFECTS ESTIMATION
------------------------
Number of groups =       136                    Obs per group: min =         4
                                                               avg =      36.9
                                                               max =        45

First-stage regression of sCapacity_l1:

Statistics robust to heteroskedasticity and clustering on ccode
Number of obs =                   5024
Number of clusters (ccode) =       136
------------------------------------------------------------------------------
             |               Robust
sCapacity_l1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   demo_wave |
         L1. |   .0221103   .0094472     2.34   0.019     .0035896    .0406311
             |
sCapacity_l2 |   .7242242   .0547414    13.23   0.000     .6169062    .8315422
 Capacity_l1 |   .0106491      .0039     2.73   0.006     .0030033    .0182949
 Capacity_l2 |  -.0049041   .0035863    -1.37   0.172    -.0119348    .0021266
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |  -.1715527   .0453796    -3.78   0.000    -.2605174    -.082588
         yr4 |   -.175191    .042174    -4.15   0.000    -.2578714   -.0925107
         yr5 |  -.1549564   .0399626    -3.88   0.000    -.2333014   -.0766114
         yr6 |  -.1598046   .0370983    -4.31   0.000    -.2325342    -.087075
         yr7 |  -.1374313   .0357805    -3.84   0.000    -.2075773   -.0672853
         yr8 |  -.1648342   .0332454    -4.96   0.000    -.2300103   -.0996581
         yr9 |  -.1425348   .0328461    -4.34   0.000    -.2069281   -.0781415
        yr10 |  -.1653928   .0314968    -5.25   0.000    -.2271408   -.1036447
        yr11 |  -.1225122   .0318662    -3.84   0.000    -.1849844     -.06004
        yr12 |  -.1023358   .0298749    -3.43   0.001    -.1609042   -.0437675
        yr13 |  -.0700231   .0272538    -2.57   0.010    -.1234528   -.0165933
        yr14 |  -.0390092   .0235492    -1.66   0.098    -.0851764     .007158
        yr15 |  -.0202539    .019213    -1.05   0.292    -.0579201    .0174124
        yr16 |  -.0065998   .0152316    -0.43   0.665    -.0364607     .023261
        yr17 |  -.0375988   .0118521    -3.17   0.002    -.0608343   -.0143633
        yr18 |   .0296892   .0102741     2.89   0.004     .0095473    .0498312
        yr19 |   .0204298   .0070687     2.89   0.004     .0065719    .0342877
        yr20 |   .0464649   .0054371     8.55   0.000     .0358056    .0571242
        yr21 |   .0402978   .0058819     6.85   0.000     .0287666    .0518291
        yr22 |   .0894043    .006015    14.86   0.000     .0776123    .1011964
        yr23 |   .0819062   .0090886     9.01   0.000     .0640884     .099724
        yr24 |  -.0176243   .0114467    -1.54   0.124    -.0400651    .0048166
        yr25 |   .0551091   .0080829     6.82   0.000      .039263    .0709552
        yr26 |     .03009   .0093835     3.21   0.001      .011694    .0484859
        yr27 |   .0028613   .0087496     0.33   0.744    -.0142919    .0200145
        yr28 |   .0357302   .0082867     4.31   0.000     .0194845    .0519759
        yr29 |    .012363   .0080454     1.54   0.124    -.0034097    .0281357
        yr30 |   .0427715   .0070032     6.11   0.000      .029042     .056501
        yr31 |   .0048063   .0081594     0.59   0.556    -.0111899    .0208026
        yr32 |   .0288731   .0062769     4.60   0.000     .0165675    .0411787
        yr33 |  -.2082864   .0115623   -18.01   0.000    -.2309539    -.185619
        yr34 |   .0656616   .0063682    10.31   0.000     .0531771    .0781462
        yr35 |  -.0187218    .008973    -2.09   0.037    -.0363129   -.0011306
        yr36 |   .0143168   .0043261     3.31   0.001     .0058357     .022798
        yr37 |   .0544257    .004774    11.40   0.000     .0450665    .0637849
        yr38 |   .0307697   .0037014     8.31   0.000     .0235133    .0380261
        yr39 |  -.0094224   .0057231    -1.65   0.100    -.0206423    .0017975
        yr40 |   .0075848    .004441     1.71   0.088    -.0011215     .016291
        yr41 |  -.0554137   .0043258   -12.81   0.000    -.0638942   -.0469331
        yr42 |   .0609035   .0038096    15.99   0.000     .0534348    .0683721
        yr43 |    -.01102   .0040285    -2.74   0.006    -.0189178   -.0031222
        yr44 |  -.0067516   .0036998    -1.82   0.068    -.0140049    .0005016
        yr45 |   .0082844   .0030827     2.69   0.007     .0022409     .014328
        yr46 |   -.044376   .0036274   -12.23   0.000    -.0514874   -.0372646
        yr47 |          0  (omitted)
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |  -.0062452    .008983    -0.70   0.487    -.0238561    .0113656
      elf_l1 |   .0058191   .0062636     0.93   0.353    -.0064605    .0180987
   logGDP_l1 |  -.0010659   .0050707    -0.21   0.834    -.0110069    .0088751
     agri_l1 |  -.0239544   .0238183    -1.01   0.315    -.0706491    .0227403
 literacy_l1 |  -.0060969   .0156349    -0.39   0.697    -.0367485    .0245546
      min_l1 |    .004826   .0152974     0.32   0.752    -.0251638    .0348159
resources_l1 |  -.0002123    .001204    -0.18   0.860    -.0025727    .0021481
  log_aid_l1 |  -.0017316   .0012925    -1.34   0.180    -.0042655    .0008022
  exports_l1 |   .0152221   .0108308     1.41   0.160    -.0060113    .0364555
  rivalry_l1 |   -.000407   .0035846    -0.11   0.910    -.0074344    .0066204
   threat_l1 |  -.0060878   .0044278    -1.37   0.169    -.0147683    .0025928
      war_l1 |  -.0030644   .0018059    -1.70   0.090    -.0066049    .0004761
------------------------------------------------------------------------------
F test of excluded instruments:
  F(  2,   135) =    97.28
  Prob > F      =   0.0000
Sanderson-Windmeijer multivariate F test of excluded instruments:
  F(  1,   135) =   194.13
  Prob > F      =   0.0000



Summary results for first-stage regressions
-------------------------------------------

                                           (Underid)            (Weak id)
Variable     | F(  2,   135)  P-val | SW Chi-sq(  1) P-val | SW F(  1,   135)
demo_l1      |      12.98    0.0000 |       24.21   0.0000 |       23.75
sCapacity_l1 |      97.28    0.0000 |      197.89   0.0000 |      194.13

NB: first-stage test statistics cluster-robust

Stock-Yogo weak ID F test critical values for single endogenous regressor:
                                   10% maximal IV size             19.93
                                   15% maximal IV size             11.59
                                   20% maximal IV size              8.75
                                   25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for i.i.d. errors only.

Underidentification test
Ho: matrix of reduced form coefficients has rank=K1-1 (underidentified)
Ha: matrix has rank=K1 (identified)
Kleibergen-Paap rk LM statistic          Chi-sq(1)=18.43    P-val=0.0000

Weak identification test
Ho: equation is weakly identified
Cragg-Donald Wald F statistic                                     117.12
Kleibergen-Paap Wald rk F statistic                                11.78

Stock-Yogo weak ID test critical values for K1=2 and L1=2:
                                   10% maximal IV size              7.03
                                   15% maximal IV size              4.58
                                   20% maximal IV size              3.95
                                   25% maximal IV size              3.63
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.

Weak-instrument-robust inference
Tests of joint significance of endogenous regressors B1 in main equation
Ho: B1=0 and orthogonality conditions are valid
Anderson-Rubin Wald test           F(2,135)=       4.27     P-val=0.0160
Anderson-Rubin Wald test           Chi-sq(2)=      8.70     P-val=0.0129
Stock-Wright LM S statistic        Chi-sq(2)=     23.55     P-val=0.0000

NB: Underidentification, weak identification and weak-identification-robust
    test statistics cluster-robust

Number of clusters             N_clust  =        136
Number of observations               N  =       5024
Number of regressors                 K  =         60
Number of endogenous regressors      K1 =          2
Number of instruments                L  =         60
Number of excluded instruments       L1 =          2

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ccode

Number of clusters (ccode) =       136                Number of obs =     5024
                                                      F( 60,   135) =   433.33
                                                      Prob > F      =   0.0000
Total (centered) SS     =  936.5879556                Centered R2   =   0.8558
Total (uncentered) SS   =  936.5879556                Uncentered R2 =   0.8558
Residual SS             =  135.0317692                Root MSE      =    .1662

------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .1472156   .0559838     2.63   0.009     .0374893    .2569418
sCapacity_l1 |   .1076567   .0712609     1.51   0.131    -.0320121    .2473256
 Capacity_l1 |   .7522683   .0279765    26.89   0.000     .6974354    .8071012
 Capacity_l2 |   .0658284   .0212481     3.10   0.002     .0241828    .1074739
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |  -.0106272   .0778536    -0.14   0.891    -.1632175     .141963
         yr4 |   .0079854   .0781844     0.10   0.919    -.1452532     .161224
         yr5 |   -.013219   .0715404    -0.18   0.853    -.1534357    .1269977
         yr6 |  -.0049493   .0713691    -0.07   0.945    -.1448302    .1349315
         yr7 |  -.0257982   .0687754    -0.38   0.708    -.1605955     .108999
         yr8 |  -.0227859   .0660523    -0.34   0.730    -.1522459    .1066742
         yr9 |  -.0353591   .0657441    -0.54   0.591    -.1642151    .0934968
        yr10 |  -.0243902   .0662223    -0.37   0.713    -.1541835    .1054032
        yr11 |   .0130771    .063726     0.21   0.837    -.1118236    .1379777
        yr12 |   .0260296   .0610628     0.43   0.670    -.0936512    .1457104
        yr13 |   .0200433   .0544945     0.37   0.713    -.0867639    .1268506
        yr14 |   .0410897    .050668     0.81   0.417    -.0582179    .1403972
        yr15 |   .0460578   .0466612     0.99   0.324    -.0453964     .137512
        yr16 |   .0458712   .0470685     0.97   0.330    -.0463812    .1381237
        yr17 |   .0759012   .0432158     1.76   0.079    -.0088002    .1606026
        yr18 |   .0612897   .0396524     1.55   0.122    -.0164276     .139007
        yr19 |   .0498146   .0365823     1.36   0.173    -.0218855    .1215146
        yr20 |   .0232414   .0357906     0.65   0.516    -.0469069    .0933898
        yr21 |   .0637645   .0336952     1.89   0.058    -.0022769    .1298058
        yr22 |   .0488552   .0363723     1.34   0.179    -.0224333    .1201436
        yr23 |  -.0277687   .0336322    -0.83   0.409    -.0936866    .0381492
        yr24 |   .0138097   .0309141     0.45   0.655    -.0467809    .0744004
        yr25 |  -.0011802    .032542    -0.04   0.971    -.0649613    .0626009
        yr26 |  -.0368678   .0338366    -1.09   0.276    -.1031864    .0294508
        yr27 |   .0072254   .0303142     0.24   0.812    -.0521893    .0666401
        yr28 |  -.0076342   .0291521    -0.26   0.793    -.0647713    .0495028
        yr29 |   .0015024   .0255846     0.06   0.953    -.0486425    .0516474
        yr30 |  -.0088834   .0298329    -0.30   0.766    -.0673548    .0495881
        yr31 |   .0122069   .0316935     0.39   0.700    -.0499112    .0743251
        yr32 |  -.0590181   .0290236    -2.03   0.042    -.1159034   -.0021328
        yr33 |   .0082867   .0302506     0.27   0.784    -.0510033    .0675767
        yr34 |  -.0035505   .0289141    -0.12   0.902    -.0602211      .05312
        yr35 |   .0135228   .0266376     0.51   0.612    -.0386859    .0657315
        yr36 |   .0651974   .0247953     2.63   0.009     .0165995    .1137953
        yr37 |   .0197037   .0200007     0.99   0.325     -.019497    .0589043
        yr38 |   -.031956   .0223667    -1.43   0.153    -.0757939    .0118818
        yr39 |  -.0168638   .0216998    -0.78   0.437    -.0593947     .025667
        yr40 |  -.0620271   .0204121    -3.04   0.002     -.102034   -.0220201
        yr41 |   .0556096   .0240896     2.31   0.021     .0083948    .1028244
        yr42 |   -.029302   .0192467    -1.52   0.128    -.0670247    .0084208
        yr43 |  -.0325026   .0186624    -1.74   0.082    -.0690802     .004075
        yr44 |  -.0110806   .0199096    -0.56   0.578    -.0501026    .0279415
        yr45 |  -.0611843   .0239398    -2.56   0.011    -.1081054   -.0142632
        yr46 |  -.0136452   .0203371    -0.67   0.502    -.0535052    .0262148
        yr47 |          0  (omitted)
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |  -.0667729   .0406918    -1.64   0.101    -.1465274    .0129817
      elf_l1 |  -.1182543   .0437644    -2.70   0.007     -.204031   -.0324777
   logGDP_l1 |   .0984698   .0223276     4.41   0.000     .0547086    .1422311
     agri_l1 |   .0553611   .0926397     0.60   0.550    -.1262093    .2369316
 literacy_l1 |  -.0336679   .0572145    -0.59   0.556    -.1458062    .0784704
      min_l1 |  -.1898956   .1147324    -1.66   0.098     -.414767    .0349758
resources_l1 |   .0172795   .0061723     2.80   0.005     .0051821     .029377
  log_aid_l1 |  -.0007091   .0054345    -0.13   0.896    -.0113605    .0099423
  exports_l1 |   .0781815   .0316064     2.47   0.013     .0162341    .1401289
  rivalry_l1 |   .0038083   .0150607     0.25   0.800    -.0257101    .0333267
   threat_l1 |   .0448509   .0180251     2.49   0.013     .0095224    .0801794
      war_l1 |    .006663   .0096618     0.69   0.490    -.0122739    .0255998
------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             18.428
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):              117.116
                         (Kleibergen-Paap rk Wald F statistic):         11.782
Stock-Yogo weak ID test critical values: 10% maximal IV size              7.03
                                         15% maximal IV size              4.58
                                         20% maximal IV size              3.95
                                         25% maximal IV size              3.63
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         0.000
                                                 (equation exactly identified)
------------------------------------------------------------------------------
Instrumented:         demo_l1 sCapacity_l1
Included instruments: Capacity_l1 Capacity_l2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10
                      yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21
                      yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32
                      yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43
                      yr44 yr45 yr46 lnpop_l1 elf_l1 logGDP_l1 agri_l1
                      literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1
                      rivalry_l1 threat_l1 war_l1
Excluded instruments: L.demo_wave sCapacity_l2
Dropped collinear:    yr1 yr2 yr47 yr48 yr49 yr50
------------------------------------------------------------------------------

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 sCapacity_l1) nocons
output/out.xml
dir : seeout

. 
. 
. *** for plotting the first stage ***
. /*
> use Data_full, clear
> qui areg demo i.year, a(ccode)
> predict demo_res, res
> qui areg demo_wave i.year, a(ccode)
> predict demo_wave_res, res
> 
> keep ccode region year demo demo_res demo_wave demo_wave_res
> saveold fg_firststage, replace version(12)
> */
. 
. /* ****************** Appendix **************************** */
. 
. ***********************************************
. ** Table A5. The number of lagged terms 
. ***********************************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1"

. use Data_full, clear

. 
. reghdfe Capacity demo_l1 $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      5,135
Absorbing 2 HDFE groups                           F(  13,    137) =      11.45
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9204
                                                  Adj R-squared   =     0.9172
                                                  Within R-sq.    =     0.2930
Number of clusters (ccode)   =        138         Root MSE        =     0.2828

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0797861   .0382852     2.08   0.039     .0040797    .1554925
    lnpop_l1 |  -.1116975     .15988    -0.70   0.486    -.4278491    .2044541
      elf_l1 |  -.1987424   .1320607    -1.50   0.135    -.4598835    .0623986
   logGDP_l1 |   .5131231    .080731     6.36   0.000     .3534831    .6727631
     agri_l1 |  -.4663141   .2274827    -2.05   0.042    -.9161456   -.0164827
 literacy_l1 |  -.3531507   .2028651    -1.74   0.084    -.7543026    .0480011
      min_l1 |  -.9342777   .3427438    -2.73   0.007     -1.61203   -.2565254
resources_l1 |   .0684049   .0221166     3.09   0.002     .0246708    .1121391
  log_aid_l1 |  -.0148057   .0165776    -0.89   0.373    -.0475867    .0179754
  exports_l1 |   .1528202    .122156     1.25   0.213     -.088735    .3943753
  rivalry_l1 |   .0257257   .0432796     0.59   0.553    -.0598567     .111308
   threat_l1 |   .0829159   .0633259     1.31   0.193    -.0423067    .2081385
      war_l1 |  -.0372557   .0273079    -1.36   0.175    -.0912553    .0167438
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           44              45              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons 
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 Capacity_l1 $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      5,135
Absorbing 2 HDFE groups                           F(  14,    137) =     276.08
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9724
                                                  Adj R-squared   =     0.9713
                                                  Within R-sq.    =     0.7552
Number of clusters (ccode)   =        138         Root MSE        =     0.1664

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0216311   .0107638     2.01   0.046     .0003464    .0429158
 Capacity_l1 |   .8159882   .0171592    47.55   0.000     .7820571    .8499194
    lnpop_l1 |   -.068296   .0340395    -2.01   0.047    -.1356067   -.0009853
      elf_l1 |  -.0918469   .0336212    -2.73   0.007    -.1583305   -.0253633
   logGDP_l1 |   .0984237   .0194433     5.06   0.000      .059976    .1368714
     agri_l1 |  -.0138164   .0689308    -0.20   0.841    -.1501223    .1224895
 literacy_l1 |  -.0443826   .0568047    -0.78   0.436      -.15671    .0679449
      min_l1 |  -.2462375   .0937723    -2.63   0.010    -.4316657   -.0608092
resources_l1 |   .0167627   .0050725     3.30   0.001     .0067321    .0267934
  log_aid_l1 |   .0030301    .004017     0.75   0.452    -.0049133    .0109735
  exports_l1 |   .1007846   .0269497     3.74   0.000     .0474933    .1540759
  rivalry_l1 |  -.0121743   .0095232    -1.28   0.203    -.0310058    .0066571
   threat_l1 |   .0446345    .018813     2.37   0.019     .0074331    .0818358
      war_l1 |   .0031654   .0084876     0.37   0.710    -.0136182    .0199489
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           44              45              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 Capacity_l1 Capacity_l2 $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      5,114
Absorbing 2 HDFE groups                           F(  15,    137) =     338.01
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9726
                                                  Adj R-squared   =     0.9715
                                                  Within R-sq.    =     0.7559
Number of clusters (ccode)   =        138         Root MSE        =     0.1657

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0222851   .0107091     2.08   0.039     .0011086    .0434615
 Capacity_l1 |   .7513159   .0299908    25.05   0.000      .692011    .8106207
 Capacity_l2 |       .077   .0236518     3.26   0.001     .0302303    .1237697
    lnpop_l1 |   -.080548   .0380579    -2.12   0.036    -.1558049   -.0052912
      elf_l1 |   -.093408   .0325561    -2.87   0.005    -.1577855   -.0290305
   logGDP_l1 |   .0931406   .0193257     4.82   0.000     .0549253    .1313558
     agri_l1 |  -.0012851   .0687673    -0.02   0.985    -.1372677    .1346975
 literacy_l1 |  -.0390079   .0576397    -0.68   0.500    -.1529865    .0749707
      min_l1 |  -.2336232   .0958825    -2.44   0.016    -.4232243   -.0440221
resources_l1 |   .0162056   .0051924     3.12   0.002     .0059379    .0264733
  log_aid_l1 |   .0042119   .0041086     1.03   0.307    -.0039127    .0123364
  exports_l1 |    .101604   .0270946     3.75   0.000     .0480263    .1551817
  rivalry_l1 |   -.015318    .009558    -1.60   0.111    -.0342183    .0035822
   threat_l1 |   .0469925   .0189513     2.48   0.014     .0095177    .0844674
      war_l1 |   .0034923   .0086647     0.40   0.688    -.0136415    .0206261
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           44              45              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 Capacity_l1 Capacity_l2 Capacity_l3 $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,999
Absorbing 2 HDFE groups                           F(  16,    137) =     330.57
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9724
                                                  Adj R-squared   =     0.9712
                                                  Within R-sq.    =     0.7534
Number of clusters (ccode)   =        138         Root MSE        =     0.1664

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0221758    .010949     2.03   0.045     .0005249    .0438267
 Capacity_l1 |   .7545374   .0321944    23.44   0.000     .6908752    .8181995
 Capacity_l2 |   .0811455    .029686     2.73   0.007     .0224434    .1398475
 Capacity_l3 |  -.0089785   .0192297    -0.47   0.641     -.047004    .0290469
    lnpop_l1 |  -.0660117   .0358122    -1.84   0.067    -.1368279    .0048044
      elf_l1 |  -.1026272   .0324994    -3.16   0.002    -.1668926   -.0383619
   logGDP_l1 |   .0942762   .0191387     4.93   0.000     .0564307    .1321216
     agri_l1 |   .0049156   .0709938     0.07   0.945    -.1354697    .1453009
 literacy_l1 |   -.058667   .0576302    -1.02   0.310    -.1726267    .0552927
      min_l1 |  -.2467832    .093118    -2.65   0.009    -.4309177   -.0626488
resources_l1 |   .0175966   .0052049     3.38   0.001     .0073043    .0278888
  log_aid_l1 |   .0035679   .0041248     0.86   0.389    -.0045887    .0117245
  exports_l1 |   .0966443   .0272031     3.55   0.001      .042852    .1504366
  rivalry_l1 |  -.0153263   .0097609    -1.57   0.119    -.0346278    .0039752
   threat_l1 |   .0489023   .0195675     2.50   0.014     .0102089    .0875957
      war_l1 |   .0042164     .00879     0.48   0.632    -.0131651     .021598
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           43              44              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 Capacity_l1 Capacity_l2 Capacity_l3 Capacity_l4 $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,879
Absorbing 2 HDFE groups                           F(  17,    137) =     371.45
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9725
                                                  Adj R-squared   =     0.9714
                                                  Within R-sq.    =     0.7523
Number of clusters (ccode)   =        138         Root MSE        =     0.1660

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0224539   .0111381     2.02   0.046      .000429    .0444788
 Capacity_l1 |   .7556211   .0327911    23.04   0.000      .690779    .8204632
 Capacity_l2 |   .0795049   .0314067     2.53   0.012     .0174004    .1416094
 Capacity_l3 |  -.0211654   .0229032    -0.92   0.357    -.0664548     .024124
 Capacity_l4 |   .0166013   .0210276     0.79   0.431    -.0249794    .0581819
    lnpop_l1 |  -.0538638   .0365674    -1.47   0.143    -.1261733    .0184456
      elf_l1 |  -.1043918     .03383    -3.09   0.002    -.1712883   -.0374954
   logGDP_l1 |     .09183   .0193472     4.75   0.000     .0535723    .1300876
     agri_l1 |    .017712   .0739311     0.24   0.811    -.1284816    .1639057
 literacy_l1 |  -.0576958   .0593835    -0.97   0.333    -.1751226    .0597311
      min_l1 |  -.2324438    .094829    -2.45   0.015    -.4199617   -.0449259
resources_l1 |   .0172426   .0053163     3.24   0.001     .0067299    .0277553
  log_aid_l1 |   .0045216   .0041956     1.08   0.283    -.0037748    .0128181
  exports_l1 |   .0966821   .0275685     3.51   0.001     .0421673    .1511969
  rivalry_l1 |  -.0151609   .0100165    -1.51   0.132    -.0349678    .0046461
   threat_l1 |    .054663   .0197925     2.76   0.007     .0155247    .0938014
      war_l1 |   .0064951   .0086776     0.75   0.455    -.0106642    .0236544
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           42              43              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. **************************************************
. ** Table A6 Alternative democracy measure 
. **************************************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. global lags = "Capacity_l1 Capacity_l2"

. global covar = "demoyrs demo_demoyrs lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1"

. 
. use Data_full, clear

. drop if year ==0 | year == 2010
(0 observations deleted)

. 
. bysort ccode (year): g polity_cleaned_l1 = polity_cleaned[_n-1]
(478 missing values generated)

. sum polity_cleaned_l1

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
polity_cle~1 |      6,708    .9622838    4.939042         -6          7

. replace polity_cleaned_l1 = (polity_cleaned_l1 - `r(mean)')/`r(sd)'
(6,708 real changes made)

. g polity_cleaned_l1_sq = polity_cleaned_l1^2
(478 missing values generated)

. g polity2_l1_sq = polity2_l1^2
(174 missing values generated)

. 
. ** generate democracy duration
. ** for binary democracy indicator
. bysort ccode (year): g demo_start = 1960 if demo_polity ==1 & year == 1960
(7,152 missing values generated)

. bysort ccode (year): replace demo_start = year if demo_polity ==1 & demo_polity[_n-1]==0
(85 real changes made)

. bysort ccode (year): replace demo_start = demo_start[_n-1] if demo_polity ==1 & demo_start[_n-1]!=.
(2176 real changes made)

. g demoyrs1 = 0

. replace demoyrs1 = year - demo_start if demo_start!=.
(2,176 real changes made)

. ** for polity_cleaned
. drop demo_start

. g demo_tmp = polity_cleaned>=5

. bysort ccode (year): g demo_start = 1960 if demo_tmp ==1 & year == 1960
(7,146 missing values generated)

. bysort ccode (year): replace demo_start = year if demo_tmp ==1 & demo_tmp[_n-1]==0
(131 real changes made)

. bysort ccode (year): replace demo_start = demo_start[_n-1] if demo_tmp ==1 & demo_start[_n-1]!=.
(2489 real changes made)

. g demoyrs2 = 0

. replace demoyrs2 = year - demo_start if demo_start!=.
(2,489 real changes made)

. 
. ** Democracy measured by Polity>6
. g demoyrs = demoyrs1

. g demo_demoyrs = demo_polity_l1 * demoyrs
(174 missing values generated)

. 
. reghdfe Capacity demo_polity_l1 $lags, a(ccode year) cl(ccode) 
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      6,838
Absorbing 2 HDFE groups                           F(   3,    173) =    1998.92
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9664
                                                  Adj R-squared   =     0.9653
                                                  Within R-sq.    =     0.7631
Number of clusters (ccode)   =        174         Root MSE        =     0.1853

                                  (Std. Err. adjusted for 174 clusters in ccode)
--------------------------------------------------------------------------------
               |               Robust
      Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
demo_polity_l1 |   .0169766   .0105001     1.62   0.108    -.0037481    .0377014
   Capacity_l1 |   .7795559   .0287644    27.10   0.000     .7227816    .8363302
   Capacity_l2 |   .1129364   .0255071     4.43   0.000     .0625911    .1632816
--------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------------------+
   Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
---------------+-------------------------------------------------|
         ccode |            0             174            174 *   | 
          year |           47              48              1     | 
-----------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_polity_l1) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  174
Number of records is  6838

. 
. reghdfe Capacity demo_polity_l1 $lags $covar, a(ccode year) cl(ccode) 
(converged in 7 iterations)
note: demo_demoyrs omitted because of collinearity

HDFE Linear regression                            Number of obs   =      5,114
Absorbing 2 HDFE groups                           F(  16,    137) =     321.60
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9727
                                                  Adj R-squared   =     0.9716
                                                  Within R-sq.    =     0.7562
Number of clusters (ccode)   =        138         Root MSE        =     0.1656

                                  (Std. Err. adjusted for 138 clusters in ccode)
--------------------------------------------------------------------------------
               |               Robust
      Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
demo_polity_l1 |    .019848   .0098237     2.02   0.045     .0004223    .0392737
   Capacity_l1 |   .7488033   .0300052    24.96   0.000     .6894701    .8081365
   Capacity_l2 |    .075188   .0239919     3.13   0.002     .0277457    .1226303
       demoyrs |   .0014272   .0008679     1.64   0.102     -.000289    .0031433
  demo_demoyrs |          0  (omitted)
      lnpop_l1 |  -.0597608   .0404052    -1.48   0.141    -.1396592    .0201377
        elf_l1 |  -.0884876   .0310416    -2.85   0.005    -.1498703   -.0271049
     logGDP_l1 |   .0949743    .019239     4.94   0.000     .0569305    .1330181
       agri_l1 |  -.0145772   .0698677    -0.21   0.835    -.1527357    .1235813
   literacy_l1 |  -.0057745   .0645938    -0.09   0.929    -.1335042    .1219552
        min_l1 |  -.2300144   .1002233    -2.30   0.023     -.428199   -.0318298
  resources_l1 |   .0158188   .0052632     3.01   0.003     .0054111    .0262264
    log_aid_l1 |   .0061489   .0044114     1.39   0.166    -.0025743     .014872
    exports_l1 |   .0960721   .0271358     3.54   0.001     .0424128    .1497313
    rivalry_l1 |   -.014068   .0095778    -1.47   0.144    -.0330073    .0048714
     threat_l1 |   .0447669   .0187274     2.39   0.018     .0077348     .081799
        war_l1 |   .0038246   .0087292     0.44   0.662    -.0134367    .0210859
--------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------------------+
   Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
---------------+-------------------------------------------------|
         ccode |            0             138            138 *   | 
          year |           44              45              1     | 
-----------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_polity_l1 $covar) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  5114

. 
. * Democracy measured by Polity 
. drop demo_demoyrs

. g demo_demoyrs = polity2_l1 * demoyrs
(174 missing values generated)

. reghdfe Capacity polity2_l1 polity2_l1_sq $lags, a(ccode year) cl(ccode) 
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      6,838
Absorbing 2 HDFE groups                           F(   4,    173) =    1931.24
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9665
                                                  Adj R-squared   =     0.9653
                                                  Within R-sq.    =     0.7633
Number of clusters (ccode)   =        174         Root MSE        =     0.1852

                                 (Std. Err. adjusted for 174 clusters in ccode)
-------------------------------------------------------------------------------
              |               Robust
     Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
   polity2_l1 |   .0182085   .0077625     2.35   0.020      .002887    .0335299
polity2_l1_sq |   .0124639   .0173655     0.72   0.474    -.0218116    .0467393
  Capacity_l1 |   .7791853   .0294019    26.50   0.000     .7211527    .8372179
  Capacity_l2 |   .1137351   .0253427     4.49   0.000     .0637144    .1637557
-------------------------------------------------------------------------------

Absorbed degrees of freedom:
----------------------------------------------------------------+
  Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
--------------+-------------------------------------------------|
        ccode |            0             174            174 *   | 
         year |           47              48              1     | 
----------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(polity2_l1*) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  174
Number of records is  6838

. 
. reghdfe Capacity polity2_l1 polity2_l1_sq $lags $covar, a(ccode year) cl(ccode) 
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      5,114
Absorbing 2 HDFE groups                           F(  18,    137) =     303.88
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9727
                                                  Adj R-squared   =     0.9716
                                                  Within R-sq.    =     0.7566
Number of clusters (ccode)   =        138         Root MSE        =     0.1655

                                 (Std. Err. adjusted for 138 clusters in ccode)
-------------------------------------------------------------------------------
              |               Robust
     Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
   polity2_l1 |   .0210544   .0073529     2.86   0.005     .0065145    .0355944
polity2_l1_sq |   .0080125   .0184429     0.43   0.665     -.028457    .0444819
  Capacity_l1 |    .749424   .0308688    24.28   0.000     .6883831    .8104648
  Capacity_l2 |   .0767261   .0239964     3.20   0.002     .0292748    .1241774
      demoyrs |   .0035716   .0028429     1.26   0.211    -.0020501    .0091933
 demo_demoyrs |  -.0022983   .0031856    -0.72   0.472    -.0085976     .004001
     lnpop_l1 |   -.060472   .0417216    -1.45   0.150    -.1429735    .0220295
       elf_l1 |  -.0932951   .0305874    -3.05   0.003    -.1537796   -.0328107
    logGDP_l1 |   .0955519   .0189884     5.03   0.000     .0580037    .1331001
      agri_l1 |  -.0093344   .0703164    -0.13   0.895    -.1483803    .1297114
  literacy_l1 |  -.0083931   .0645791    -0.13   0.897    -.1360937    .1193076
       min_l1 |  -.2267817   .0976758    -2.32   0.022    -.4199289   -.0336346
 resources_l1 |   .0155368   .0051934     2.99   0.003     .0052672    .0258063
   log_aid_l1 |   .0055218   .0045104     1.22   0.223    -.0033971    .0144407
   exports_l1 |   .0953018   .0272398     3.50   0.001     .0414369    .1491666
   rivalry_l1 |  -.0130654    .009559    -1.37   0.174    -.0319677    .0058369
    threat_l1 |   .0444424   .0185855     2.39   0.018     .0076909     .081194
       war_l1 |   .0036831   .0086051     0.43   0.669    -.0133329     .020699
-------------------------------------------------------------------------------

Absorbed degrees of freedom:
----------------------------------------------------------------+
  Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
--------------+-------------------------------------------------|
        ccode |            0             138            138 *   | 
         year |           44              45              1     | 
----------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(polity2_l1* $covar) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  5114

. 
. * Democracy measured by Polity (cleaned measure)
. replace demoyrs = demoyrs2
(803 real changes made)

. drop demo_demoyrs

. g demo_demoyrs = polity_cleaned_l1 * demoyrs
(478 missing values generated)

. 
. reghdfe Capacity polity_cleaned_l1 $lags, a(ccode year) cl(ccode) 
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      6,542
Absorbing 2 HDFE groups                           F(   3,    172) =    2199.43
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9681
                                                  Adj R-squared   =     0.9670
                                                  Within R-sq.    =     0.7414
Number of clusters (ccode)   =        173         Root MSE        =     0.1765

                                     (Std. Err. adjusted for 173 clusters in ccode)
-----------------------------------------------------------------------------------
                  |               Robust
         Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
polity_cleaned_l1 |   .0148425   .0053437     2.78   0.006      .004295    .0253901
      Capacity_l1 |   .7765497    .028776    26.99   0.000     .7197503    .8333492
      Capacity_l2 |   .1182604   .0261021     4.53   0.000     .0667388     .169782
-----------------------------------------------------------------------------------

Absorbed degrees of freedom:
--------------------------------------------------------------------+
      Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
------------------+-------------------------------------------------|
            ccode |            0             173            173 *   | 
             year |           47              48              1     | 
--------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(polity_cleaned_l1*) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  173
Number of records is  6542

. 
. reghdfe Capacity polity_cleaned_l1 $lags $covar, a(ccode year) cl(ccode) 
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,905
Absorbing 2 HDFE groups                           F(  17,    137) =     379.09
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9750
                                                  Adj R-squared   =     0.9740
                                                  Within R-sq.    =     0.7390
Number of clusters (ccode)   =        138         Root MSE        =     0.1552

                                     (Std. Err. adjusted for 138 clusters in ccode)
-----------------------------------------------------------------------------------
                  |               Robust
         Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
polity_cleaned_l1 |   .0151487   .0050651     2.99   0.003     .0051328    .0251646
      Capacity_l1 |   .7521946   .0271569    27.70   0.000     .6984937    .8058955
      Capacity_l2 |   .0754427   .0215199     3.51   0.001     .0328886    .1179969
          demoyrs |   .0036507   .0023902     1.53   0.129    -.0010758    .0083771
     demo_demoyrs |  -.0016518   .0020318    -0.81   0.418    -.0056695    .0023658
         lnpop_l1 |  -.0440417   .0410986    -1.07   0.286    -.1253113    .0372279
           elf_l1 |  -.0621126   .0338745    -1.83   0.069     -.129097    .0048719
        logGDP_l1 |   .0888151   .0178241     4.98   0.000     .0535691    .1240611
          agri_l1 |  -.0338074   .0682216    -0.50   0.621     -.168711    .1010962
      literacy_l1 |  -.0216524   .0595039    -0.36   0.717    -.1393172    .0960123
           min_l1 |  -.2108171   .0701498    -3.01   0.003    -.3495336   -.0721007
     resources_l1 |   .0167577   .0049264     3.40   0.001     .0070162    .0264992
       log_aid_l1 |    .005538   .0044078     1.26   0.211    -.0031781    .0142542
       exports_l1 |    .098712   .0264855     3.73   0.000     .0463388    .1510853
       rivalry_l1 |  -.0147456   .0105199    -1.40   0.163    -.0355479    .0060566
        threat_l1 |   .0348798   .0166121     2.10   0.038     .0020305    .0677291
           war_l1 |   .0067899   .0085956     0.79   0.431    -.0102073    .0237872
-----------------------------------------------------------------------------------

Absorbed degrees of freedom:
--------------------------------------------------------------------+
      Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
------------------+-------------------------------------------------|
            ccode |            0             138            138 *   | 
             year |           44              45              1     | 
--------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(polity_cleaned_l1* $covar) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  4905

. 
. reghdfe Capacity polity_cleaned_l1 polity_cleaned_l1_sq $lags, a(ccode year) cl(ccode) 
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      6,542
Absorbing 2 HDFE groups                           F(   4,    172) =    1784.24
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9681
                                                  Adj R-squared   =     0.9670
                                                  Within R-sq.    =     0.7415
Number of clusters (ccode)   =        173         Root MSE        =     0.1765

                                        (Std. Err. adjusted for 173 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
            Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
   polity_cleaned_l1 |   .0143409   .0054825     2.62   0.010     .0035193    .0251624
polity_cleaned_l1_sq |   .0067999   .0104807     0.65   0.517    -.0138873    .0274872
         Capacity_l1 |   .7755659   .0292388    26.53   0.000     .7178528    .8332789
         Capacity_l2 |   .1175122   .0259256     4.53   0.000     .0663388    .1686856
--------------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------------------------+
         Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
---------------------+-------------------------------------------------|
               ccode |            0             173            173 *   | 
                year |           47              48              1     | 
-----------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(polity_cleaned_l1*) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  173
Number of records is  6542

. 
. reghdfe Capacity polity_cleaned_l1 polity_cleaned_l1_sq $lags $covar, a(ccode year) cl(ccode) 
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,905
Absorbing 2 HDFE groups                           F(  18,    137) =     352.02
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9750
                                                  Adj R-squared   =     0.9740
                                                  Within R-sq.    =     0.7391
Number of clusters (ccode)   =        138         Root MSE        =     0.1551

                                        (Std. Err. adjusted for 138 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
            Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
   polity_cleaned_l1 |    .014492   .0051171     2.83   0.005     .0043733    .0246106
polity_cleaned_l1_sq |   .0098573   .0104735     0.94   0.348    -.0108533    .0305679
         Capacity_l1 |   .7500993   .0275222    27.25   0.000     .6956761    .8045226
         Capacity_l2 |   .0742122   .0214266     3.46   0.001     .0318425    .1165818
             demoyrs |   .0039074   .0024618     1.59   0.115    -.0009606    .0087755
        demo_demoyrs |  -.0019622   .0021139    -0.93   0.355    -.0061423    .0022178
            lnpop_l1 |  -.0444828   .0410353    -1.08   0.280    -.1256274    .0366618
              elf_l1 |  -.0595892   .0346987    -1.72   0.088    -.1282034    .0090251
           logGDP_l1 |   .0901212   .0183407     4.91   0.000     .0538538    .1263887
             agri_l1 |  -.0346034   .0680819    -0.51   0.612    -.1692307    .1000239
         literacy_l1 |  -.0215306   .0593003    -0.36   0.717    -.1387929    .0957317
              min_l1 |  -.2096604   .0711732    -2.95   0.004    -.3504004   -.0689204
        resources_l1 |   .0166989   .0049983     3.34   0.001      .006815    .0265827
          log_aid_l1 |    .005481   .0044575     1.23   0.221    -.0033334    .0142954
          exports_l1 |   .0966475   .0267146     3.62   0.000     .0438213    .1494737
          rivalry_l1 |  -.0146173    .010514    -1.39   0.167     -.035408    .0061735
           threat_l1 |   .0347757   .0168379     2.07   0.041     .0014799    .0680715
              war_l1 |   .0071464   .0085999     0.83   0.407    -.0098593    .0241521
--------------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------------------------+
         Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
---------------------+-------------------------------------------------|
               ccode |            0             138            138 *   | 
                year |           44              45              1     | 
-----------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(polity_cleaned_l1* $covar) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  4905

. 
. 
. ********************
. ** Table A7. GMM
. ********************
. 
. global lags = "Capacity_l1 Capacity_l2"

. global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1"

. 
. * ssc install xtabond2
. use Data_full, clear

. sort ccode year

. xtset ccode year
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit

. qui tab year, g(yr)

. qui tab ccode, g(ccode)

. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. * using lagged terms
. xtabond2 Capacity L.demo L.Capacity L2.Capacity yr1-yr50 $covar, gmm(L.Capacity, lag(2 4) eq(both)) iv(yr1-yr50 $covar, eq(level)) 
Favoring space over speed. To switch, type or click on mata: mata set matafavor speed, perm.
Warning: Number of instruments may be large relative to number of observations.

Dynamic panel-data estimation, one-step system GMM
------------------------------------------------------------------------------
Group variable: ccode                           Number of obs      =      5114
Time variable : year                            Number of groups   =       138
Number of instruments = 230                     Obs per group: min =         4
Wald chi2(65) = 138906.67                                      avg =     37.06
Prob > chi2   =     0.000                                      max =        45
------------------------------------------------------------------------------
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .0856682   .0359547     2.38   0.017     .0151984     .156138
             |
    Capacity |
         L1. |   .8602091   .0401732    21.41   0.000     .7814711    .9389471
         L2. |   .0307737   .0355279     0.87   0.386    -.0388597    .1004071
             |
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |          0  (omitted)
         yr4 |   .0117006   .0262791     0.45   0.656    -.0398054    .0632066
         yr5 |  -.0095408   .0261619    -0.36   0.715    -.0608173    .0417356
         yr6 |   .0083603   .0261731     0.32   0.749     -.042938    .0596586
         yr7 |  -.0149892   .0260506    -0.58   0.565    -.0660474     .036069
         yr8 |  -.0142069    .026199    -0.54   0.588    -.0655561    .0371422
         yr9 |  -.0286821    .026188    -1.10   0.273    -.0800097    .0226456
        yr10 |   -.019036   .0264088    -0.72   0.471    -.0707963    .0327243
        yr11 |   .0178481   .0265053     0.67   0.501    -.0341012    .0697974
        yr12 |   .0282413   .0265241     1.06   0.287    -.0237449    .0802276
        yr13 |   .0278576    .026505     1.05   0.293    -.0240913    .0798065
        yr14 |   .0557126   .0269822     2.06   0.039     .0028285    .1085968
        yr15 |   .0654962   .0271411     2.41   0.016     .0123006    .1186918
        yr16 |   .0631506   .0272709     2.32   0.021     .0097006    .1166006
        yr17 |   .0875617   .0277729     3.15   0.002     .0331277    .1419956
        yr18 |    .072239   .0284434     2.54   0.011      .016491     .127987
        yr19 |   .0616639   .0290911     2.12   0.034     .0046464    .1186813
        yr20 |   .0389426    .029507     1.32   0.187    -.0188901    .0967752
        yr21 |    .087637   .0291434     3.01   0.003     .0305171     .144757
        yr22 |   .0677943   .0295762     2.29   0.022      .009826    .1257626
        yr23 |  -.0107215    .030238    -0.35   0.723    -.0699869     .048544
        yr24 |    .027978    .030246     0.93   0.355     -.031303    .0872591
        yr25 |   .0071014   .0299428     0.24   0.813    -.0515855    .0657883
        yr26 |  -.0212475   .0296935    -0.72   0.474    -.0794458    .0369508
        yr27 |   .0224524   .0295749     0.76   0.448    -.0355133    .0804182
        yr28 |   .0021716   .0293619     0.07   0.941    -.0553766    .0597199
        yr29 |    .013213    .029259     0.45   0.652    -.0441336    .0705596
        yr30 |   .0035219   .0289659     0.12   0.903    -.0532503    .0602941
        yr31 |   .0175442   .0289269     0.61   0.544    -.0391515      .07424
        yr32 |  -.0608739   .0289396    -2.10   0.035    -.1175945   -.0041532
        yr33 |   -.005816   .0286128    -0.20   0.839    -.0618961    .0502641
        yr34 |  -.0147749   .0273928    -0.54   0.590    -.0684638     .038914
        yr35 |   .0118794   .0270795     0.44   0.661    -.0411955    .0649543
        yr36 |   .0650834   .0270077     2.41   0.016     .0121493    .1180175
        yr37 |   .0165386   .0273743     0.60   0.546    -.0371141    .0701913
        yr38 |  -.0358177   .0275352    -1.30   0.193    -.0897858    .0181503
        yr39 |  -.0183756   .0272754    -0.67   0.500    -.0718344    .0350832
        yr40 |  -.0666633   .0272314    -2.45   0.014    -.1200358   -.0132908
        yr41 |   .0516698   .0270881     1.91   0.056    -.0014219    .1047615
        yr42 |   -.033766   .0267514    -1.26   0.207    -.0861978    .0186659
        yr43 |  -.0324888   .0268483    -1.21   0.226    -.0851105     .020133
        yr44 |  -.0174767   .0266284    -0.66   0.512    -.0696674     .034714
        yr45 |  -.0622869   .0264711    -2.35   0.019    -.1141692   -.0104045
        yr46 |  -.0174699   .0264303    -0.66   0.509    -.0692723    .0343324
        yr47 |  -.0028082   .0260676    -0.11   0.914    -.0538998    .0482834
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |    .002132   .0024883     0.86   0.392     -.002745     .007009
      elf_l1 |  -.0060268    .008761    -0.69   0.492     -.023198    .0111444
   logGDP_l1 |   .0592829    .012015     4.93   0.000      .035734    .0828318
     agri_l1 |  -.0450767   .0308423    -1.46   0.144    -.1055265    .0153731
 literacy_l1 |  -.0073826   .0171718    -0.43   0.667    -.0410386    .0262735
      min_l1 |  -.0637347   .0409743    -1.56   0.120    -.1440428    .0165734
resources_l1 |   .0084684   .0025882     3.27   0.001     .0033957    .0135411
  log_aid_l1 |   .0006715   .0025449     0.26   0.792    -.0043163    .0056594
  exports_l1 |   .0472849   .0183761     2.57   0.010     .0112684    .0833013
  rivalry_l1 |  -.0002805   .0071015    -0.04   0.968    -.0141991    .0136381
   threat_l1 |   .0426113   .0175283     2.43   0.015     .0082564    .0769661
      war_l1 |   .0072367   .0061818     1.17   0.242    -.0048793    .0193528
       _cons |  -.4894004   .1061297    -4.61   0.000    -.6974108     -.28139
------------------------------------------------------------------------------
Instruments for first differences equation
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    L(2/4).L.Capacity
Instruments for levels equation
  Standard
    yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16
    yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31
    yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43 yr44 yr45 yr46
    yr47 yr48 yr49 yr50 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1
    resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1
    _cons
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    DL.L.Capacity
------------------------------------------------------------------------------
Arellano-Bond test for AR(1) in first differences: z = -13.42  Pr > z =  0.000
Arellano-Bond test for AR(2) in first differences: z =   1.97  Pr > z =  0.048
------------------------------------------------------------------------------
Sargan test of overid. restrictions: chi2(164)  = 372.28  Prob > chi2 =  0.000
  (Not robust, but not weakened by many instruments.)

Difference-in-Sargan tests of exogeneity of instrument subsets:
  GMM instruments for levels
    Sargan test excluding group:     chi2(120)  = 215.72  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(44)   = 156.56  Prob > chi2 =  0.000
  iv(yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr
> 43 yr44 yr45 yr46 yr47 yr48 yr49 yr50 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1, eq(level))
    Sargan test excluding group:     chi2(107)  = 231.09  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(57)   = 141.18  Prob > chi2 =  0.000


. outreg2 using output/out.xml, excel dec(3) keep(L.demo L.Capacity L2.Capacity  $covar) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  5114

. 
. xtabond2 Capacity L.demo L.Capacity L2.Capacity yr1-yr50 $covar, gmm(L.Capacity, lag(2 5) eq(both)) iv(yr1-yr50 $covar, eq(level)) 
Favoring space over speed. To switch, type or click on mata: mata set matafavor speed, perm.
Warning: Number of instruments may be large relative to number of observations.

Dynamic panel-data estimation, one-step system GMM
------------------------------------------------------------------------------
Group variable: ccode                           Number of obs      =      5114
Time variable : year                            Number of groups   =       138
Number of instruments = 271                     Obs per group: min =         4
Wald chi2(65) = 142266.76                                      avg =     37.06
Prob > chi2   =     0.000                                      max =        45
------------------------------------------------------------------------------
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .0911661   .0320181     2.85   0.004     .0284119    .1539204
             |
    Capacity |
         L1. |   .8406511   .0370885    22.67   0.000      .767959    .9133433
         L2. |   .0483026   .0332502     1.45   0.146    -.0168665    .1134718
             |
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |   -.493132   .0997188    -4.95   0.000    -.6885774   -.2976867
         yr4 |  -.4816423   .0994656    -4.84   0.000    -.6765912   -.2866933
         yr5 |  -.5023925   .0990817    -5.07   0.000    -.6965891   -.3081958
         yr6 |  -.4848724   .0991943    -4.89   0.000    -.6792897   -.2904552
         yr7 |  -.5077769   .0985146    -5.15   0.000     -.700862   -.3146918
         yr8 |  -.5075569   .0986034    -5.15   0.000     -.700816   -.3142977
         yr9 |  -.5219135    .098602    -5.29   0.000    -.7151698   -.3286572
        yr10 |   -.512424   .0989157    -5.18   0.000    -.7062952   -.3185528
        yr11 |  -.4753078   .0994005    -4.78   0.000    -.6701292   -.2804864
        yr12 |  -.4639701   .0985862    -4.71   0.000    -.6571954   -.2707447
        yr13 |  -.4644628   .0981359    -4.73   0.000    -.6568055     -.27212
        yr14 |  -.4362134   .0981583    -4.44   0.000    -.6286001   -.2438267
        yr15 |    -.42613   .0975339    -4.37   0.000    -.6172929   -.2349672
        yr16 |  -.4283256    .096609    -4.43   0.000    -.6176757   -.2389755
        yr17 |  -.4038984   .0959521    -4.21   0.000     -.591961   -.2158358
        yr18 |  -.4186193   .0955561    -4.38   0.000    -.6059058   -.2313327
        yr19 |  -.4294505   .0953947    -4.50   0.000    -.6164208   -.2424803
        yr20 |    -.45231   .0951967    -4.75   0.000    -.6388921   -.2657279
        yr21 |  -.4043664   .0946685    -4.27   0.000    -.5899132   -.2188195
        yr22 |  -.4231275   .0940409    -4.50   0.000    -.6074442   -.2388108
        yr23 |  -.5019119   .0937536    -5.35   0.000    -.6856657   -.3181582
        yr24 |  -.4647573   .0943155    -4.93   0.000    -.6496123   -.2799024
        yr25 |  -.4848995   .0938656    -5.17   0.000    -.6688728   -.3009263
        yr26 |  -.5137795   .0939869    -5.47   0.000    -.6979904   -.3295687
        yr27 |  -.4705453   .0945347    -4.98   0.000      -.65583   -.2852606
        yr28 |  -.4900425   .0942094    -5.20   0.000    -.6746895   -.3053954
        yr29 |  -.4794085     .09466    -5.06   0.000    -.6649387   -.2938783
        yr30 |  -.4888609   .0941385    -5.19   0.000    -.6733689   -.3043529
        yr31 |  -.4751038   .0942266    -5.04   0.000    -.6597846    -.290423
        yr32 |  -.5532964   .0939328    -5.89   0.000    -.7374014   -.3691914
        yr33 |  -.4997264   .0946067    -5.28   0.000    -.6851522   -.3143006
        yr34 |  -.5069381   .0945352    -5.36   0.000    -.6922236   -.3216526
        yr35 |   -.481661   .0948722    -5.08   0.000    -.6676071    -.295715
        yr36 |  -.4278224   .0944825    -4.53   0.000    -.6130047   -.2426401
        yr37 |  -.4752392   .0939843    -5.06   0.000     -.659445   -.2910334
        yr38 |  -.5284566   .0941837    -5.61   0.000    -.7130533   -.3438599
        yr39 |  -.5120421   .0947502    -5.40   0.000    -.6977491    -.326335
        yr40 |  -.5597557    .095148    -5.88   0.000    -.7462424   -.3732691
        yr41 |  -.4424891   .0959691    -4.61   0.000     -.630585   -.2543932
        yr42 |  -.5257467   .0949514    -5.54   0.000     -.711848   -.3396453
        yr43 |  -.5261137   .0955931    -5.50   0.000    -.7134727   -.3387547
        yr44 |  -.5109939   .0958056    -5.33   0.000    -.6987695   -.3232184
        yr45 |  -.5556333   .0958717    -5.80   0.000    -.7435384   -.3677282
        yr46 |  -.5117237   .0968414    -5.28   0.000    -.7015295    -.321918
        yr47 |  -.4962593   .0966756    -5.13   0.000    -.6857399   -.3067786
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |    .002087   .0024533     0.85   0.395    -.0027214    .0068953
      elf_l1 |  -.0061479   .0086476    -0.71   0.477    -.0230969    .0108011
   logGDP_l1 |   .0596147   .0111425     5.35   0.000     .0377757    .0814537
     agri_l1 |   -.045236    .030181    -1.50   0.134    -.1043896    .0139176
 literacy_l1 |  -.0087356   .0165413    -0.53   0.597     -.041156    .0236849
      min_l1 |  -.0621296    .039401    -1.58   0.115    -.1393541    .0150949
resources_l1 |   .0086881   .0025133     3.46   0.001     .0037621    .0136141
  log_aid_l1 |   .0006146   .0025037     0.25   0.806    -.0042926    .0055217
  exports_l1 |   .0487015   .0179859     2.71   0.007     .0134498    .0839532
  rivalry_l1 |    .000307    .006761     0.05   0.964    -.0129443    .0135583
   threat_l1 |   .0425782   .0172984     2.46   0.014      .008674    .0764823
      war_l1 |   .0072275   .0061157     1.18   0.237    -.0047591    .0192141
       _cons |          0  (omitted)
------------------------------------------------------------------------------
Instruments for first differences equation
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    L(2/5).L.Capacity
Instruments for levels equation
  Standard
    yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16
    yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31
    yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43 yr44 yr45 yr46
    yr47 yr48 yr49 yr50 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1
    resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1
    _cons
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    DL.L.Capacity
------------------------------------------------------------------------------
Arellano-Bond test for AR(1) in first differences: z = -14.14  Pr > z =  0.000
Arellano-Bond test for AR(2) in first differences: z =   1.58  Pr > z =  0.114
------------------------------------------------------------------------------
Sargan test of overid. restrictions: chi2(205)  = 448.85  Prob > chi2 =  0.000
  (Not robust, but not weakened by many instruments.)

Difference-in-Sargan tests of exogeneity of instrument subsets:
  GMM instruments for levels
    Sargan test excluding group:     chi2(161)  = 284.04  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(44)   = 164.81  Prob > chi2 =  0.000
  iv(yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr
> 43 yr44 yr45 yr46 yr47 yr48 yr49 yr50 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1, eq(level))
    Sargan test excluding group:     chi2(148)  = 299.79  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(57)   = 149.06  Prob > chi2 =  0.000


. outreg2 using output/out.xml, excel dec(3) keep(L.demo L.Capacity L2.Capacity  $covar) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  5114

. 
. xtabond2 Capacity L.demo L.Capacity L2.Capacity  yr1-yr50 $covar, gmm(L.Capacity, lag(2 6) eq(both)) iv(yr1-yr50 $covar, eq(level)) 
Favoring space over speed. To switch, type or click on mata: mata set matafavor speed, perm.
Warning: Number of instruments may be large relative to number of observations.

Dynamic panel-data estimation, one-step system GMM
------------------------------------------------------------------------------
Group variable: ccode                           Number of obs      =      5114
Time variable : year                            Number of groups   =       138
Number of instruments = 311                     Obs per group: min =         4
Wald chi2(65) = 141137.40                                      avg =     37.06
Prob > chi2   =     0.000                                      max =        45
------------------------------------------------------------------------------
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .0795748   .0305297     2.61   0.009     .0197377    .1394118
             |
    Capacity |
         L1. |   .8515137   .0357448    23.82   0.000     .7814551    .9215723
         L2. |   .0387721   .0320252     1.21   0.226    -.0239962    .1015403
             |
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |          0  (omitted)
         yr4 |   .0113559   .0261386     0.43   0.664    -.0398749    .0625866
         yr5 |  -.0098652   .0259987    -0.38   0.704    -.0608217    .0410913
         yr6 |   .0076864   .0259775     0.30   0.767    -.0432286    .0586013
         yr7 |   -.015458   .0258397    -0.60   0.550    -.0661028    .0351868
         yr8 |  -.0150351   .0259557    -0.58   0.562    -.0659073     .035837
         yr9 |   -.029613   .0259142    -1.14   0.253     -.080404     .021178
        yr10 |  -.0202406   .0260806    -0.78   0.438    -.0713577    .0308764
        yr11 |   .0164853   .0261296     0.63   0.528    -.0347277    .0676982
        yr12 |    .027153   .0260827     1.04   0.298    -.0239682    .0782742
        yr13 |   .0268955    .026091     1.03   0.303    -.0242419    .0780328
        yr14 |   .0546024    .026439     2.07   0.039     .0027828     .106422
        yr15 |    .064543   .0265451     2.43   0.015     .0125156    .1165705
        yr16 |   .0624275    .026637     2.34   0.019     .0102199    .1146351
        yr17 |   .0867839   .0270319     3.21   0.001     .0338024    .1397655
        yr18 |   .0714746   .0275284     2.60   0.009       .01752    .1254292
        yr19 |   .0605967   .0280354     2.16   0.031     .0056483    .1155452
        yr20 |   .0377169   .0283564     1.33   0.183    -.0178606    .0932944
        yr21 |   .0865893   .0281458     3.08   0.002     .0314245     .141754
        yr22 |   .0671641   .0284587     2.36   0.018     .0113861    .1229422
        yr23 |  -.0116754   .0289703    -0.40   0.687    -.0684562    .0451054
        yr24 |   .0263043    .028994     0.91   0.364    -.0305229    .0831315
        yr25 |   .0058995   .0287465     0.21   0.837    -.0504427    .0622416
        yr26 |  -.0225364   .0285697    -0.79   0.430    -.0785319    .0334591
        yr27 |   .0209275   .0284856     0.73   0.463    -.0349033    .0767583
        yr28 |    .001117   .0283168     0.04   0.969    -.0543829    .0566168
        yr29 |   .0119399   .0282415     0.42   0.672    -.0434124    .0672922
        yr30 |   .0025122    .027964     0.09   0.928    -.0522963    .0573207
        yr31 |   .0164737   .0279484     0.59   0.556    -.0383041    .0712515
        yr32 |  -.0616777   .0279802    -2.20   0.028    -.1165179   -.0068375
        yr33 |  -.0071607   .0277451    -0.26   0.796    -.0615401    .0472187
        yr34 |  -.0151539    .026691    -0.57   0.570    -.0674673    .0371596
        yr35 |   .0110479   .0264336     0.42   0.676     -.040761    .0628568
        yr36 |   .0647076   .0263801     2.45   0.014     .0130036    .1164115
        yr37 |    .016568   .0266538     0.62   0.534    -.0356725    .0688085
        yr38 |  -.0363502   .0267718    -1.36   0.175     -.088822    .0161216
        yr39 |  -.0192649   .0265838    -0.72   0.469    -.0713681    .0328384
        yr40 |  -.0675957   .0265093    -2.55   0.011     -.119553   -.0156383
        yr41 |   .0503055   .0264282     1.90   0.057    -.0014928    .1021039
        yr42 |   -.033918   .0261413    -1.30   0.194    -.0851541    .0173181
        yr43 |  -.0334491   .0262374    -1.27   0.202    -.0848733    .0179752
        yr44 |   -.018328   .0260634    -0.70   0.482    -.0694114    .0327554
        yr45 |  -.0629772   .0259465    -2.43   0.015    -.1138315    -.012123
        yr46 |  -.0185483   .0259612    -0.71   0.475    -.0694313    .0323347
        yr47 |  -.0033181   .0256698    -0.13   0.897    -.0536301    .0469938
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |   .0022264   .0024613     0.90   0.366    -.0025977    .0070506
      elf_l1 |  -.0057927   .0086832    -0.67   0.505    -.0228115    .0112261
   logGDP_l1 |   .0609739   .0107008     5.70   0.000     .0400008    .0819471
     agri_l1 |  -.0469364   .0301242    -1.56   0.119    -.1059788    .0121059
 literacy_l1 |  -.0057682    .016425    -0.35   0.725    -.0379606    .0264241
      min_l1 |  -.0683957   .0390643    -1.75   0.080    -.1449603     .008169
resources_l1 |   .0083527   .0025051     3.33   0.001     .0034428    .0132625
  log_aid_l1 |   .0006757   .0025077     0.27   0.788    -.0042393    .0055906
  exports_l1 |   .0464762   .0179993     2.58   0.010     .0111982    .0817543
  rivalry_l1 |  -.0010833   .0066776    -0.16   0.871    -.0141711    .0120045
   threat_l1 |   .0431947   .0173619     2.49   0.013      .009166    .0772235
      war_l1 |   .0073045   .0061471     1.19   0.235    -.0047437    .0193526
       _cons |  -.5003434   .0965549    -5.18   0.000    -.6895875   -.3110992
------------------------------------------------------------------------------
Instruments for first differences equation
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    L(2/6).L.Capacity
Instruments for levels equation
  Standard
    yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16
    yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31
    yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43 yr44 yr45 yr46
    yr47 yr48 yr49 yr50 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1
    resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1
    _cons
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    DL.L.Capacity
------------------------------------------------------------------------------
Arellano-Bond test for AR(1) in first differences: z = -14.92  Pr > z =  0.000
Arellano-Bond test for AR(2) in first differences: z =   1.87  Pr > z =  0.061
------------------------------------------------------------------------------
Sargan test of overid. restrictions: chi2(245)  = 510.83  Prob > chi2 =  0.000
  (Not robust, but not weakened by many instruments.)

Difference-in-Sargan tests of exogeneity of instrument subsets:
  GMM instruments for levels
    Sargan test excluding group:     chi2(201)  = 362.41  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(44)   = 148.42  Prob > chi2 =  0.000
  iv(yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr
> 43 yr44 yr45 yr46 yr47 yr48 yr49 yr50 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1, eq(level))
    Sargan test excluding group:     chi2(188)  = 364.47  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(57)   = 146.37  Prob > chi2 =  0.000


. outreg2 using output/out.xml, excel dec(3) keep(L.demo L.Capacity L2.Capacity $covar) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  5114

. 
. * spatial lag
. xtabond2 Capacity L.demo L.Capacity L2.Capacity L.Cap_region yr1-yr50 $covar, gmm(L.Capacity, lag(2 6) eq(both)) iv(yr1-yr50 L.Cap_region $covar, eq(level)) 
Favoring space over speed. To switch, type or click on mata: mata set matafavor speed, perm.
Warning: Number of instruments may be large relative to number of observations.

Dynamic panel-data estimation, one-step system GMM
------------------------------------------------------------------------------
Group variable: ccode                           Number of obs      =      5114
Time variable : year                            Number of groups   =       138
Number of instruments = 312                     Obs per group: min =         4
Wald chi2(66) = 144410.25                                      avg =     37.06
Prob > chi2   =     0.000                                      max =        45
------------------------------------------------------------------------------
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .0797044   .0304866     2.61   0.009     .0199517     .139457
             |
    Capacity |
         L1. |   .8471444   .0360391    23.51   0.000      .776509    .9177798
         L2. |    .041106   .0319286     1.29   0.198     -.021473    .1036849
             |
  Cap_region |
         L1. |   .0222194    .007402     3.00   0.003     .0077119     .036727
             |
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |  -.4170934   .0880271    -4.74   0.000    -.5896234   -.2445634
         yr4 |  -.4068648   .0880099    -4.62   0.000    -.5793609   -.2343687
         yr5 |  -.4292311   .0878617    -4.89   0.000    -.6014369   -.2570252
         yr6 |  -.4122425    .088096    -4.68   0.000    -.5849075   -.2395775
         yr7 |  -.4365689    .087604    -4.98   0.000    -.6082696   -.2648681
         yr8 |  -.4363616   .0877578    -4.97   0.000    -.6083636   -.2643595
         yr9 |  -.4512146   .0878017    -5.14   0.000    -.6233027   -.2791265
        yr10 |  -.4418999   .0881821    -5.01   0.000    -.6147337   -.2690662
        yr11 |  -.4053906   .0886466    -4.57   0.000    -.5791347   -.2316466
        yr12 |  -.3961855   .0880841    -4.50   0.000    -.5688271   -.2235439
        yr13 |  -.3971423   .0877218    -4.53   0.000    -.5690739   -.2252107
        yr14 |  -.3712028   .0880117    -4.22   0.000    -.5437025   -.1987031
        yr15 |  -.3628904    .087639    -4.14   0.000    -.5346598    -.191121
        yr16 |  -.3669326   .0869968    -4.22   0.000    -.5374433    -.196422
        yr17 |  -.3434195   .0865719    -3.97   0.000    -.5130973   -.1737417
        yr18 |   -.359974   .0864329    -4.16   0.000    -.5293794   -.1905685
        yr19 |  -.3721147   .0865038    -4.30   0.000    -.5416591   -.2025703
        yr20 |  -.3963338   .0864832    -4.58   0.000    -.5658377   -.2268299
        yr21 |   -.348587   .0860109    -4.05   0.000    -.5171652   -.1800088
        yr22 |  -.3698214   .0856258    -4.32   0.000    -.5376448    -.201998
        yr23 |  -.4494654   .0855168    -5.26   0.000    -.6170752   -.2818556
        yr24 |  -.4104604   .0859681    -4.77   0.000    -.5789549    -.241966
        yr25 |  -.4312538   .0855264    -5.04   0.000    -.5988824   -.2636252
        yr26 |  -.4595032   .0855853    -5.37   0.000    -.6272472   -.2917591
        yr27 |  -.4156233   .0860459    -4.83   0.000    -.5842702   -.2469763
        yr28 |  -.4353586    .085723    -5.08   0.000    -.6033726   -.2673446
        yr29 |  -.4244151   .0861113    -4.93   0.000    -.5931902   -.2556399
        yr30 |  -.4339846   .0856153    -5.07   0.000    -.6017876   -.2661817
        yr31 |  -.4197537   .0856758    -4.90   0.000    -.5876751   -.2518323
        yr32 |  -.4974894    .085402    -5.83   0.000    -.6648743   -.3301046
        yr33 |  -.4406493   .0857958    -5.14   0.000     -.608806   -.2724927
        yr34 |  -.4479834   .0854842    -5.24   0.000    -.6155294   -.2804374
        yr35 |  -.4217805   .0857393    -4.92   0.000    -.5898264   -.2537346
        yr36 |  -.3687879   .0854119    -4.32   0.000    -.5361921   -.2013837
        yr37 |  -.4180904   .0851051    -4.91   0.000    -.5848933   -.2512876
        yr38 |  -.4712821   .0853662    -5.52   0.000    -.6385967   -.3039674
        yr39 |  -.4536213   .0857878    -5.29   0.000    -.6217623   -.2854804
        yr40 |  -.5017592   .0861655    -5.82   0.000    -.6706404    -.332878
        yr41 |  -.3825168   .0867655    -4.41   0.000     -.552574   -.2124595
        yr42 |  -.4674936   .0858157    -5.45   0.000    -.6356892    -.299298
        yr43 |   -.466562    .086406    -5.40   0.000    -.6359147   -.2972094
        yr44 |  -.4510689   .0865434    -5.21   0.000    -.6206907    -.281447
        yr45 |  -.4954926   .0865532    -5.72   0.000    -.6651338   -.3258515
        yr46 |  -.4500259   .0873188    -5.15   0.000    -.6211677   -.2788841
        yr47 |  -.4350194   .0871251    -4.99   0.000    -.6057813   -.2642574
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |   .0015675   .0024549     0.64   0.523     -.003244     .006379
      elf_l1 |   .0017849   .0088623     0.20   0.840    -.0155848    .0191547
   logGDP_l1 |   .0523566   .0098343     5.32   0.000     .0330818    .0716315
     agri_l1 |  -.0484799   .0301572    -1.61   0.108    -.1075869    .0106272
 literacy_l1 |  -.0066451   .0164024    -0.41   0.685    -.0387932     .025503
      min_l1 |  -.0633699   .0390158    -1.62   0.104    -.1398395    .0130997
resources_l1 |    .008581   .0025164     3.41   0.001      .003649     .013513
  log_aid_l1 |   .0021433   .0024709     0.87   0.386    -.0026996    .0069863
  exports_l1 |   .0489257   .0180446     2.71   0.007     .0135589    .0842924
  rivalry_l1 |  -.0007913   .0066738    -0.12   0.906    -.0138717    .0122891
   threat_l1 |   .0445016    .017361     2.56   0.010     .0104746    .0785286
      war_l1 |   .0065963   .0061311     1.08   0.282    -.0054204     .018613
       _cons |          0  (omitted)
------------------------------------------------------------------------------
Instruments for first differences equation
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    L(2/6).L.Capacity
Instruments for levels equation
  Standard
    yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16
    yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31
    yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43 yr44 yr45 yr46
    yr47 yr48 yr49 yr50 L.Cap_region lnpop_l1 elf_l1 logGDP_l1 agri_l1
    literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1
    war_l1
    _cons
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    DL.L.Capacity
------------------------------------------------------------------------------
Arellano-Bond test for AR(1) in first differences: z = -14.96  Pr > z =  0.000
Arellano-Bond test for AR(2) in first differences: z =   1.83  Pr > z =  0.068
------------------------------------------------------------------------------
Sargan test of overid. restrictions: chi2(245)  = 513.18  Prob > chi2 =  0.000
  (Not robust, but not weakened by many instruments.)

Difference-in-Sargan tests of exogeneity of instrument subsets:
  GMM instruments for levels
    Sargan test excluding group:     chi2(201)  = 362.53  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(44)   = 150.65  Prob > chi2 =  0.000
  iv(yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr
> 43 yr44 yr45 yr46 yr47 yr48 yr49 yr50 L.Cap_region lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1, eq(level))
    Sargan test excluding group:     chi2(187)  = 358.53  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(58)   = 154.65  Prob > chi2 =  0.000


. outreg2 using output/out.xml, excel dec(3) keep(L.demo L.Capacity L2.Capacity L.Cap_region $covar) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  5114

. 
. * spatial lag also instrumented
. xtabond2 Capacity L.demo L.Capacity L2.Capacity L.Cap_region yr1-yr50 $covar, gmm(L.Capacity, lag(2 6) eq(both)) gmm(L.Cap_region, lag(1 1) eq(both)) iv(yr1-yr50 $covar, eq(level)) 
Favoring space over speed. To switch, type or click on mata: mata set matafavor speed, perm.
Warning: Number of instruments may be large relative to number of observations.

Dynamic panel-data estimation, one-step system GMM
------------------------------------------------------------------------------
Group variable: ccode                           Number of obs      =      5114
Time variable : year                            Number of groups   =       138
Number of instruments = 400                     Obs per group: min =         4
Wald chi2(66) = 137692.25                                      avg =     37.06
Prob > chi2   =     0.000                                      max =        45
------------------------------------------------------------------------------
    Capacity |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .0412201   .0229301     1.80   0.072     -.003722    .0861623
             |
    Capacity |
         L1. |    .887604   .0333328    26.63   0.000      .822273     .952935
         L2. |   .0213235   .0297202     0.72   0.473     -.036927    .0795739
             |
  Cap_region |
         L1. |     .02525   .0132429     1.91   0.057    -.0007057    .0512056
             |
         yr1 |          0  (omitted)
         yr2 |          0  (omitted)
         yr3 |  -.3441203    .095735    -3.59   0.000    -.5317575   -.1564832
         yr4 |   -.335462   .0954749    -3.51   0.000    -.5225893   -.1483347
         yr5 |  -.3602034   .0951129    -3.79   0.000    -.5466213   -.1737854
         yr6 |  -.3437297   .0951889    -3.61   0.000    -.5302965   -.1571628
         yr7 |  -.3696736    .094523    -3.91   0.000    -.5549352    -.184412
         yr8 |   -.369334    .094598    -3.90   0.000    -.5547426   -.1839254
         yr9 |  -.3850262   .0945571    -4.07   0.000    -.5703547   -.1996977
        yr10 |   -.376309   .0948675    -3.97   0.000    -.5622459   -.1903721
        yr11 |  -.3405889   .0951871    -3.58   0.000    -.5271522   -.1540256
        yr12 |  -.3344898   .0943847    -3.54   0.000    -.5194805   -.1494991
        yr13 |   -.335296   .0939521    -3.57   0.000    -.5194386   -.1511533
        yr14 |  -.3119735   .0938256    -3.33   0.001    -.4958684   -.1280787
        yr15 |  -.3052917   .0931965    -3.28   0.001    -.4879535   -.1226299
        yr16 |  -.3105832   .0922942    -3.37   0.001    -.4914766   -.1296898
        yr17 |  -.2886698   .0917579    -3.15   0.002    -.4685119   -.1088277
        yr18 |  -.3081759   .0913682    -3.37   0.001    -.4872543   -.1290975
        yr19 |  -.3217483    .091166    -3.53   0.000    -.5004305   -.1430662
        yr20 |  -.3469845   .0908779    -3.82   0.000     -.525102   -.1688671
        yr21 |  -.2969282   .0903497    -3.29   0.001    -.4740103   -.1198461
        yr22 |  -.3210659   .0896853    -3.58   0.000    -.4968458   -.1452859
        yr23 |  -.4020813   .0893936    -4.50   0.000    -.5772897    -.226873
        yr24 |  -.3605679   .0899484    -4.01   0.000    -.5368637   -.1842722
        yr25 |  -.3819635   .0895172    -4.27   0.000     -.557414    -.206513
        yr26 |  -.4086685   .0896261    -4.56   0.000    -.5843325   -.2330046
        yr27 |  -.3636383   .0901057    -4.04   0.000    -.5402423   -.1870344
        yr28 |   -.384087   .0898746    -4.27   0.000    -.5602381    -.207936
        yr29 |  -.3722339   .0902309    -4.13   0.000    -.5490833   -.1953845
        yr30 |  -.3819286   .0897873    -4.25   0.000    -.5579084   -.2059488
        yr31 |  -.3670171   .0899018    -4.08   0.000    -.5432214   -.1908127
        yr32 |  -.4447515   .0897874    -4.95   0.000    -.6207315   -.2687714
        yr33 |  -.3841912   .0905544    -4.24   0.000    -.5616746   -.2067078
        yr34 |  -.3919532   .0904302    -4.33   0.000    -.5691931   -.2147132
        yr35 |  -.3629184   .0906475    -4.00   0.000    -.5405842   -.1852526
        yr36 |  -.3105399   .0902741    -3.44   0.001    -.4874739   -.1336058
        yr37 |  -.3626317   .0898013    -4.04   0.000     -.538639   -.1866245
        yr38 |  -.4155341    .089944    -4.62   0.000     -.591821   -.2392472
        yr39 |  -.3953142   .0904159    -4.37   0.000    -.5725261   -.2181023
        yr40 |  -.4449007   .0907521    -4.90   0.000    -.6227716   -.2670298
        yr41 |  -.3228473   .0915163    -3.53   0.000     -.502216   -.1434786
        yr42 |  -.4104535    .090599    -4.53   0.000    -.5880243   -.2328828
        yr43 |  -.4072136   .0911776    -4.47   0.000    -.5859184   -.2285087
        yr44 |  -.3912058   .0913828    -4.28   0.000    -.5703128   -.2120988
        yr45 |  -.4352671   .0914483    -4.76   0.000    -.6145023   -.2560318
        yr46 |  -.3872482   .0923074    -4.20   0.000    -.5681674    -.206329
        yr47 |  -.3724306   .0921383    -4.04   0.000    -.5530184   -.1918428
        yr48 |          0  (omitted)
        yr49 |          0  (omitted)
        yr50 |          0  (omitted)
    lnpop_l1 |    .001577   .0025169     0.63   0.531    -.0033561    .0065101
      elf_l1 |   .0047415   .0097436     0.49   0.627    -.0143556    .0238387
   logGDP_l1 |   .0459673   .0103868     4.43   0.000     .0256096    .0663251
     agri_l1 |  -.0436966   .0304621    -1.43   0.151    -.1034013     .016008
 literacy_l1 |   .0012542   .0159486     0.08   0.937    -.0300044    .0325128
      min_l1 |  -.0774744   .0380331    -2.04   0.042    -.1520178   -.0029309
resources_l1 |   .0069265   .0024766     2.80   0.005     .0020725    .0117804
  log_aid_l1 |     .00325   .0026108     1.24   0.213    -.0018671    .0083671
  exports_l1 |   .0413443   .0180718     2.29   0.022     .0059242    .0767643
  rivalry_l1 |  -.0051952   .0063058    -0.82   0.410    -.0175542    .0071639
   threat_l1 |   .0439913   .0176735     2.49   0.013      .009352    .0786307
      war_l1 |    .006305    .006265     1.01   0.314    -.0059742    .0185843
       _cons |          0  (omitted)
------------------------------------------------------------------------------
Instruments for first differences equation
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    L.L.Cap_region
    L(2/6).L.Capacity
Instruments for levels equation
  Standard
    yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16
    yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31
    yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr43 yr44 yr45 yr46
    yr47 yr48 yr49 yr50 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1
    resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1
    _cons
  GMM-type (missing=0, separate instruments for each period unless collapsed)
    D.L.Cap_region
    DL.L.Capacity
------------------------------------------------------------------------------
Arellano-Bond test for AR(1) in first differences: z = -16.77  Pr > z =  0.000
Arellano-Bond test for AR(2) in first differences: z =   2.49  Pr > z =  0.013
------------------------------------------------------------------------------
Sargan test of overid. restrictions: chi2(333)  = 617.08  Prob > chi2 =  0.000
  (Not robust, but not weakened by many instruments.)

Difference-in-Sargan tests of exogeneity of instrument subsets:
  GMM instruments for levels
    Sargan test excluding group:     chi2(244)  = 439.70  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(89)   = 177.38  Prob > chi2 =  0.000
  gmm(L.Capacity, lag(2 6))
    Sargan test excluding group:     chi2(79)   = 174.82  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(254)  = 442.26  Prob > chi2 =  0.000
  gmm(L.Cap_region, lag(1 1))
    Sargan test excluding group:     chi2(244)  = 492.46  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(89)   = 124.61  Prob > chi2 =  0.008
  iv(yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11 yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32 yr33 yr34 yr35 yr36 yr37 yr38 yr39 yr40 yr41 yr42 yr
> 43 yr44 yr45 yr46 yr47 yr48 yr49 yr50 lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1, eq(level))
    Sargan test excluding group:     chi2(276)  = 519.35  Prob > chi2 =  0.000
    Difference (null H = exogenous): chi2(57)   =  97.73  Prob > chi2 =  0.001


. outreg2 using output/out.xml, excel dec(3) keep(L.demo L.Capacity L2.Capacity L.Cap_region $covar) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  5114

. 
. 
. ***************************
. ** Table A8. Adding trends
. ***************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. use Data_full, clear

. g year2 = year^2

. g year3 = year^3

. 
. reg Capacity demo_l1 i.year i.ccode, cl(ccode)

Linear regression                               Number of obs     =      7,019
                                                F(48, 173)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.8574
                                                Root MSE          =     .38191

                                (Std. Err. adjusted for 174 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |    .099272   .0514245     1.93   0.055    -.0022281    .2007721
             |
        year |
       1962  |   .0563411   .0100247     5.62   0.000     .0365547    .0761276
       1963  |   .1016739   .0195494     5.20   0.000     .0630879      .14026
       1964  |   .1394095   .0194679     7.16   0.000     .1009844    .1778347
       1965  |   .1909059   .0237329     8.04   0.000     .1440626    .2377493
       1966  |   .2165911   .0256244     8.45   0.000     .1660143    .2671679
       1967  |   .2409682   .0278988     8.64   0.000     .1859024    .2960341
       1968  |   .2590371   .0297465     8.71   0.000     .2003242    .3177499
       1969  |   .2844927   .0333984     8.52   0.000      .218572    .3504135
       1970  |   .3520542   .0334484    10.53   0.000     .2860346    .4180737
       1971  |   .4231941   .0370894    11.41   0.000     .3499881       .4964
       1972  |   .4755595   .0437308    10.87   0.000      .389245     .561874
       1973  |   .5529574   .0435056    12.71   0.000     .4670872    .6388276
       1974  |   .6280268   .0441699    14.22   0.000     .5408455    .7152082
       1975  |   .6689719   .0478012    13.99   0.000     .5746232    .7633205
       1976  |   .7459548   .0500968    14.89   0.000     .6470752    .8448344
       1977  |     .80953   .0483488    16.74   0.000     .7141006    .9049594
       1978  |   .8655576   .0487017    17.77   0.000     .7694317    .9616835
       1979  |   .9109187   .0533289    17.08   0.000     .8056596    1.016178
       1980  |   .9889166   .0527581    18.74   0.000     .8847842    1.093049
       1981  |   1.035166   .0539863    19.17   0.000     .9286092    1.141723
       1982  |   .9709858   .0554369    17.52   0.000      .861566    1.080406
       1983  |   .9911388   .0545955    18.15   0.000     .8833799    1.098898
       1984  |    .985348   .0546025    18.05   0.000     .8775752    1.093121
       1985  |   .9569109   .0563701    16.98   0.000     .8456491    1.068173
       1986  |   .9616588   .0595997    16.14   0.000     .8440226    1.079295
       1987  |   .9387107   .0580477    16.17   0.000     .8241378    1.053284
       1988  |    .963176   .0589583    16.34   0.000     .8468058    1.079546
       1989  |   .9467618   .0610889    15.50   0.000     .8261863    1.067337
       1990  |   .9376488   .0621678    15.08   0.000     .8149437    1.060354
       1991  |   .8930582   .0628716    14.20   0.000      .768964    1.017152
       1992  |   .8397574   .0685047    12.26   0.000     .7045449    .9749699
       1993  |   .8324171   .0671468    12.40   0.000     .6998847    .9649494
       1994  |   .8672226   .0692864    12.52   0.000     .7304672    1.003978
       1995  |   .9370497   .0609961    15.36   0.000     .8166574    1.057442
       1996  |   .9585716    .061829    15.50   0.000     .8365353    1.080608
       1997  |   .9418461   .0644215    14.62   0.000     .8146929    1.068999
       1998  |   .9393956   .0657632    14.28   0.000      .809594    1.069197
       1999  |   .8753407   .0662856    13.21   0.000     .7445081    1.006173
       2000  |   .9370687    .065805    14.24   0.000     .8071847    1.066953
       2001  |   .9152076   .0668683    13.69   0.000     .7832249     1.04719
       2002  |   .9105087   .0693788    13.12   0.000     .7735708    1.047447
       2003  |   .8998305   .0725967    12.39   0.000     .7565412     1.04312
       2004  |   .8553166   .0768616    11.13   0.000     .7036093    1.007024
       2005  |   .8638499   .0774542    11.15   0.000     .7109729    1.016727
       2006  |   .8969007   .0779132    11.51   0.000     .7431178    1.050684
       2007  |   .8873839   .0800336    11.09   0.000     .7294158    1.045352
       2008  |   .8884946   .0795069    11.18   0.000     .7315661    1.045423
       2009  |   .8511875   .0766101    11.11   0.000     .6999766    1.002398
             |
       ccode |
         20  |  -.1304245   5.45e-15 -2.4e+13   0.000    -.1304245   -.1304245
         40  |  -1.547585   .0514245   -30.09   0.000    -1.649085   -1.446085
         41  |  -2.836782   .0514245   -55.16   0.000    -2.938283   -2.735282
         42  |  -2.111384   .0062969  -335.31   0.000    -2.123813   -2.098956
         51  |  -1.674932   5.46e-15 -3.1e+14   0.000    -1.674932   -1.674932
         52  |  -1.556187   .0018109  -859.33   0.000    -1.559762   -1.552613
         70  |  -1.756068   .0419792   -41.83   0.000    -1.838925   -1.673211
         90  |  -2.301607   .0073464  -313.30   0.000    -2.316107   -2.287107
         91  |  -2.316957   .0188906  -122.65   0.000    -2.354243   -2.279671
         92  |  -2.131996   .0251875   -84.65   0.000     -2.18171   -2.082282
         93  |  -2.020617   .0251875   -80.22   0.000    -2.070331   -1.970902
         94  |  -1.768407   5.46e-15 -3.2e+14   0.000    -1.768407   -1.768407
         95  |  -1.802236    .024138   -74.66   0.000    -1.849879   -1.754593
        100  |  -1.805162   5.46e-15 -3.3e+14   0.000    -1.805162   -1.805162
        101  |  -1.540686   .0041979  -367.01   0.000    -1.548971     -1.5324
        110  |  -1.967133   .0326239   -60.30   0.000    -2.031525   -1.902741
        130  |  -1.932865   .0199401   -96.93   0.000    -1.972222   -1.893508
        135  |  -1.802189   .0251875   -71.55   0.000    -1.851903   -1.752474
        140  |  -1.611341   .0157422  -102.36   0.000    -1.642412   -1.580269
        145  |  -2.172244   .0220391   -98.56   0.000    -2.215745   -2.128744
        150  |  -1.921916   .0451276   -42.59   0.000    -2.010988   -1.832845
        155  |  -1.104554   .0178411   -61.91   0.000    -1.139768    -1.06934
        160  |  -1.697211   .0157422  -107.81   0.000    -1.728282   -1.666139
        165  |  -1.252937   .0125937   -99.49   0.000    -1.277794    -1.22808
        200  |  -.0978111   5.45e-15 -1.8e+13   0.000    -.0978111   -.0978111
        205  |  -.4554196   5.45e-15 -8.3e+13   0.000    -.4554196   -.4554196
        210  |   -.298158   5.45e-15 -5.5e+13   0.000     -.298158    -.298158
        211  |   -.248277   5.46e-15 -4.5e+13   0.000     -.248277    -.248277
        220  |  -.2836263   5.46e-15 -5.2e+13   0.000    -.2836263   -.2836263
        225  |  -.3067697   5.46e-15 -5.6e+13   0.000    -.3067697   -.3067697
        230  |  -.9718159   .0178411   -54.47   0.000     -1.00703   -.9366015
        235  |  -.9578924   .0167917   -57.05   0.000    -.9910353   -.9247495
        255  |  -.4969349   .0299581   -16.59   0.000    -.5560654   -.4378044
        260  |  -.6194374   .0189735   -32.65   0.000    -.6568867    -.581988
        265  |  -.8253907   .0462135   -17.86   0.000    -.9166056   -.7341759
        290  |  -1.109092   .0304349   -36.44   0.000    -1.169164   -1.049021
        305  |   -.560539   5.45e-15 -1.0e+14   0.000     -.560539    -.560539
        310  |  -.9029292   .0314844   -28.68   0.000    -.9650721   -.8407862
        315  |  -.8597986   .0433248   -19.85   0.000    -.9453118   -.7742853
        316  |    -1.0674   .0322756   -33.07   0.000    -1.131105   -1.003695
        317  |  -1.037277   .0322756   -32.14   0.000    -1.100981   -.9735718
        325  |  -.7028091   5.46e-15 -1.3e+14   0.000    -.7028091   -.7028091
        339  |  -1.363273   .0346328   -39.36   0.000     -1.43163   -1.294916
        342  |  -1.617667    .048837   -33.12   0.000     -1.71406   -1.521274
        343  |  -1.946846   .0309371   -62.93   0.000    -2.007909   -1.885783
        344  |  -1.030207   .0482854   -21.34   0.000    -1.125511   -.9349026
        345  |  -1.489524   .0462478   -32.21   0.000    -1.580807   -1.398241
        346  |  -2.153124   .0709091   -30.36   0.000    -2.293082   -2.013166
        347  |  -2.115867    .050234   -42.12   0.000    -2.215017   -2.016716
        348  |  -2.113131    .048837   -43.27   0.000    -2.209525   -2.016738
        349  |  -.7672115   .0309371   -24.80   0.000    -.8282742   -.7061488
        350  |  -.7607906   .0073464  -103.56   0.000    -.7752906   -.7462906
        352  |  -.8261867   .0178411   -46.31   0.000    -.8614011   -.7909724
        355  |  -1.000195   .0314844   -31.77   0.000    -1.062338   -.9380525
        359  |  -2.334039   .0309371   -75.44   0.000    -2.395101   -2.272976
        360  |  -1.358646   .0325338   -41.76   0.000     -1.42286   -1.294431
        364  |  -.6473568   .0462478   -14.00   0.000    -.7386394   -.5560742
        365  |  -1.537925   .0526895   -29.19   0.000    -1.641923   -1.433928
        366  |  -1.315152   .0309371   -42.51   0.000    -1.376215   -1.254089
        367  |  -1.716557   .0338859   -50.66   0.000     -1.78344   -1.649674
        368  |  -1.384838    .032319   -42.85   0.000    -1.448629   -1.321048
        369  |   -2.09034   .0309371   -67.57   0.000    -2.151402   -2.029277
        370  |  -1.498736   .0631055   -23.75   0.000    -1.623292    -1.37418
        371  |  -1.874732   .0709091   -26.44   0.000    -2.014691   -1.734774
        372  |  -2.194595   .0580236   -37.82   0.000    -2.309121    -2.08007
        373  |  -1.949979   .0709091   -27.50   0.000    -2.089937   -1.810021
        375  |  -.2868748   5.45e-15 -5.3e+13   0.000    -.2868748   -.2868748
        380  |   -.139833   5.45e-15 -2.6e+13   0.000     -.139833    -.139833
        385  |  -.2391321   5.45e-15 -4.4e+13   0.000    -.2391321   -.2391321
        390  |  -.2503743   5.45e-15 -4.6e+13   0.000    -.2503743   -.2503743
        404  |  -2.624705   .0509308   -51.53   0.000    -2.725231   -2.524179
        411  |  -2.820997   .0536152   -52.62   0.000    -2.926821   -2.715173
        420  |  -2.749652   .0268794  -102.30   0.000    -2.802706   -2.696598
        432  |  -2.797209   .0335833   -83.29   0.000    -2.863495   -2.730924
        433  |   -2.41401   .0419792   -57.50   0.000    -2.496867   -2.331153
        434  |  -2.875962   .0325338   -88.40   0.000    -2.940177   -2.811748
        435  |  -2.421425   .0514245   -47.09   0.000    -2.522925   -2.319925
        436  |  -2.928868   .0377812   -77.52   0.000     -3.00344   -2.854297
        437  |   -2.40841   .0514245   -46.83   0.000     -2.50991    -2.30691
        438  |  -2.541295   .0514245   -49.42   0.000    -2.642795   -2.439795
        439  |  -2.738927   .0514245   -53.26   0.000    -2.840427   -2.637427
        450  |   -2.74657    .048276   -56.89   0.000    -2.841856   -2.651284
        451  |  -2.788349   .0375775   -74.20   0.000    -2.862518    -2.71418
        452  |  -2.483078   .0346328   -71.70   0.000    -2.551435   -2.414721
        461  |   -2.70288   .0514245   -52.56   0.000     -2.80438    -2.60138
        471  |  -2.366982   .0514245   -46.03   0.000    -2.468482   -2.265482
        475  |  -2.637533   .0409297   -64.44   0.000    -2.718319   -2.556748
        481  |  -1.819202   .0514245   -35.38   0.000    -1.920702   -1.717702
        482  |  -2.999394   .0409297   -73.28   0.000     -3.08018   -2.918608
        483  |  -3.062139   .0514245   -59.55   0.000    -3.163639   -2.960639
        484  |  -2.281119    .048276   -47.25   0.000    -2.376404   -2.185833
        490  |  -2.961562   .0514245   -57.59   0.000    -3.063063   -2.860062
        500  |  -2.717006   .0461282   -58.90   0.000    -2.808052   -2.625959
        501  |  -2.259902   .0439955   -51.37   0.000    -2.346739   -2.173065
        510  |  -2.548305    .051502   -49.48   0.000    -2.649958   -2.446652
        516  |  -2.964205   .0472215   -62.77   0.000    -3.057409      -2.871
        517  |  -2.708962   .0514245   -52.68   0.000    -2.810462   -2.607462
        520  |  -3.304992   .0419792   -78.73   0.000    -3.387849   -3.222134
        522  |  -2.017095   .0583773   -34.55   0.000    -2.132318   -1.901871
        529  |   -2.71185   .0714746   -37.94   0.000    -2.852925   -2.570776
        530  |  -2.533505   .0463535   -54.66   0.000    -2.624996   -2.442014
        531  |  -2.340885   .0719198   -32.55   0.000    -2.482838   -2.198932
        540  |  -2.099311   .0572095   -36.70   0.000     -2.21223   -1.986393
        541  |  -2.685903   .0426984   -62.90   0.000     -2.77018   -2.601626
        551  |   -2.00724   .0509228   -39.42   0.000     -2.10775    -1.90673
        552  |  -1.902788   .0541289   -35.15   0.000    -2.009626    -1.79595
        553  |  -2.546657   .0349881   -72.79   0.000    -2.615716   -2.477599
        560  |  -1.048297   .0356823   -29.38   0.000    -1.118726   -.9778686
        565  |  -1.516975    .070098   -21.64   0.000    -1.655333   -1.378618
        570  |   -2.30837   .0444453   -51.94   0.000    -2.396094   -2.220645
        571  |  -1.845512   .0058513  -315.40   0.000    -1.857061   -1.833963
        572  |  -2.196478   .0536152   -40.97   0.000    -2.302303   -2.090654
        580  |  -2.845736   .0346328   -82.17   0.000    -2.914094   -2.777379
        581  |  -3.320464     .05282   -62.86   0.000    -3.424718   -3.216209
        590  |  -2.167328   .0079312  -273.26   0.000    -2.182982   -2.151674
        600  |  -1.800077   .0514245   -35.00   0.000    -1.901578   -1.698577
        615  |  -1.751882   .0515951   -33.95   0.000    -1.853719   -1.650045
        616  |  -1.665248   .0514245   -32.38   0.000    -1.766748   -1.563748
        620  |  -1.614117   .0514245   -31.39   0.000    -1.715617   -1.512617
        625  |  -2.690993   .0440781   -61.05   0.000    -2.777993   -2.603993
        630  |  -1.448439   .0514245   -28.17   0.000     -1.54994   -1.346939
        640  |  -1.186778   .0041979  -282.71   0.000    -1.195063   -1.178492
        645  |   -1.79764   .0514245   -34.96   0.000     -1.89914    -1.69614
        651  |  -1.421476   .0514245   -27.64   0.000    -1.522976   -1.319976
        652  |  -1.545873   .0514245   -30.06   0.000    -1.647373   -1.444373
        660  |  -1.844357   .0461771   -39.94   0.000      -1.9355   -1.753214
        663  |  -1.185486   .0514245   -23.05   0.000    -1.286987   -1.083986
        666  |  -.1616876   5.46e-15 -3.0e+13   0.000    -.1616876   -.1616876
        670  |  -1.076564   .0514245   -20.93   0.000    -1.178064   -.9750641
        678  |  -2.268112   .0462135   -49.08   0.000    -2.359327   -2.176897
        679  |  -2.406359    .070098   -34.33   0.000    -2.544716   -2.268002
        680  |  -1.768004   .0455551   -38.81   0.000    -1.857919   -1.678089
        690  |  -.3630302   .0515951    -7.04   0.000    -.4648672   -.2611932
        692  |  -.8281196   .0551051   -15.03   0.000    -.9368844   -.7193547
        694  |  -.4798407   .0551051    -8.71   0.000    -.5886056   -.3710758
        696  |  -.3924919   .0551051    -7.12   0.000    -.5012568   -.2837271
        698  |  -1.114031   .0514245   -21.66   0.000    -1.215531   -1.012531
        700  |  -3.271818   .0514245   -63.62   0.000    -3.373318   -3.170318
        701  |  -2.339522   .0709091   -32.99   0.000     -2.47948   -2.199563
        702  |  -2.743793   .0709091   -38.69   0.000    -2.883751   -2.603835
        703  |  -2.358601   .0709091   -33.26   0.000    -2.498559   -2.218643
        704  |  -2.605742   .0709091   -36.75   0.000      -2.7457   -2.465784
        705  |  -1.781026   .0709091   -25.12   0.000    -1.920984   -1.641067
        710  |  -1.656391   .0514245   -32.21   0.000    -1.757891   -1.554891
        712  |   -1.44662   .0314844   -45.95   0.000    -1.508763   -1.384477
        713  |  -.8337423   .0377812   -22.07   0.000    -.9083139   -.7591708
        731  |  -1.345335   .0514245   -26.16   0.000    -1.446835   -1.243835
        732  |  -.7356311   .0283359   -25.96   0.000    -.7915598   -.6797025
        740  |  -.5298441   5.46e-15 -9.7e+13   0.000    -.5298441   -.5298441
        750  |  -2.004176   5.48e-15 -3.7e+14   0.000    -2.004176   -2.004176
        760  |  -2.262304   .0514245   -43.99   0.000    -2.363804   -2.160804
        769  |  -2.098457   .0560277   -37.45   0.000    -2.209043   -1.987871
        770  |  -2.088528   .0341093   -61.23   0.000    -2.155852   -2.021204
        771  |  -2.698583   .0277683   -97.18   0.000    -2.753391   -2.643775
        775  |  -2.415831   .0493255   -48.98   0.000    -2.513188   -2.318474
        780  |  -2.105186   .0146927  -143.28   0.000    -2.134186   -2.076186
        790  |  -2.648705   .0388307   -68.21   0.000    -2.725348   -2.572062
        800  |  -1.527706   .0272865   -55.99   0.000    -1.581563   -1.473849
        811  |  -2.719443   .0514245   -52.88   0.000    -2.820943   -2.617943
        812  |  -2.363013   .0514245   -45.95   0.000    -2.464513   -2.261513
        816  |   -2.54297   .0518822   -49.01   0.000    -2.645373   -2.440566
        817  |  -1.505666   .0527045   -28.57   0.000    -1.609693    -1.40164
        818  |  -1.887793   .0577535   -32.69   0.000    -2.001785   -1.773801
        820  |  -1.004947   .0514245   -19.54   0.000    -1.106447   -.9034466
        830  |  -.4696008   .0514245    -9.13   0.000    -.5711009   -.3681006
        840  |   -1.89475   .0220391   -85.97   0.000     -1.93825    -1.85125
        850  |  -1.934461   .0409297   -47.26   0.000    -2.015247   -1.853675
        860  |  -3.288371   .0445833   -73.76   0.000    -3.376368   -3.200374
        900  |   .0301149   5.45e-15  5.5e+12   0.000     .0301149    .0301149
        910  |  -2.315909   .0145046  -159.67   0.000    -2.344538   -2.287281
        920  |  -.1520741   5.45e-15 -2.8e+13   0.000    -.1520741   -.1520741
        940  |  -3.565417   .0222058  -160.56   0.000    -3.609246   -3.521588
        950  |  -1.902838   .0328182   -57.98   0.000    -1.967614   -1.838063
             |
       _cons |   .9510455   .0646805    14.70   0.000      .823381     1.07871
------------------------------------------------------------------------------

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons
output/out.xml
dir : seeout

. predict Cap_fe, xb
(167 missing values generated)

. 
. reg Capacity demo_l1 c.year#i.ccode i.year i.ccode, cl(ccode)
note: 950.ccode#c.year omitted because of collinearity

Linear regression                               Number of obs     =      7,019
                                                F(55, 173)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.9286
                                                Root MSE          =     .27368

                                (Std. Err. adjusted for 174 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0453874   .0330513     1.37   0.171    -.0198483    .1106231
             |
ccode#c.year |
          2  |   .0009819   .0017343     0.57   0.572    -.0024411     .004405
         20  |   .0041568   .0017343     2.40   0.018     .0007337    .0075798
         40  |  -.0187976   .0017343   -10.84   0.000    -.0222206   -.0153745
         41  |  -.0401159   .0017343   -23.13   0.000     -.043539   -.0366929
         42  |  -.0001209   .0021171    -0.06   0.955    -.0042996    .0040577
         51  |  -.0032075   .0017343    -1.85   0.066    -.0066306    .0002155
         52  |   .0175188   .0016594    10.56   0.000     .0142436     .020794
         70  |    .000948   .0022736     0.42   0.677    -.0035396    .0054356
         90  |   .0019978   .0019155     1.04   0.298     -.001783    .0057785
         91  |  -.0005152   .0023823    -0.22   0.829    -.0052173    .0041869
         92  |   .0044205   .0026495     1.67   0.097     -.000809    .0096501
         93  |  -.0057761   .0026495    -2.18   0.031    -.0110056   -.0005465
         94  |   .0055119   .0017343     3.18   0.002     .0020889     .008935
         95  |   .0154963   .0020746     7.47   0.000     .0114016     .019591
        100  |   .0120369   .0017343     6.94   0.000     .0086138      .01546
        101  |  -.0205513   .0014843   -13.85   0.000    -.0234811   -.0176216
        110  |  -.0302905   .0025249   -12.00   0.000    -.0352742   -.0253069
        130  |   .0127422   .0022274     5.72   0.000     .0083459    .0171385
        135  |  -.0006722   .0018125    -0.37   0.711    -.0042496    .0029052
        140  |    .013882   .0023201     5.98   0.000     .0093027    .0184613
        145  |   .0148416   .0026242     5.66   0.000      .009662    .0200212
        150  |  -.0140153   .0021171    -6.62   0.000     -.018194   -.0098366
        155  |   .0282595   .0018829    15.01   0.000      .024543    .0319759
        160  |  -.0070473   .0022181    -3.18   0.002    -.0114253   -.0026692
        165  |   .0145271   .0019274     7.54   0.000     .0107229    .0183312
        200  |   .0048128   .0017343     2.78   0.006     .0013897    .0082359
        205  |   .0257274   .0017343    14.83   0.000     .0223043    .0291505
        210  |   .0153487   .0017343     8.85   0.000     .0119256    .0187717
        211  |   .0021625   .0017343     1.25   0.214    -.0012606    .0055855
        220  |   .0023684   .0017343     1.37   0.174    -.0010547    .0057915
        225  |   .0205046   .0017343    11.82   0.000     .0170815    .0239277
        230  |   .0262176    .002561    10.24   0.000     .0211627    .0312725
        235  |   .0066786   .0025358     2.63   0.009     .0016734    .0116837
        255  |   .0110348   .0026241     4.21   0.000     .0058554    .0162143
        260  |    .008359   .0033918     2.46   0.015     .0016643    .0150537
        265  |  -.0265523   .0033918    -7.83   0.000     -.033247   -.0198576
        290  |   -.009347   .0026179    -3.57   0.000    -.0145141   -.0041799
        305  |   .0259578   .0017343    14.97   0.000     .0225348    .0293809
        310  |  -.0069643   .0026021    -2.68   0.008    -.0121002   -.0018284
        315  |  -.0292098   .0033621    -8.69   0.000    -.0358458   -.0225739
        316  |   .0175469   .0029779     5.89   0.000     .0116693    .0234245
        317  |   .0640066   .0029779    21.49   0.000      .058129    .0698842
        325  |  -.0011263   .0017343    -0.65   0.517    -.0045494    .0022968
        339  |  -.0366604   .0025232   -14.53   0.000    -.0416407   -.0316801
        342  |   .1956002   .0106553    18.36   0.000      .174569    .2166314
        343  |   .0742285   .0027582    26.91   0.000     .0687844    .0796726
        344  |   .0036581   .0046375     0.79   0.431    -.0054953    .0128115
        345  |   -.037262   .0032708   -11.39   0.000    -.0437177   -.0308063
        346  |   .0058062   .0027582     2.11   0.037     .0003621    .0112503
        347  |   -.106748    .005155   -20.71   0.000    -.1169227   -.0965732
        348  |   .5425831   .0106553    50.92   0.000     .5215519    .5636143
        349  |    .032786   .0027582    11.89   0.000     .0273419    .0382302
        350  |    .000321   .0020232     0.16   0.874    -.0036723    .0043142
        352  |   .0346373    .002561    13.52   0.000     .0295824    .0396922
        355  |  -.0152272   .0026021    -5.85   0.000    -.0203631   -.0100913
        359  |    .025647   .0027582     9.30   0.000     .0202029    .0310911
        360  |  -.0167518   .0025831    -6.49   0.000    -.0218502   -.0116533
        364  |  -.0312339   .0032708    -9.55   0.000    -.0376896   -.0247782
        365  |   .0204208   .0030907     6.61   0.000     .0143206     .026521
        366  |   .0937781   .0027582    34.00   0.000      .088334    .0992223
        367  |   .0780767   .0033577    23.25   0.000     .0714493    .0847041
        368  |   .0474901   .0030429    15.61   0.000     .0414841     .053496
        369  |   .0513378   .0027582    18.61   0.000     .0458937    .0567819
        370  |   .0239616   .0025461     9.41   0.000     .0189361    .0289871
        371  |   .0775847   .0027582    28.13   0.000     .0721406    .0830288
        372  |   .0914799   .0041894    21.84   0.000     .0832109    .0997488
        373  |   .0441732   .0027582    16.02   0.000     .0387291    .0496173
        375  |   .0283214   .0017343    16.33   0.000     .0248983    .0317445
        380  |  -.0072049   .0017343    -4.15   0.000    -.0106279   -.0037818
        385  |   .0113087   .0017343     6.52   0.000     .0078856    .0147318
        390  |   .0161624   .0017343     9.32   0.000     .0127393    .0195855
        404  |  -.0335549   .0014234   -23.57   0.000    -.0363645   -.0307454
        411  |  -.0207556   .0013415   -15.47   0.000    -.0234034   -.0181078
        420  |   .0008366   .0011368     0.74   0.463    -.0014072    .0030803
        432  |  -.0088596    .002561    -3.46   0.001    -.0139145   -.0038047
        433  |  -.0019661   .0022736    -0.86   0.388    -.0064537    .0025216
        434  |  -.0030101   .0025831    -1.17   0.245    -.0081086    .0020884
        435  |  -.0149454   .0017343    -8.62   0.000    -.0183684   -.0115223
        436  |   -.005176   .0024135    -2.14   0.033    -.0099397   -.0004123
        437  |  -.0241524   .0017343   -13.93   0.000    -.0275755   -.0207293
        438  |  -.0235547   .0017343   -13.58   0.000    -.0269778   -.0201316
        439  |   .0057439   .0017343     3.31   0.001     .0023208     .009167
        450  |  -.0434547   .0019363   -22.44   0.000    -.0472765   -.0396329
        451  |  -.0207133   .0017533   -11.81   0.000     -.024174   -.0172527
        452  |   -.016056   .0022922    -7.00   0.000    -.0205802   -.0115317
        461  |  -.0222248   .0017343   -12.82   0.000    -.0256479   -.0188018
        471  |  -.0069074   .0017343    -3.98   0.000    -.0103304   -.0034843
        475  |  -.0178184   .0013475   -13.22   0.000    -.0204781   -.0151588
        481  |  -.0144563   .0017343    -8.34   0.000    -.0178794   -.0110332
        482  |  -.0304888   .0021354   -14.28   0.000    -.0347036    -.026274
        483  |  -.0210162   .0017343   -12.12   0.000    -.0244393   -.0175932
        484  |  -.0235914   .0015409   -15.31   0.000    -.0266329   -.0205499
        490  |  -.0258391   .0017343   -14.90   0.000    -.0292621    -.022416
        500  |  -.0091367   .0016091    -5.68   0.000    -.0123128   -.0059607
        501  |   .0014823   .0021238     0.70   0.486    -.0027097    .0056742
        510  |  -.0116644   .0016987    -6.87   0.000    -.0150172   -.0083116
        516  |   -.010516   .0019548    -5.38   0.000    -.0143744   -.0066576
        517  |   .0020737   .0017343     1.20   0.233    -.0013494    .0054967
        520  |  -.0650732   .0012582   -51.72   0.000    -.0675566   -.0625898
        522  |  -.0560139   .0014346   -39.05   0.000    -.0588454   -.0531824
        529  |   .0382717   .0028483    13.44   0.000     .0326498    .0438935
        530  |  -.0108993   .0031334    -3.48   0.001    -.0170838   -.0047147
        531  |  -.0615036   .0029779   -20.65   0.000    -.0673812    -.055626
        540  |  -.0156074   .0013118   -11.90   0.000    -.0181965   -.0130182
        541  |  -.0218675   .0019496   -11.22   0.000    -.0257156   -.0180194
        551  |  -.0248252   .0016496   -15.05   0.000    -.0280812   -.0215692
        552  |  -.0263328   .0012875   -20.45   0.000     -.028874   -.0237915
        553  |  -.0144109    .002489    -5.79   0.000    -.0193236   -.0094982
        560  |  -.0008531   .0025075    -0.34   0.734    -.0058024    .0040962
        565  |  -.0156791   .0026241    -5.97   0.000    -.0208585   -.0104996
        570  |   .0185615   .0020603     9.01   0.000      .014495    .0226281
        571  |   .0497749   .0014535    34.24   0.000     .0469059    .0526438
        572  |  -.0074905   .0013415    -5.58   0.000    -.0101384   -.0048427
        580  |  -.0019285   .0025358    -0.76   0.448    -.0069337    .0030766
        581  |  -.0299744   .0017295   -17.33   0.000    -.0333881   -.0265608
        590  |   .0234371   .0013415    17.47   0.000     .0207892    .0260849
        600  |   .0058577   .0017343     3.38   0.001     .0024346    .0092808
        615  |     .00022   .0016594     0.13   0.895    -.0030551    .0034952
        616  |  -.0005264   .0017343    -0.30   0.762    -.0039495    .0028966
        620  |  -.0250502   .0017343   -14.44   0.000    -.0284733   -.0216272
        625  |  -.0232041   .0015628   -14.85   0.000    -.0262887   -.0201195
        630  |  -.0104241   .0017343    -6.01   0.000    -.0138472    -.007001
        640  |   .0022605     .00183     1.24   0.218    -.0013514    .0058725
        645  |   -.053478   .0017343   -30.84   0.000     -.056901   -.0500549
        651  |  -.0027963   .0017343    -1.61   0.109    -.0062194    .0006268
        652  |  -.0086955   .0017343    -5.01   0.000    -.0121185   -.0052724
        660  |   .0037563   .0015793     2.38   0.018     .0006391    .0068735
        663  |   .0020369   .0017343     1.17   0.242    -.0013862    .0054599
        666  |  -.0019253   .0017343    -1.11   0.268    -.0053484    .0014977
        670  |   .0027703   .0017343     1.60   0.112    -.0006528    .0061934
        678  |   .0213681   .0033918     6.30   0.000     .0146734    .0280628
        679  |  -.0238814   .0026241    -9.10   0.000    -.0290608   -.0187019
        680  |   .0003904   .0033949     0.11   0.909    -.0063103    .0070912
        690  |  -.0151976   .0016594    -9.16   0.000    -.0184728   -.0119225
        692  |    .009665   .0012304     7.86   0.000     .0072365    .0120936
        694  |  -.0037291   .0012304    -3.03   0.003    -.0061577   -.0013006
        696  |   .0044184   .0012304     3.59   0.000     .0019899     .006847
        698  |   .0439565   .0017343    25.35   0.000     .0405334    .0473796
        700  |  -.0399989   .0017343   -23.06   0.000     -.043422   -.0365759
        701  |  -.0168001   .0027582    -6.09   0.000    -.0222442   -.0113559
        702  |  -.0254589   .0027582    -9.23   0.000     -.030903   -.0200147
        703  |  -.0239465   .0027582    -8.68   0.000    -.0293906   -.0185023
        704  |   .0001953   .0027582     0.07   0.944    -.0052488    .0056395
        705  |   .0979765   .0027582    35.52   0.000     .0925323    .1034206
        710  |  -.0015369   .0017343    -0.89   0.377      -.00496    .0018862
        712  |  -.0201483   .0026021    -7.74   0.000    -.0252842   -.0150124
        713  |   .0024871   .0024416     1.02   0.310    -.0023321    .0073064
        731  |  -.0244474   .0017343   -14.10   0.000    -.0278704   -.0210243
        732  |   .0126627   .0025547     4.96   0.000     .0076202    .0177051
        740  |   .0066389   .0017343     3.83   0.000     .0032158     .010062
        750  |   .0024254   .0017343     1.40   0.164    -.0009977    .0058485
        760  |  -.0014207   .0017343    -0.82   0.414    -.0048437    .0020024
        769  |   .0189411   .0044208     4.28   0.000     .0102154    .0276668
        770  |  -.0107156   .0008669   -12.36   0.000    -.0124267   -.0090045
        771  |   .0080812   .0022148     3.65   0.000     .0037097    .0124528
        775  |  -.0046935   .0016014    -2.93   0.004    -.0078544   -.0015326
        780  |   .0125594   .0017544     7.16   0.000     .0090966    .0160223
        790  |  -.0090524   .0021997    -4.12   0.000    -.0133941   -.0047107
        800  |     .01807   .0023792     7.60   0.000      .013374    .0227659
        811  |  -.0251665   .0017343   -14.51   0.000    -.0285896   -.0217434
        812  |  -.0100649   .0017343    -5.80   0.000    -.0134879   -.0066418
        816  |  -.0771795   .0044653   -17.28   0.000    -.0859931    -.068366
        817  |  -.0035382   .0045283    -0.78   0.436     -.012476    .0053997
        818  |   .0028514   .0013667     2.09   0.038     .0001538    .0055491
        820  |   .0168857   .0017343     9.74   0.000     .0134627    .0203088
        830  |   .0629144   .0017343    36.28   0.000     .0594913    .0663375
        840  |   .0002141   .0023015     0.09   0.926    -.0043285    .0047567
        850  |   .0064989   .0023201     2.80   0.006     .0019196    .0110782
        860  |   .0321678   .0052194     6.16   0.000     .0218659    .0424697
        900  |   .0147385   .0017343     8.50   0.000     .0113154    .0181616
        910  |   -.028415   .0013118   -21.66   0.000    -.0310042   -.0258259
        920  |   .0267059   .0017343    15.40   0.000     .0232828     .030129
        940  |  -.0385605    .001114   -34.61   0.000    -.0407594   -.0363616
        950  |          0  (omitted)
             |
        year |
       1962  |   .0548957    .010233     5.36   0.000     .0346982    .0750932
       1963  |   .1025376   .0209522     4.89   0.000     .0611829    .1438924
       1964  |   .1440578   .0214057     6.73   0.000     .1018079    .1863078
       1965  |   .1928339   .0258776     7.45   0.000     .1417575    .2439103
       1966  |   .2231439   .0288035     7.75   0.000     .1662925    .2799954
       1967  |   .2594989   .0303547     8.55   0.000     .1995856    .3194121
       1968  |   .2805904   .0335366     8.37   0.000     .2143968     .346784
       1969  |   .3095391    .037918     8.16   0.000     .2346977    .3843806
       1970  |   .3763388   .0395457     9.52   0.000     .2982845     .454393
       1971  |   .4523284   .0449964    10.05   0.000     .3635158     .541141
       1972  |   .5143415   .0510908    10.07   0.000     .4134999     .615183
       1973  |   .5941396   .0534355    11.12   0.000     .4886701     .699609
       1974  |   .6724695   .0561404    11.98   0.000     .5616612    .7832778
       1975  |   .7136025   .0596296    11.97   0.000     .5959073    .8312977
       1976  |   .7848151   .0631681    12.42   0.000     .6601357    .9094945
       1977  |   .8482658   .0658633    12.88   0.000     .7182667    .9782648
       1978  |   .9024151   .0672688    13.42   0.000     .7696419    1.035188
       1979  |   .9484666    .072921    13.01   0.000     .8045372    1.092396
       1980  |   1.032875   .0729007    14.17   0.000     .8889859    1.176764
       1981  |   1.083624    .075905    14.28   0.000     .9338052    1.233443
       1982  |   1.023562   .0771579    13.27   0.000     .8712699    1.175854
       1983  |   1.048597   .0780313    13.44   0.000      .894581    1.202613
       1984  |    1.04807   .0797891    13.14   0.000     .8905848    1.205556
       1985  |   1.024897   .0822115    12.47   0.000     .8626306    1.187164
       1986  |   1.034145   .0855805    12.08   0.000     .8652287    1.203062
       1987  |   1.017226   .0855623    11.89   0.000     .8483452    1.186106
       1988  |   1.045809   .0865809    12.08   0.000     .8749176    1.216699
       1989  |   1.034658   .0889859    11.63   0.000     .8590206    1.210296
       1990  |   1.030045   .0879832    11.71   0.000     .8563867    1.203704
       1991  |   .9923482   .0833061    11.91   0.000      .827921    1.156775
       1992  |   .9740302   .0824567    11.81   0.000     .8112795    1.136781
       1993  |    .968342    .080008    12.10   0.000     .8104246    1.126259
       1994  |   1.004919   .0819533    12.26   0.000     .8431619    1.166676
       1995  |    1.07482   .0805204    13.35   0.000     .9158909    1.233748
       1996  |   1.095741   .0811666    13.50   0.000     .9355371    1.255946
       1997  |   1.078079   .0811156    13.29   0.000     .9179754    1.238183
       1998  |   1.075702   .0810233    13.28   0.000     .9157807    1.235624
       1999  |   1.010711   .0816219    12.38   0.000     .8496076    1.171814
       2000  |   1.071838    .084119    12.74   0.000     .9058069     1.23787
       2001  |   1.050051   .0844833    12.43   0.000     .8833002    1.216802
       2002  |   1.045089   .0835891    12.50   0.000      .880103    1.210075
       2003  |   1.035059   .0831156    12.45   0.000     .8710081     1.19911
       2004  |   .9900839   .0821373    12.05   0.000     .8279636    1.152204
       2005  |   .9978211    .082564    12.09   0.000     .8348587    1.160784
       2006  |   1.030076   .0843569    12.21   0.000     .8635745    1.196577
       2007  |   1.019416   .0853277    11.95   0.000     .8509988    1.187834
       2008  |   1.014188    .087316    11.62   0.000     .8418456    1.186529
       2009  |   .9715388    .087196    11.14   0.000     .7994338    1.143644
             |
       ccode |
         20  |  -6.432436   1.44e-08 -4.5e+08   0.000    -6.432436   -6.432436
         40  |   37.66084   .0330513  1139.47   0.000      37.5956    37.72607
         41  |   78.68864   .0330513  2380.80   0.000      78.6234    78.75388
         42  |   .0712173   .8676476     0.08   0.935    -1.641321    1.783755
         51  |   6.641207   1.44e-08  4.6e+08   0.000     6.641207    6.641207
         52  |  -34.40262    .318463  -108.03   0.000     -35.0312   -33.77405
         70  |  -1.732693   1.232005    -1.41   0.161    -4.164388    .6990027
         90  |  -4.325678   .4197854   -10.30   0.000    -5.154239   -3.497118
         91  |   .6351514   1.451476     0.44   0.662    -2.229729    3.500032
         92  |   -8.98401   2.024562    -4.44   0.000    -12.98003   -4.987988
         93  |   11.36767   2.024562     5.61   0.000     7.371648    15.36369
         94  |  -10.76045   1.44e-08 -7.5e+08   0.000    -10.76045   -10.76045
         95  |  -30.63853   .7853903   -39.01   0.000    -32.18871   -29.08835
        100  |  -23.74927   1.44e-08 -1.7e+09   0.000    -23.74927   -23.74927
        101  |   41.19842   .5998139    68.69   0.000     40.01453    42.38232
        110  |   60.15673   2.249368    26.74   0.000       55.717    64.59647
        130  |  -25.29787   1.117421   -22.64   0.000     -27.5034   -23.09233
        135  |   1.454905    .196942     7.39   0.000     1.066187    1.843624
        140  |  -27.23442    1.31556   -20.70   0.000    -29.83104   -24.63781
        145  |   -29.7068   1.968982   -15.09   0.000    -33.59312   -25.82048
        150  |   27.80034   .8926048    31.15   0.000     26.03854    29.56214
        155  |   -55.2691   .3528903  -156.62   0.000    -55.96562   -54.57257
        160  |   14.22427   1.094639    12.99   0.000      12.0637    16.38483
        165  |  -28.15318   .4499363   -62.57   0.000    -29.04125   -27.26511
        200  |   -7.70202   1.44e-08 -5.4e+08   0.000     -7.70202    -7.70202
        205  |  -49.57511   1.44e-08 -3.4e+09   0.000    -49.57511   -49.57511
        210  |  -28.81612   1.44e-08 -2.0e+09   0.000    -28.81612   -28.81612
        211  |  -2.591603   1.44e-08 -1.8e+08   0.000    -2.591603   -2.591603
        220  |  -3.035735   1.44e-08 -2.1e+08   0.000    -3.035735   -3.035735
        225  |  -39.05921   1.44e-08 -2.7e+09   0.000    -39.05921   -39.05921
        230  |  -51.08337   1.832392   -27.88   0.000    -54.70009   -47.46665
        235  |  -12.28328   1.778161    -6.91   0.000    -15.79296   -8.773595
        255  |  -20.67377   5.655491    -3.66   0.000    -31.83642   -9.511126
        260  |  -15.14774    3.92994    -3.85   0.000    -22.90454    -7.39094
        265  |   53.55969    3.93726    13.60   0.000     45.78844    61.33094
        290  |   19.36192   1.960989     9.87   0.000     15.49138    23.23246
        305  |  -50.13765   1.44e-08 -3.5e+09   0.000    -50.13765   -50.13765
        310  |   14.83742    1.92819     7.69   0.000     11.03161    18.64322
        315  |   58.80295   3.627498    16.21   0.000     51.64309     65.9628
        316  |  -34.29642   6.247949    -5.49   0.000    -46.62844   -21.96439
        317  |  -127.2554   6.247949   -20.37   0.000    -139.5874   -114.9234
        325  |   3.482088   1.44e-08  2.4e+08   0.000     3.482088    3.482088
        339  |   73.32045   1.762849    41.59   0.000     69.84099    76.79991
        342  |   -392.484   21.65714   -18.12   0.000    -435.2303   -349.7378
        343  |  -148.5499   5.828277   -25.49   0.000    -160.0536   -137.0463
        344  |  -6.484209   7.557381    -0.86   0.392    -21.40075    8.432332
        345  |    74.0693   3.676268    20.15   0.000     66.81319    81.32541
        346  |   -11.9314    5.82449    -2.05   0.042    -23.42761   -.4351869
        347  |   213.1303   8.508792    25.05   0.000     196.3359    229.9247
        348  |  -1089.721   21.65714   -50.32   0.000    -1132.467   -1046.975
        349  |  -64.46472   5.828277   -11.06   0.000    -75.96841   -52.96104
        350  |   .5435613   .6607902     0.82   0.412    -.7606876     1.84781
        352  |  -67.65076   1.832392   -36.92   0.000    -71.26749   -64.03404
        355  |   31.14198    1.92819    16.15   0.000     27.33617    34.94778
        359  |  -51.74987   5.828277    -8.88   0.000    -63.25356   -40.24619
        360  |   33.80868   1.888697    17.90   0.000     30.08082    37.53653
        364  |   62.99988   3.676268    17.14   0.000     55.74377      70.256
        365  |  -40.54066   8.655559    -4.68   0.000    -57.62475   -23.45656
        366  |  -187.0274   5.828277   -32.09   0.000    -198.5311   -175.5237
        367  |   -156.024   5.979947   -26.09   0.000    -167.8271    -144.221
        368  |  -94.50078   5.807658   -16.27   0.000    -105.9638   -83.03779
        369  |  -102.9007   5.828277   -17.66   0.000    -114.4044   -91.39702
        370  |  -47.58787   6.884224    -6.91   0.000    -61.17576   -33.99999
        371  |  -155.2459    5.82449   -26.65   0.000    -166.7421   -143.7497
        372  |  -183.3481   6.910205   -26.53   0.000    -196.9872   -169.7089
        373  |  -88.48135    5.82449   -15.19   0.000    -99.97757   -76.98514
        375  |   -54.5557   1.44e-08 -3.8e+09   0.000     -54.5557    -54.5557
        380  |   16.11099   1.44e-08  1.1e+09   0.000     16.11099    16.11099
        385  |  -20.73777   1.44e-08 -1.4e+09   0.000    -20.73777   -20.73777
        390  |  -30.38361   1.44e-08 -2.1e+09   0.000    -30.38361   -30.38361
        404  |   66.09515   2.683884    24.63   0.000     60.79778    71.39253
        411  |   40.34369   1.404791    28.72   0.000     37.57096    43.11643
        420  |  -2.498564   1.238137    -2.02   0.045    -4.942365   -.0547642
        432  |   16.70304    1.84251     9.07   0.000     13.06635    20.33974
        433  |   3.393816   1.232005     2.75   0.007     .9621201    5.825511
        434  |    5.01422   1.888697     2.65   0.009     1.286364    8.742077
        435  |   29.14043   .0330513   881.67   0.000     29.07519    29.20566
        436  |   9.255079   1.530563     6.05   0.000     6.234098    12.27606
        437  |   47.42939   .0330513  1435.02   0.000     47.36415    47.49462
        438  |   46.11006   .0330513  1395.11   0.000     46.04482    46.17529
        439  |  -12.24529   .0330513  -370.49   0.000    -12.31053   -12.18006
        450  |   85.40958   .4929536   173.26   0.000      84.4366    86.38256
        451  |   40.24627   .2075788   193.88   0.000     39.83656    40.65598
        452  |   31.30086   1.267451    24.70   0.000      28.7992    33.80252
        461  |    43.3087   .0330513  1310.35   0.000     43.24346    43.37393
        471  |   13.23941   .0330513   400.57   0.000     13.17418    13.30465
        475  |   34.63828   .9310185    37.20   0.000     32.80067     36.4759
        481  |   28.77184   .0330513   870.52   0.000      28.7066    28.83707
        482  |   59.42717   .9300742    63.90   0.000     57.59141    61.26292
        483  |   40.55039   .0330513  1226.89   0.000     40.48515    40.61562
        484  |   46.44636   .4308981   107.79   0.000     45.59587    47.29686
        490  |   50.22425   .0330513  1519.58   0.000     50.15902    50.28949
        500  |   17.32633   .3378371    51.29   0.000     16.65952    17.99314
        501  |  -3.305886   1.164557    -2.84   0.005    -5.604455   -1.007317
        510  |   22.50504   .1579656   142.47   0.000     22.19325    22.81682
        516  |   19.81713   .7228357    27.42   0.000     18.39041    21.24384
        517  |   -4.92988   .0330513  -149.16   0.000    -4.995116   -4.864644
        520  |   127.7705   1.178043   108.46   0.000     125.4453    130.0957
        522  |   111.5135   3.396801    32.83   0.000      104.809     118.218
        529  |  -77.45635   5.987588   -12.94   0.000    -89.27448   -65.63822
        530  |   20.93507   3.392678     6.17   0.000      14.2387    27.63144
        531  |   122.5958    6.24508    19.63   0.000     110.2695    134.9222
        540  |   30.86906   2.961625    10.42   0.000     25.02349    36.71463
        541  |   42.77167   2.968997    14.41   0.000     36.91155    48.63179
        551  |   49.21029   .6475303    76.00   0.000     47.93221    50.48837
        552  |   52.36643   1.626914    32.19   0.000     49.15528    55.57759
        553  |   27.99441   1.974644    14.18   0.000     24.09691     31.8919
        560  |    2.55688   1.730051     1.48   0.141    -.8578453    5.971604
        565  |   31.68008   5.650922     5.61   0.000     20.52646    42.83371
        570  |  -37.31487   1.468006   -25.42   0.000    -40.21238   -34.41736
        571  |  -98.85905   1.006341   -98.24   0.000    -100.8453   -96.87276
        572  |   14.58402   1.404791    10.38   0.000     11.81128    17.35676
        580  |   2.895268   1.789628     1.62   0.108    -.6370473    6.427584
        581  |   58.27908   2.892331    20.15   0.000     52.57028    63.98788
        590  |  -46.84799   1.411867   -33.18   0.000    -49.63469   -44.06129
        600  |  -11.53234   .0330513  -348.92   0.000    -11.59757    -11.4671
        615  |  -.2968418   .3167233    -0.94   0.350    -.9219813    .3282976
        616  |   1.275007   .0330513    38.58   0.000     1.209771    1.340243
        620  |   50.00587   .0330513  1512.98   0.000     49.94063     50.0711
        625  |   45.27211   .3800396   119.12   0.000       44.522    46.02223
        630  |   21.13866   .0330513   639.57   0.000     21.07342    21.20389
        640  |  -3.729188   .2236191   -16.68   0.000    -4.170561   -3.287815
        645  |   106.2514   .0330513  3214.74   0.000     106.1862    106.3167
        651  |   6.024469   .0330513   182.28   0.000     5.959233    6.089704
        652  |   17.60992   .0330513   532.81   0.000     17.54469    17.67516
        660  |  -7.399874    .338523   -21.86   0.000    -8.068041   -6.731707
        663  |  -3.333406   .0330513  -100.86   0.000    -3.398641    -3.26817
        666  |   5.609295   1.44e-08  3.9e+08   0.000     5.609295    5.609295
        670  |  -4.680295   .0330513  -141.61   0.000    -4.745531   -4.615059
        678  |   -42.5498    3.93726   -10.81   0.000    -50.32105   -34.77855
        679  |   47.19528   5.650922     8.35   0.000     36.04165    58.34891
        680  |  -.6204539   4.365164    -0.14   0.887     -9.23629    7.995382
        690  |   31.71152   .3167233   100.12   0.000     31.08638    32.33666
        692  |  -18.18956   2.068721    -8.79   0.000    -22.27275   -14.10638
        694  |   8.819792   2.068721     4.26   0.000      4.73661    12.90297
        696  |  -7.310519   2.068721    -3.53   0.001     -11.3937   -3.227337
        698  |   -86.4724   .0330513 -2616.31   0.000    -86.53764   -86.40717
        700  |   78.02138   .0330513  2360.61   0.000     77.95614    78.08661
        701  |   33.10606    5.82449     5.68   0.000     21.60985    44.60227
        702  |   50.02373    5.82449     8.59   0.000     38.52752    61.51994
        703  |   47.38336    5.82449     8.14   0.000     35.88714    58.87957
        704  |  -1.159439    5.82449    -0.20   0.842    -12.65565    10.33677
        705  |  -195.9458    5.82449   -33.64   0.000    -207.4421   -184.4496
        710  |   3.289597   .0330513    99.53   0.000     3.224361    3.354832
        712  |   40.46399    1.92819    20.99   0.000     36.65818    44.26979
        713  |   -3.86109   1.590814    -2.43   0.016    -7.000993   -.7211875
        731  |   49.07799   .0330513  1484.90   0.000     49.01276    49.14323
        732  |  -23.95159   1.825748   -13.12   0.000     -27.5552   -20.34798
        740  |  -11.75888   1.44e-08 -8.2e+08   0.000    -11.75888   -11.75888
        750  |  -4.869438   1.44e-08 -3.4e+08   0.000    -4.869438   -4.869438
        760  |   2.452994   .0330513    74.22   0.000     2.387758     2.51823
        769  |  -37.37764   7.028373    -5.32   0.000    -51.25004   -23.50524
        770  |   21.14481   2.562081     8.25   0.000     16.08785    26.20177
        771  |  -16.87766    2.49662    -6.76   0.000    -21.80542   -11.94991
        775  |    8.79817   .2829429    31.10   0.000     8.239706    9.356635
        780  |  -25.10188   .0563053  -445.82   0.000    -25.21302   -24.99075
        790  |   17.22876   1.069311    16.11   0.000     15.11818    19.33933
        800  |    -35.476   1.450177   -24.46   0.000    -38.33832   -32.61368
        811  |   49.13132   .0330513  1486.52   0.000     49.06608    49.19656
        812  |     19.511   .0330513   590.32   0.000     19.44576    19.57623
        816  |   151.3347    6.35371    23.82   0.000     138.7939    163.8754
        817  |   7.408419   6.604138     1.12   0.264     -5.62664    20.44348
        818  |  -5.701836   3.178954    -1.79   0.075    -11.97636    .5726918
        820  |  -32.62784   .0330513  -987.19   0.000    -32.69308   -32.56261
        830  |  -123.4594   .0330513 -3735.38   0.000    -123.5246   -123.3942
        840  |  -.3936508    1.27944    -0.31   0.759    -2.918973    2.131671
        850  |  -12.92851   1.331749    -9.71   0.000    -15.55708   -10.29994
        860  |  -65.92291   10.58072    -6.23   0.000    -86.80684   -45.03898
        900  |  -27.27662   1.44e-08 -1.9e+09   0.000    -27.27662   -27.27662
        910  |   56.22562    2.96943    18.93   0.000     50.36465     62.0866
        920  |   -51.2141   1.44e-08 -3.6e+09   0.000     -51.2141    -51.2141
        940  |   75.23234   4.241719    17.74   0.000     66.86016    83.60453
        950  |  -.0008641   3.438757    -0.00   1.000    -6.788184    6.786456
             |
       _cons |   -1.01992   3.358902    -0.30   0.762    -7.649626    5.609785
------------------------------------------------------------------------------

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons
output/out.xml
dir : seeout

. predict Cap_td1, xb
(167 missing values generated)

. 
. reg Capacity demo_l1 (c.year c.year2)#i.ccode i.year i.ccode, cl(ccode)
note: 950.ccode#c.year omitted because of collinearity
note: 2b.ccode#c.year2 omitted because of collinearity
note: 20.ccode#c.year2 omitted because of collinearity
note: 40.ccode#c.year2 omitted because of collinearity
note: 41.ccode#c.year2 omitted because of collinearity
note: 42.ccode#c.year2 omitted because of collinearity
note: 51.ccode#c.year2 omitted because of collinearity
note: 52.ccode#c.year2 omitted because of collinearity
note: 70.ccode#c.year2 omitted because of collinearity
note: 90.ccode#c.year2 omitted because of collinearity
note: 91.ccode#c.year2 omitted because of collinearity
note: 92.ccode#c.year2 omitted because of collinearity
note: 93.ccode#c.year2 omitted because of collinearity
note: 94.ccode#c.year2 omitted because of collinearity
note: 95.ccode#c.year2 omitted because of collinearity
note: 100.ccode#c.year2 omitted because of collinearity
note: 101.ccode#c.year2 omitted because of collinearity
note: 110.ccode#c.year2 omitted because of collinearity
note: 130.ccode#c.year2 omitted because of collinearity
note: 135.ccode#c.year2 omitted because of collinearity
note: 140.ccode#c.year2 omitted because of collinearity
note: 145.ccode#c.year2 omitted because of collinearity
note: 150.ccode#c.year2 omitted because of collinearity
note: 155.ccode#c.year2 omitted because of collinearity
note: 160.ccode#c.year2 omitted because of collinearity
note: 165.ccode#c.year2 omitted because of collinearity
note: 200.ccode#c.year2 omitted because of collinearity
note: 205.ccode#c.year2 omitted because of collinearity
note: 210.ccode#c.year2 omitted because of collinearity
note: 211.ccode#c.year2 omitted because of collinearity
note: 220.ccode#c.year2 omitted because of collinearity
note: 225.ccode#c.year2 omitted because of collinearity
note: 230.ccode#c.year2 omitted because of collinearity
note: 235.ccode#c.year2 omitted because of collinearity
note: 255.ccode#c.year2 omitted because of collinearity
note: 260.ccode#c.year2 omitted because of collinearity
note: 265.ccode#c.year2 omitted because of collinearity
note: 290.ccode#c.year2 omitted because of collinearity
note: 305.ccode#c.year2 omitted because of collinearity
note: 310.ccode#c.year2 omitted because of collinearity
note: 315.ccode#c.year2 omitted because of collinearity
note: 316.ccode#c.year2 omitted because of collinearity
note: 317.ccode#c.year2 omitted because of collinearity
note: 325.ccode#c.year2 omitted because of collinearity
note: 339.ccode#c.year2 omitted because of collinearity
note: 342.ccode#c.year2 omitted because of collinearity
note: 343.ccode#c.year2 omitted because of collinearity
note: 344.ccode#c.year2 omitted because of collinearity
note: 345.ccode#c.year2 omitted because of collinearity
note: 346.ccode#c.year2 omitted because of collinearity
note: 347.ccode#c.year2 omitted because of collinearity
note: 348.ccode#c.year2 omitted because of collinearity
note: 349.ccode#c.year2 omitted because of collinearity
note: 350.ccode#c.year2 omitted because of collinearity
note: 352.ccode#c.year2 omitted because of collinearity
note: 355.ccode#c.year2 omitted because of collinearity
note: 359.ccode#c.year2 omitted because of collinearity
note: 360.ccode#c.year2 omitted because of collinearity
note: 364.ccode#c.year2 omitted because of collinearity
note: 365.ccode#c.year2 omitted because of collinearity
note: 366.ccode#c.year2 omitted because of collinearity
note: 367.ccode#c.year2 omitted because of collinearity
note: 368.ccode#c.year2 omitted because of collinearity
note: 369.ccode#c.year2 omitted because of collinearity
note: 370.ccode#c.year2 omitted because of collinearity
note: 371.ccode#c.year2 omitted because of collinearity
note: 372.ccode#c.year2 omitted because of collinearity
note: 373.ccode#c.year2 omitted because of collinearity
note: 375.ccode#c.year2 omitted because of collinearity
note: 380.ccode#c.year2 omitted because of collinearity
note: 385.ccode#c.year2 omitted because of collinearity
note: 390.ccode#c.year2 omitted because of collinearity
note: 404.ccode#c.year2 omitted because of collinearity
note: 411.ccode#c.year2 omitted because of collinearity
note: 420.ccode#c.year2 omitted because of collinearity
note: 432.ccode#c.year2 omitted because of collinearity
note: 433.ccode#c.year2 omitted because of collinearity
note: 434.ccode#c.year2 omitted because of collinearity
note: 435.ccode#c.year2 omitted because of collinearity
note: 436.ccode#c.year2 omitted because of collinearity
note: 437.ccode#c.year2 omitted because of collinearity
note: 438.ccode#c.year2 omitted because of collinearity
note: 439.ccode#c.year2 omitted because of collinearity
note: 450.ccode#c.year2 omitted because of collinearity
note: 451.ccode#c.year2 omitted because of collinearity
note: 452.ccode#c.year2 omitted because of collinearity
note: 461.ccode#c.year2 omitted because of collinearity
note: 471.ccode#c.year2 omitted because of collinearity
note: 475.ccode#c.year2 omitted because of collinearity
note: 481.ccode#c.year2 omitted because of collinearity
note: 482.ccode#c.year2 omitted because of collinearity
note: 483.ccode#c.year2 omitted because of collinearity
note: 484.ccode#c.year2 omitted because of collinearity
note: 490.ccode#c.year2 omitted because of collinearity
note: 500.ccode#c.year2 omitted because of collinearity
note: 501.ccode#c.year2 omitted because of collinearity
note: 510.ccode#c.year2 omitted because of collinearity
note: 516.ccode#c.year2 omitted because of collinearity
note: 517.ccode#c.year2 omitted because of collinearity
note: 520.ccode#c.year2 omitted because of collinearity
note: 522.ccode#c.year2 omitted because of collinearity
note: 529.ccode#c.year2 omitted because of collinearity
note: 530.ccode#c.year2 omitted because of collinearity
note: 531.ccode#c.year2 omitted because of collinearity
note: 540.ccode#c.year2 omitted because of collinearity
note: 541.ccode#c.year2 omitted because of collinearity
note: 551.ccode#c.year2 omitted because of collinearity
note: 552.ccode#c.year2 omitted because of collinearity
note: 553.ccode#c.year2 omitted because of collinearity
note: 560.ccode#c.year2 omitted because of collinearity
note: 565.ccode#c.year2 omitted because of collinearity
note: 570.ccode#c.year2 omitted because of collinearity
note: 571.ccode#c.year2 omitted because of collinearity
note: 572.ccode#c.year2 omitted because of collinearity
note: 580.ccode#c.year2 omitted because of collinearity
note: 581.ccode#c.year2 omitted because of collinearity
note: 590.ccode#c.year2 omitted because of collinearity
note: 600.ccode#c.year2 omitted because of collinearity
note: 615.ccode#c.year2 omitted because of collinearity
note: 616.ccode#c.year2 omitted because of collinearity
note: 620.ccode#c.year2 omitted because of collinearity
note: 625.ccode#c.year2 omitted because of collinearity
note: 630.ccode#c.year2 omitted because of collinearity
note: 640.ccode#c.year2 omitted because of collinearity
note: 645.ccode#c.year2 omitted because of collinearity
note: 651.ccode#c.year2 omitted because of collinearity
note: 652.ccode#c.year2 omitted because of collinearity
note: 660.ccode#c.year2 omitted because of collinearity
note: 663.ccode#c.year2 omitted because of collinearity
note: 666.ccode#c.year2 omitted because of collinearity
note: 670.ccode#c.year2 omitted because of collinearity
note: 678.ccode#c.year2 omitted because of collinearity
note: 679.ccode#c.year2 omitted because of collinearity
note: 680.ccode#c.year2 omitted because of collinearity
note: 690.ccode#c.year2 omitted because of collinearity
note: 692.ccode#c.year2 omitted because of collinearity
note: 694.ccode#c.year2 omitted because of collinearity
note: 696.ccode#c.year2 omitted because of collinearity
note: 698.ccode#c.year2 omitted because of collinearity
note: 700.ccode#c.year2 omitted because of collinearity
note: 701.ccode#c.year2 omitted because of collinearity
note: 702.ccode#c.year2 omitted because of collinearity
note: 703.ccode#c.year2 omitted because of collinearity
note: 704.ccode#c.year2 omitted because of collinearity
note: 705.ccode#c.year2 omitted because of collinearity
note: 710.ccode#c.year2 omitted because of collinearity
note: 712.ccode#c.year2 omitted because of collinearity
note: 713.ccode#c.year2 omitted because of collinearity
note: 731.ccode#c.year2 omitted because of collinearity
note: 732.ccode#c.year2 omitted because of collinearity
note: 740.ccode#c.year2 omitted because of collinearity
note: 750.ccode#c.year2 omitted because of collinearity
note: 760.ccode#c.year2 omitted because of collinearity
note: 769.ccode#c.year2 omitted because of collinearity
note: 770.ccode#c.year2 omitted because of collinearity
note: 771.ccode#c.year2 omitted because of collinearity
note: 775.ccode#c.year2 omitted because of collinearity
note: 780.ccode#c.year2 omitted because of collinearity
note: 790.ccode#c.year2 omitted because of collinearity
note: 800.ccode#c.year2 omitted because of collinearity
note: 811.ccode#c.year2 omitted because of collinearity
note: 812.ccode#c.year2 omitted because of collinearity
note: 816.ccode#c.year2 omitted because of collinearity
note: 817.ccode#c.year2 omitted because of collinearity
note: 818.ccode#c.year2 omitted because of collinearity
note: 820.ccode#c.year2 omitted because of collinearity
note: 830.ccode#c.year2 omitted because of collinearity
note: 840.ccode#c.year2 omitted because of collinearity
note: 850.ccode#c.year2 omitted because of collinearity
note: 860.ccode#c.year2 omitted because of collinearity
note: 900.ccode#c.year2 omitted because of collinearity
note: 910.ccode#c.year2 omitted because of collinearity
note: 920.ccode#c.year2 omitted because of collinearity
note: 940.ccode#c.year2 omitted because of collinearity
note: 950.ccode#c.year2 omitted because of collinearity

Linear regression                               Number of obs     =      7,019
                                                F(55, 173)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.9286
                                                Root MSE          =     .27368

                                 (Std. Err. adjusted for 174 clusters in ccode)
-------------------------------------------------------------------------------
              |               Robust
     Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      demo_l1 |   .0453874   .0330513     1.37   0.171    -.0198483    .1106231
              |
 ccode#c.year |
           2  |   .0009819   .0017343     0.57   0.572    -.0024411     .004405
          20  |   .0041568   .0017343     2.40   0.018     .0007337    .0075798
          40  |  -.0187976   .0017343   -10.84   0.000    -.0222206   -.0153745
          41  |  -.0401159   .0017343   -23.13   0.000     -.043539   -.0366929
          42  |  -.0001209   .0021171    -0.06   0.955    -.0042996    .0040577
          51  |  -.0032075   .0017343    -1.85   0.066    -.0066306    .0002155
          52  |   .0175188   .0016594    10.56   0.000     .0142436     .020794
          70  |    .000948   .0022736     0.42   0.677    -.0035396    .0054356
          90  |   .0019978   .0019155     1.04   0.298     -.001783    .0057785
          91  |  -.0005152   .0023823    -0.22   0.829    -.0052173    .0041869
          92  |   .0044205   .0026495     1.67   0.097     -.000809    .0096501
          93  |  -.0057761   .0026495    -2.18   0.031    -.0110056   -.0005465
          94  |   .0055119   .0017343     3.18   0.002     .0020889     .008935
          95  |   .0154963   .0020746     7.47   0.000     .0114016     .019591
         100  |   .0120369   .0017343     6.94   0.000     .0086138      .01546
         101  |  -.0205513   .0014843   -13.85   0.000    -.0234811   -.0176216
         110  |  -.0302905   .0025249   -12.00   0.000    -.0352742   -.0253069
         130  |   .0127422   .0022274     5.72   0.000     .0083459    .0171385
         135  |  -.0006722   .0018125    -0.37   0.711    -.0042496    .0029052
         140  |    .013882   .0023201     5.98   0.000     .0093027    .0184613
         145  |   .0148416   .0026242     5.66   0.000      .009662    .0200212
         150  |  -.0140153   .0021171    -6.62   0.000     -.018194   -.0098366
         155  |   .0282595   .0018829    15.01   0.000      .024543    .0319759
         160  |  -.0070473   .0022181    -3.18   0.002    -.0114253   -.0026692
         165  |   .0145271   .0019274     7.54   0.000     .0107229    .0183312
         200  |   .0048128   .0017343     2.78   0.006     .0013897    .0082359
         205  |   .0257274   .0017343    14.83   0.000     .0223043    .0291505
         210  |   .0153487   .0017343     8.85   0.000     .0119256    .0187717
         211  |   .0021625   .0017343     1.25   0.214    -.0012606    .0055855
         220  |   .0023684   .0017343     1.37   0.174    -.0010547    .0057915
         225  |   .0205046   .0017343    11.82   0.000     .0170815    .0239277
         230  |   .0262176    .002561    10.24   0.000     .0211627    .0312725
         235  |   .0066786   .0025358     2.63   0.009     .0016734    .0116837
         255  |   .0110348   .0026241     4.21   0.000     .0058554    .0162143
         260  |    .008359   .0033918     2.46   0.015     .0016643    .0150537
         265  |  -.0265523   .0033918    -7.83   0.000     -.033247   -.0198576
         290  |   -.009347   .0026179    -3.57   0.000    -.0145141   -.0041799
         305  |   .0259578   .0017343    14.97   0.000     .0225348    .0293809
         310  |  -.0069643   .0026021    -2.68   0.008    -.0121002   -.0018284
         315  |  -.0292098   .0033621    -8.69   0.000    -.0358458   -.0225739
         316  |   .0175469   .0029779     5.89   0.000     .0116693    .0234245
         317  |   .0640066   .0029779    21.49   0.000      .058129    .0698842
         325  |  -.0011263   .0017343    -0.65   0.517    -.0045494    .0022968
         339  |  -.0366604   .0025232   -14.53   0.000    -.0416407   -.0316801
         342  |   .1956002   .0106553    18.36   0.000      .174569    .2166314
         343  |   .0742285   .0027582    26.91   0.000     .0687844    .0796726
         344  |   .0036581   .0046375     0.79   0.431    -.0054953    .0128115
         345  |   -.037262   .0032708   -11.39   0.000    -.0437177   -.0308063
         346  |   .0058062   .0027582     2.11   0.037     .0003621    .0112503
         347  |   -.106748    .005155   -20.71   0.000    -.1169227   -.0965732
         348  |   .5425831   .0106553    50.92   0.000     .5215519    .5636143
         349  |    .032786   .0027582    11.89   0.000     .0273419    .0382302
         350  |    .000321   .0020232     0.16   0.874    -.0036723    .0043142
         352  |   .0346373    .002561    13.52   0.000     .0295824    .0396922
         355  |  -.0152272   .0026021    -5.85   0.000    -.0203631   -.0100913
         359  |    .025647   .0027582     9.30   0.000     .0202029    .0310911
         360  |  -.0167518   .0025831    -6.49   0.000    -.0218502   -.0116533
         364  |  -.0312339   .0032708    -9.55   0.000    -.0376896   -.0247782
         365  |   .0204208   .0030907     6.61   0.000     .0143206     .026521
         366  |   .0937781   .0027582    34.00   0.000      .088334    .0992223
         367  |   .0780767   .0033577    23.25   0.000     .0714493    .0847041
         368  |   .0474901   .0030429    15.61   0.000     .0414841     .053496
         369  |   .0513378   .0027582    18.61   0.000     .0458937    .0567819
         370  |   .0239616   .0025461     9.41   0.000     .0189361    .0289871
         371  |   .0775847   .0027582    28.13   0.000     .0721406    .0830288
         372  |   .0914799   .0041894    21.84   0.000     .0832109    .0997488
         373  |   .0441732   .0027582    16.02   0.000     .0387291    .0496173
         375  |   .0283214   .0017343    16.33   0.000     .0248983    .0317445
         380  |  -.0072049   .0017343    -4.15   0.000    -.0106279   -.0037818
         385  |   .0113087   .0017343     6.52   0.000     .0078856    .0147318
         390  |   .0161624   .0017343     9.32   0.000     .0127393    .0195855
         404  |  -.0335549   .0014234   -23.57   0.000    -.0363645   -.0307454
         411  |  -.0207556   .0013415   -15.47   0.000    -.0234034   -.0181078
         420  |   .0008366   .0011368     0.74   0.463    -.0014072    .0030803
         432  |  -.0088596    .002561    -3.46   0.001    -.0139145   -.0038047
         433  |  -.0019661   .0022736    -0.86   0.388    -.0064537    .0025216
         434  |  -.0030101   .0025831    -1.17   0.245    -.0081086    .0020884
         435  |  -.0149454   .0017343    -8.62   0.000    -.0183684   -.0115223
         436  |   -.005176   .0024135    -2.14   0.033    -.0099397   -.0004123
         437  |  -.0241524   .0017343   -13.93   0.000    -.0275755   -.0207293
         438  |  -.0235547   .0017343   -13.58   0.000    -.0269778   -.0201316
         439  |   .0057439   .0017343     3.31   0.001     .0023208     .009167
         450  |  -.0434547   .0019363   -22.44   0.000    -.0472765   -.0396329
         451  |  -.0207133   .0017533   -11.81   0.000     -.024174   -.0172527
         452  |   -.016056   .0022922    -7.00   0.000    -.0205802   -.0115317
         461  |  -.0222248   .0017343   -12.82   0.000    -.0256479   -.0188018
         471  |  -.0069074   .0017343    -3.98   0.000    -.0103304   -.0034843
         475  |  -.0178184   .0013475   -13.22   0.000    -.0204781   -.0151588
         481  |  -.0144563   .0017343    -8.34   0.000    -.0178794   -.0110332
         482  |  -.0304888   .0021354   -14.28   0.000    -.0347036    -.026274
         483  |  -.0210162   .0017343   -12.12   0.000    -.0244393   -.0175932
         484  |  -.0235914   .0015409   -15.31   0.000    -.0266329   -.0205499
         490  |  -.0258391   .0017343   -14.90   0.000    -.0292621    -.022416
         500  |  -.0091367   .0016091    -5.68   0.000    -.0123128   -.0059607
         501  |   .0014823   .0021238     0.70   0.486    -.0027097    .0056742
         510  |  -.0116644   .0016987    -6.87   0.000    -.0150172   -.0083116
         516  |   -.010516   .0019548    -5.38   0.000    -.0143744   -.0066576
         517  |   .0020737   .0017343     1.20   0.233    -.0013494    .0054967
         520  |  -.0650732   .0012582   -51.72   0.000    -.0675566   -.0625898
         522  |  -.0560139   .0014346   -39.05   0.000    -.0588454   -.0531824
         529  |   .0382717   .0028483    13.44   0.000     .0326498    .0438935
         530  |  -.0108993   .0031334    -3.48   0.001    -.0170838   -.0047147
         531  |  -.0615036   .0029779   -20.65   0.000    -.0673812    -.055626
         540  |  -.0156074   .0013118   -11.90   0.000    -.0181965   -.0130182
         541  |  -.0218675   .0019496   -11.22   0.000    -.0257156   -.0180194
         551  |  -.0248252   .0016496   -15.05   0.000    -.0280812   -.0215692
         552  |  -.0263328   .0012875   -20.45   0.000     -.028874   -.0237915
         553  |  -.0144109    .002489    -5.79   0.000    -.0193236   -.0094982
         560  |  -.0008531   .0025075    -0.34   0.734    -.0058024    .0040962
         565  |  -.0156791   .0026241    -5.97   0.000    -.0208585   -.0104996
         570  |   .0185615   .0020603     9.01   0.000      .014495    .0226281
         571  |   .0497749   .0014535    34.24   0.000     .0469059    .0526438
         572  |  -.0074905   .0013415    -5.58   0.000    -.0101384   -.0048427
         580  |  -.0019285   .0025358    -0.76   0.448    -.0069337    .0030766
         581  |  -.0299744   .0017295   -17.33   0.000    -.0333881   -.0265608
         590  |   .0234371   .0013415    17.47   0.000     .0207892    .0260849
         600  |   .0058577   .0017343     3.38   0.001     .0024346    .0092808
         615  |     .00022   .0016594     0.13   0.895    -.0030551    .0034952
         616  |  -.0005264   .0017343    -0.30   0.762    -.0039495    .0028966
         620  |  -.0250502   .0017343   -14.44   0.000    -.0284733   -.0216272
         625  |  -.0232041   .0015628   -14.85   0.000    -.0262887   -.0201195
         630  |  -.0104241   .0017343    -6.01   0.000    -.0138472    -.007001
         640  |   .0022605     .00183     1.24   0.218    -.0013514    .0058725
         645  |   -.053478   .0017343   -30.84   0.000     -.056901   -.0500549
         651  |  -.0027963   .0017343    -1.61   0.109    -.0062194    .0006268
         652  |  -.0086955   .0017343    -5.01   0.000    -.0121185   -.0052724
         660  |   .0037563   .0015793     2.38   0.018     .0006391    .0068735
         663  |   .0020369   .0017343     1.17   0.242    -.0013862    .0054599
         666  |  -.0019253   .0017343    -1.11   0.268    -.0053484    .0014977
         670  |   .0027703   .0017343     1.60   0.112    -.0006528    .0061934
         678  |   .0213681   .0033918     6.30   0.000     .0146734    .0280628
         679  |  -.0238814   .0026241    -9.10   0.000    -.0290608   -.0187019
         680  |   .0003904   .0033949     0.11   0.909    -.0063103    .0070912
         690  |  -.0151976   .0016594    -9.16   0.000    -.0184728   -.0119225
         692  |    .009665   .0012304     7.86   0.000     .0072365    .0120936
         694  |  -.0037291   .0012304    -3.03   0.003    -.0061577   -.0013006
         696  |   .0044184   .0012304     3.59   0.000     .0019899     .006847
         698  |   .0439565   .0017343    25.35   0.000     .0405334    .0473796
         700  |  -.0399989   .0017343   -23.06   0.000     -.043422   -.0365759
         701  |  -.0168001   .0027582    -6.09   0.000    -.0222442   -.0113559
         702  |  -.0254589   .0027582    -9.23   0.000     -.030903   -.0200147
         703  |  -.0239465   .0027582    -8.68   0.000    -.0293906   -.0185023
         704  |   .0001953   .0027582     0.07   0.944    -.0052488    .0056395
         705  |   .0979765   .0027582    35.52   0.000     .0925323    .1034206
         710  |  -.0015369   .0017343    -0.89   0.377      -.00496    .0018862
         712  |  -.0201483   .0026021    -7.74   0.000    -.0252842   -.0150124
         713  |   .0024871   .0024416     1.02   0.310    -.0023321    .0073064
         731  |  -.0244474   .0017343   -14.10   0.000    -.0278704   -.0210243
         732  |   .0126627   .0025547     4.96   0.000     .0076202    .0177051
         740  |   .0066389   .0017343     3.83   0.000     .0032158     .010062
         750  |   .0024254   .0017343     1.40   0.164    -.0009977    .0058485
         760  |  -.0014207   .0017343    -0.82   0.414    -.0048437    .0020024
         769  |   .0189411   .0044208     4.28   0.000     .0102154    .0276668
         770  |  -.0107156   .0008669   -12.36   0.000    -.0124267   -.0090045
         771  |   .0080812   .0022148     3.65   0.000     .0037097    .0124528
         775  |  -.0046935   .0016014    -2.93   0.004    -.0078544   -.0015326
         780  |   .0125594   .0017544     7.16   0.000     .0090966    .0160223
         790  |  -.0090524   .0021997    -4.12   0.000    -.0133941   -.0047107
         800  |     .01807   .0023792     7.60   0.000      .013374    .0227659
         811  |  -.0251665   .0017343   -14.51   0.000    -.0285896   -.0217434
         812  |  -.0100649   .0017343    -5.80   0.000    -.0134879   -.0066418
         816  |  -.0771795   .0044653   -17.28   0.000    -.0859931    -.068366
         817  |  -.0035382   .0045283    -0.78   0.436     -.012476    .0053997
         818  |   .0028514   .0013667     2.09   0.038     .0001538    .0055491
         820  |   .0168857   .0017343     9.74   0.000     .0134627    .0203088
         830  |   .0629144   .0017343    36.28   0.000     .0594913    .0663375
         840  |   .0002141   .0023015     0.09   0.926    -.0043285    .0047567
         850  |   .0064989   .0023201     2.80   0.006     .0019196    .0110782
         860  |   .0321678   .0052194     6.16   0.000     .0218659    .0424697
         900  |   .0147385   .0017343     8.50   0.000     .0113154    .0181616
         910  |   -.028415   .0013118   -21.66   0.000    -.0310042   -.0258259
         920  |   .0267059   .0017343    15.40   0.000     .0232828     .030129
         940  |  -.0385605    .001114   -34.61   0.000    -.0407594   -.0363616
         950  |          0  (omitted)
              |
ccode#c.year2 |
           2  |          0  (omitted)
          20  |          0  (omitted)
          40  |          0  (omitted)
          41  |          0  (omitted)
          42  |          0  (omitted)
          51  |          0  (omitted)
          52  |          0  (omitted)
          70  |          0  (omitted)
          90  |          0  (omitted)
          91  |          0  (omitted)
          92  |          0  (omitted)
          93  |          0  (omitted)
          94  |          0  (omitted)
          95  |          0  (omitted)
         100  |          0  (omitted)
         101  |          0  (omitted)
         110  |          0  (omitted)
         130  |          0  (omitted)
         135  |          0  (omitted)
         140  |          0  (omitted)
         145  |          0  (omitted)
         150  |          0  (omitted)
         155  |          0  (omitted)
         160  |          0  (omitted)
         165  |          0  (omitted)
         200  |          0  (omitted)
         205  |          0  (omitted)
         210  |          0  (omitted)
         211  |          0  (omitted)
         220  |          0  (omitted)
         225  |          0  (omitted)
         230  |          0  (omitted)
         235  |          0  (omitted)
         255  |          0  (omitted)
         260  |          0  (omitted)
         265  |          0  (omitted)
         290  |          0  (omitted)
         305  |          0  (omitted)
         310  |          0  (omitted)
         315  |          0  (omitted)
         316  |          0  (omitted)
         317  |          0  (omitted)
         325  |          0  (omitted)
         339  |          0  (omitted)
         342  |          0  (omitted)
         343  |          0  (omitted)
         344  |          0  (omitted)
         345  |          0  (omitted)
         346  |          0  (omitted)
         347  |          0  (omitted)
         348  |          0  (omitted)
         349  |          0  (omitted)
         350  |          0  (omitted)
         352  |          0  (omitted)
         355  |          0  (omitted)
         359  |          0  (omitted)
         360  |          0  (omitted)
         364  |          0  (omitted)
         365  |          0  (omitted)
         366  |          0  (omitted)
         367  |          0  (omitted)
         368  |          0  (omitted)
         369  |          0  (omitted)
         370  |          0  (omitted)
         371  |          0  (omitted)
         372  |          0  (omitted)
         373  |          0  (omitted)
         375  |          0  (omitted)
         380  |          0  (omitted)
         385  |          0  (omitted)
         390  |          0  (omitted)
         404  |          0  (omitted)
         411  |          0  (omitted)
         420  |          0  (omitted)
         432  |          0  (omitted)
         433  |          0  (omitted)
         434  |          0  (omitted)
         435  |          0  (omitted)
         436  |          0  (omitted)
         437  |          0  (omitted)
         438  |          0  (omitted)
         439  |          0  (omitted)
         450  |          0  (omitted)
         451  |          0  (omitted)
         452  |          0  (omitted)
         461  |          0  (omitted)
         471  |          0  (omitted)
         475  |          0  (omitted)
         481  |          0  (omitted)
         482  |          0  (omitted)
         483  |          0  (omitted)
         484  |          0  (omitted)
         490  |          0  (omitted)
         500  |          0  (omitted)
         501  |          0  (omitted)
         510  |          0  (omitted)
         516  |          0  (omitted)
         517  |          0  (omitted)
         520  |          0  (omitted)
         522  |          0  (omitted)
         529  |          0  (omitted)
         530  |          0  (omitted)
         531  |          0  (omitted)
         540  |          0  (omitted)
         541  |          0  (omitted)
         551  |          0  (omitted)
         552  |          0  (omitted)
         553  |          0  (omitted)
         560  |          0  (omitted)
         565  |          0  (omitted)
         570  |          0  (omitted)
         571  |          0  (omitted)
         572  |          0  (omitted)
         580  |          0  (omitted)
         581  |          0  (omitted)
         590  |          0  (omitted)
         600  |          0  (omitted)
         615  |          0  (omitted)
         616  |          0  (omitted)
         620  |          0  (omitted)
         625  |          0  (omitted)
         630  |          0  (omitted)
         640  |          0  (omitted)
         645  |          0  (omitted)
         651  |          0  (omitted)
         652  |          0  (omitted)
         660  |          0  (omitted)
         663  |          0  (omitted)
         666  |          0  (omitted)
         670  |          0  (omitted)
         678  |          0  (omitted)
         679  |          0  (omitted)
         680  |          0  (omitted)
         690  |          0  (omitted)
         692  |          0  (omitted)
         694  |          0  (omitted)
         696  |          0  (omitted)
         698  |          0  (omitted)
         700  |          0  (omitted)
         701  |          0  (omitted)
         702  |          0  (omitted)
         703  |          0  (omitted)
         704  |          0  (omitted)
         705  |          0  (omitted)
         710  |          0  (omitted)
         712  |          0  (omitted)
         713  |          0  (omitted)
         731  |          0  (omitted)
         732  |          0  (omitted)
         740  |          0  (omitted)
         750  |          0  (omitted)
         760  |          0  (omitted)
         769  |          0  (omitted)
         770  |          0  (omitted)
         771  |          0  (omitted)
         775  |          0  (omitted)
         780  |          0  (omitted)
         790  |          0  (omitted)
         800  |          0  (omitted)
         811  |          0  (omitted)
         812  |          0  (omitted)
         816  |          0  (omitted)
         817  |          0  (omitted)
         818  |          0  (omitted)
         820  |          0  (omitted)
         830  |          0  (omitted)
         840  |          0  (omitted)
         850  |          0  (omitted)
         860  |          0  (omitted)
         900  |          0  (omitted)
         910  |          0  (omitted)
         920  |          0  (omitted)
         940  |          0  (omitted)
         950  |          0  (omitted)
              |
         year |
        1962  |   .0548957    .010233     5.36   0.000     .0346982    .0750932
        1963  |   .1025376   .0209522     4.89   0.000     .0611829    .1438924
        1964  |   .1440578   .0214057     6.73   0.000     .1018079    .1863078
        1965  |   .1928339   .0258776     7.45   0.000     .1417575    .2439103
        1966  |   .2231439   .0288035     7.75   0.000     .1662925    .2799954
        1967  |   .2594989   .0303547     8.55   0.000     .1995856    .3194121
        1968  |   .2805904   .0335366     8.37   0.000     .2143968     .346784
        1969  |   .3095391    .037918     8.16   0.000     .2346977    .3843806
        1970  |   .3763388   .0395457     9.52   0.000     .2982845     .454393
        1971  |   .4523284   .0449964    10.05   0.000     .3635158     .541141
        1972  |   .5143415   .0510908    10.07   0.000     .4134999     .615183
        1973  |   .5941396   .0534355    11.12   0.000     .4886701     .699609
        1974  |   .6724695   .0561404    11.98   0.000     .5616612    .7832778
        1975  |   .7136025   .0596296    11.97   0.000     .5959073    .8312977
        1976  |   .7848151   .0631681    12.42   0.000     .6601357    .9094945
        1977  |   .8482658   .0658633    12.88   0.000     .7182667    .9782648
        1978  |   .9024151   .0672688    13.42   0.000     .7696419    1.035188
        1979  |   .9484666    .072921    13.01   0.000     .8045372    1.092396
        1980  |   1.032875   .0729007    14.17   0.000     .8889859    1.176764
        1981  |   1.083624    .075905    14.28   0.000     .9338052    1.233443
        1982  |   1.023562   .0771579    13.27   0.000     .8712699    1.175854
        1983  |   1.048597   .0780313    13.44   0.000      .894581    1.202613
        1984  |    1.04807   .0797891    13.14   0.000     .8905848    1.205556
        1985  |   1.024897   .0822115    12.47   0.000     .8626306    1.187164
        1986  |   1.034145   .0855805    12.08   0.000     .8652287    1.203062
        1987  |   1.017226   .0855623    11.89   0.000     .8483452    1.186106
        1988  |   1.045809   .0865809    12.08   0.000     .8749176    1.216699
        1989  |   1.034658   .0889859    11.63   0.000     .8590206    1.210296
        1990  |   1.030045   .0879832    11.71   0.000     .8563867    1.203704
        1991  |   .9923482   .0833061    11.91   0.000      .827921    1.156775
        1992  |   .9740302   .0824567    11.81   0.000     .8112795    1.136781
        1993  |    .968342    .080008    12.10   0.000     .8104246    1.126259
        1994  |   1.004919   .0819533    12.26   0.000     .8431619    1.166676
        1995  |    1.07482   .0805204    13.35   0.000     .9158909    1.233748
        1996  |   1.095741   .0811666    13.50   0.000     .9355371    1.255946
        1997  |   1.078079   .0811156    13.29   0.000     .9179754    1.238183
        1998  |   1.075702   .0810233    13.28   0.000     .9157807    1.235624
        1999  |   1.010711   .0816219    12.38   0.000     .8496076    1.171814
        2000  |   1.071838    .084119    12.74   0.000     .9058069     1.23787
        2001  |   1.050051   .0844833    12.43   0.000     .8833002    1.216802
        2002  |   1.045089   .0835891    12.50   0.000      .880103    1.210075
        2003  |   1.035059   .0831156    12.45   0.000     .8710081     1.19911
        2004  |   .9900839   .0821373    12.05   0.000     .8279636    1.152204
        2005  |   .9978211    .082564    12.09   0.000     .8348587    1.160784
        2006  |   1.030076   .0843569    12.21   0.000     .8635745    1.196577
        2007  |   1.019416   .0853277    11.95   0.000     .8509988    1.187834
        2008  |   1.014188    .087316    11.62   0.000     .8418456    1.186529
        2009  |   .9715388    .087196    11.14   0.000     .7994338    1.143644
              |
        ccode |
          20  |  -6.432436   1.44e-08 -4.5e+08   0.000    -6.432436   -6.432436
          40  |   37.66084   .0330513  1139.47   0.000      37.5956    37.72607
          41  |   78.68864   .0330513  2380.80   0.000      78.6234    78.75388
          42  |   .0712173   .8676476     0.08   0.935    -1.641321    1.783755
          51  |   6.641207   1.44e-08  4.6e+08   0.000     6.641207    6.641207
          52  |  -34.40262    .318463  -108.03   0.000     -35.0312   -33.77405
          70  |  -1.732693   1.232005    -1.41   0.161    -4.164388    .6990027
          90  |  -4.325678   .4197854   -10.30   0.000    -5.154239   -3.497118
          91  |   .6351514   1.451476     0.44   0.662    -2.229729    3.500032
          92  |   -8.98401   2.024562    -4.44   0.000    -12.98003   -4.987988
          93  |   11.36767   2.024562     5.61   0.000     7.371648    15.36369
          94  |  -10.76045   1.44e-08 -7.5e+08   0.000    -10.76045   -10.76045
          95  |  -30.63853   .7853903   -39.01   0.000    -32.18871   -29.08835
         100  |  -23.74927   1.44e-08 -1.7e+09   0.000    -23.74927   -23.74927
         101  |   41.19842   .5998139    68.69   0.000     40.01453    42.38232
         110  |   60.15673   2.249368    26.74   0.000       55.717    64.59647
         130  |  -25.29787   1.117421   -22.64   0.000     -27.5034   -23.09233
         135  |   1.454905    .196942     7.39   0.000     1.066187    1.843624
         140  |  -27.23442    1.31556   -20.70   0.000    -29.83104   -24.63781
         145  |   -29.7068   1.968982   -15.09   0.000    -33.59312   -25.82048
         150  |   27.80034   .8926048    31.15   0.000     26.03854    29.56214
         155  |   -55.2691   .3528903  -156.62   0.000    -55.96562   -54.57257
         160  |   14.22427   1.094639    12.99   0.000      12.0637    16.38483
         165  |  -28.15318   .4499363   -62.57   0.000    -29.04125   -27.26511
         200  |   -7.70202   1.44e-08 -5.4e+08   0.000     -7.70202    -7.70202
         205  |  -49.57511   1.44e-08 -3.4e+09   0.000    -49.57511   -49.57511
         210  |  -28.81612   1.44e-08 -2.0e+09   0.000    -28.81612   -28.81612
         211  |  -2.591603   1.44e-08 -1.8e+08   0.000    -2.591603   -2.591603
         220  |  -3.035735   1.44e-08 -2.1e+08   0.000    -3.035735   -3.035735
         225  |  -39.05921   1.44e-08 -2.7e+09   0.000    -39.05921   -39.05921
         230  |  -51.08337   1.832392   -27.88   0.000    -54.70009   -47.46665
         235  |  -12.28328   1.778161    -6.91   0.000    -15.79296   -8.773595
         255  |  -20.67377   5.655491    -3.66   0.000    -31.83642   -9.511126
         260  |  -15.14774    3.92994    -3.85   0.000    -22.90454    -7.39094
         265  |   53.55969    3.93726    13.60   0.000     45.78844    61.33094
         290  |   19.36192   1.960989     9.87   0.000     15.49138    23.23246
         305  |  -50.13765   1.44e-08 -3.5e+09   0.000    -50.13765   -50.13765
         310  |   14.83742    1.92819     7.69   0.000     11.03161    18.64322
         315  |   58.80295   3.627498    16.21   0.000     51.64309     65.9628
         316  |  -34.29642   6.247949    -5.49   0.000    -46.62844   -21.96439
         317  |  -127.2554   6.247949   -20.37   0.000    -139.5874   -114.9234
         325  |   3.482088   1.44e-08  2.4e+08   0.000     3.482088    3.482088
         339  |   73.32045   1.762849    41.59   0.000     69.84099    76.79991
         342  |   -392.484   21.65714   -18.12   0.000    -435.2303   -349.7378
         343  |  -148.5499   5.828277   -25.49   0.000    -160.0536   -137.0463
         344  |  -6.484209   7.557381    -0.86   0.392    -21.40075    8.432332
         345  |    74.0693   3.676268    20.15   0.000     66.81319    81.32541
         346  |   -11.9314    5.82449    -2.05   0.042    -23.42761   -.4351869
         347  |   213.1303   8.508792    25.05   0.000     196.3359    229.9247
         348  |  -1089.721   21.65714   -50.32   0.000    -1132.467   -1046.975
         349  |  -64.46472   5.828277   -11.06   0.000    -75.96841   -52.96104
         350  |   .5435613   .6607902     0.82   0.412    -.7606876     1.84781
         352  |  -67.65076   1.832392   -36.92   0.000    -71.26749   -64.03404
         355  |   31.14198    1.92819    16.15   0.000     27.33617    34.94778
         359  |  -51.74987   5.828277    -8.88   0.000    -63.25356   -40.24619
         360  |   33.80868   1.888697    17.90   0.000     30.08082    37.53653
         364  |   62.99988   3.676268    17.14   0.000     55.74377      70.256
         365  |  -40.54066   8.655559    -4.68   0.000    -57.62475   -23.45656
         366  |  -187.0274   5.828277   -32.09   0.000    -198.5311   -175.5237
         367  |   -156.024   5.979947   -26.09   0.000    -167.8271    -144.221
         368  |  -94.50078   5.807658   -16.27   0.000    -105.9638   -83.03779
         369  |  -102.9007   5.828277   -17.66   0.000    -114.4044   -91.39702
         370  |  -47.58787   6.884224    -6.91   0.000    -61.17576   -33.99999
         371  |  -155.2459    5.82449   -26.65   0.000    -166.7421   -143.7497
         372  |  -183.3481   6.910205   -26.53   0.000    -196.9872   -169.7089
         373  |  -88.48135    5.82449   -15.19   0.000    -99.97757   -76.98514
         375  |   -54.5557   1.44e-08 -3.8e+09   0.000     -54.5557    -54.5557
         380  |   16.11099   1.44e-08  1.1e+09   0.000     16.11099    16.11099
         385  |  -20.73777   1.44e-08 -1.4e+09   0.000    -20.73777   -20.73777
         390  |  -30.38361   1.44e-08 -2.1e+09   0.000    -30.38361   -30.38361
         404  |   66.09515   2.683884    24.63   0.000     60.79778    71.39253
         411  |   40.34369   1.404791    28.72   0.000     37.57096    43.11643
         420  |  -2.498564   1.238137    -2.02   0.045    -4.942365   -.0547642
         432  |   16.70304    1.84251     9.07   0.000     13.06635    20.33974
         433  |   3.393816   1.232005     2.75   0.007     .9621201    5.825511
         434  |    5.01422   1.888697     2.65   0.009     1.286364    8.742077
         435  |   29.14043   .0330513   881.67   0.000     29.07519    29.20566
         436  |   9.255079   1.530563     6.05   0.000     6.234098    12.27606
         437  |   47.42939   .0330513  1435.02   0.000     47.36415    47.49462
         438  |   46.11006   .0330513  1395.11   0.000     46.04482    46.17529
         439  |  -12.24529   .0330513  -370.49   0.000    -12.31053   -12.18006
         450  |   85.40958   .4929536   173.26   0.000      84.4366    86.38256
         451  |   40.24627   .2075788   193.88   0.000     39.83656    40.65598
         452  |   31.30086   1.267451    24.70   0.000      28.7992    33.80252
         461  |    43.3087   .0330513  1310.35   0.000     43.24346    43.37393
         471  |   13.23941   .0330513   400.57   0.000     13.17418    13.30465
         475  |   34.63828   .9310185    37.20   0.000     32.80067     36.4759
         481  |   28.77184   .0330513   870.52   0.000      28.7066    28.83707
         482  |   59.42717   .9300742    63.90   0.000     57.59141    61.26292
         483  |   40.55039   .0330513  1226.89   0.000     40.48515    40.61562
         484  |   46.44636   .4308981   107.79   0.000     45.59587    47.29686
         490  |   50.22425   .0330513  1519.58   0.000     50.15902    50.28949
         500  |   17.32633   .3378371    51.29   0.000     16.65952    17.99314
         501  |  -3.305886   1.164557    -2.84   0.005    -5.604455   -1.007317
         510  |   22.50504   .1579656   142.47   0.000     22.19325    22.81682
         516  |   19.81713   .7228357    27.42   0.000     18.39041    21.24384
         517  |   -4.92988   .0330513  -149.16   0.000    -4.995116   -4.864644
         520  |   127.7705   1.178043   108.46   0.000     125.4453    130.0957
         522  |   111.5135   3.396801    32.83   0.000      104.809     118.218
         529  |  -77.45635   5.987588   -12.94   0.000    -89.27448   -65.63822
         530  |   20.93507   3.392678     6.17   0.000      14.2387    27.63144
         531  |   122.5958    6.24508    19.63   0.000     110.2695    134.9222
         540  |   30.86906   2.961625    10.42   0.000     25.02349    36.71463
         541  |   42.77167   2.968997    14.41   0.000     36.91155    48.63179
         551  |   49.21029   .6475303    76.00   0.000     47.93221    50.48837
         552  |   52.36643   1.626914    32.19   0.000     49.15528    55.57759
         553  |   27.99441   1.974644    14.18   0.000     24.09691     31.8919
         560  |    2.55688   1.730051     1.48   0.141    -.8578453    5.971604
         565  |   31.68008   5.650922     5.61   0.000     20.52646    42.83371
         570  |  -37.31487   1.468006   -25.42   0.000    -40.21238   -34.41736
         571  |  -98.85905   1.006341   -98.24   0.000    -100.8453   -96.87276
         572  |   14.58402   1.404791    10.38   0.000     11.81128    17.35676
         580  |   2.895268   1.789628     1.62   0.108    -.6370473    6.427584
         581  |   58.27908   2.892331    20.15   0.000     52.57028    63.98788
         590  |  -46.84799   1.411867   -33.18   0.000    -49.63469   -44.06129
         600  |  -11.53234   .0330513  -348.92   0.000    -11.59757    -11.4671
         615  |  -.2968418   .3167233    -0.94   0.350    -.9219813    .3282976
         616  |   1.275007   .0330513    38.58   0.000     1.209771    1.340243
         620  |   50.00587   .0330513  1512.98   0.000     49.94063     50.0711
         625  |   45.27211   .3800396   119.12   0.000       44.522    46.02223
         630  |   21.13866   .0330513   639.57   0.000     21.07342    21.20389
         640  |  -3.729188   .2236191   -16.68   0.000    -4.170561   -3.287815
         645  |   106.2514   .0330513  3214.74   0.000     106.1862    106.3167
         651  |   6.024469   .0330513   182.28   0.000     5.959233    6.089704
         652  |   17.60992   .0330513   532.81   0.000     17.54469    17.67516
         660  |  -7.399874    .338523   -21.86   0.000    -8.068041   -6.731707
         663  |  -3.333406   .0330513  -100.86   0.000    -3.398641    -3.26817
         666  |   5.609295   1.44e-08  3.9e+08   0.000     5.609295    5.609295
         670  |  -4.680295   .0330513  -141.61   0.000    -4.745531   -4.615059
         678  |   -42.5498    3.93726   -10.81   0.000    -50.32105   -34.77855
         679  |   47.19528   5.650922     8.35   0.000     36.04165    58.34891
         680  |  -.6204539   4.365164    -0.14   0.887     -9.23629    7.995382
         690  |   31.71152   .3167233   100.12   0.000     31.08638    32.33666
         692  |  -18.18956   2.068721    -8.79   0.000    -22.27275   -14.10638
         694  |   8.819792   2.068721     4.26   0.000      4.73661    12.90297
         696  |  -7.310519   2.068721    -3.53   0.001     -11.3937   -3.227337
         698  |   -86.4724   .0330513 -2616.31   0.000    -86.53764   -86.40717
         700  |   78.02138   .0330513  2360.61   0.000     77.95614    78.08661
         701  |   33.10606    5.82449     5.68   0.000     21.60985    44.60227
         702  |   50.02373    5.82449     8.59   0.000     38.52752    61.51994
         703  |   47.38336    5.82449     8.14   0.000     35.88714    58.87957
         704  |  -1.159439    5.82449    -0.20   0.842    -12.65565    10.33677
         705  |  -195.9458    5.82449   -33.64   0.000    -207.4421   -184.4496
         710  |   3.289597   .0330513    99.53   0.000     3.224361    3.354832
         712  |   40.46399    1.92819    20.99   0.000     36.65818    44.26979
         713  |   -3.86109   1.590814    -2.43   0.016    -7.000993   -.7211875
         731  |   49.07799   .0330513  1484.90   0.000     49.01276    49.14323
         732  |  -23.95159   1.825748   -13.12   0.000     -27.5552   -20.34798
         740  |  -11.75888   1.44e-08 -8.2e+08   0.000    -11.75888   -11.75888
         750  |  -4.869438   1.44e-08 -3.4e+08   0.000    -4.869438   -4.869438
         760  |   2.452994   .0330513    74.22   0.000     2.387758     2.51823
         769  |  -37.37764   7.028373    -5.32   0.000    -51.25004   -23.50524
         770  |   21.14481   2.562081     8.25   0.000     16.08785    26.20177
         771  |  -16.87766    2.49662    -6.76   0.000    -21.80542   -11.94991
         775  |    8.79817   .2829429    31.10   0.000     8.239706    9.356635
         780  |  -25.10188   .0563053  -445.82   0.000    -25.21302   -24.99075
         790  |   17.22876   1.069311    16.11   0.000     15.11818    19.33933
         800  |    -35.476   1.450177   -24.46   0.000    -38.33832   -32.61368
         811  |   49.13132   .0330513  1486.52   0.000     49.06608    49.19656
         812  |     19.511   .0330513   590.32   0.000     19.44576    19.57623
         816  |   151.3347    6.35371    23.82   0.000     138.7939    163.8754
         817  |   7.408419   6.604138     1.12   0.264     -5.62664    20.44348
         818  |  -5.701836   3.178954    -1.79   0.075    -11.97636    .5726918
         820  |  -32.62784   .0330513  -987.19   0.000    -32.69308   -32.56261
         830  |  -123.4594   .0330513 -3735.38   0.000    -123.5246   -123.3942
         840  |  -.3936508    1.27944    -0.31   0.759    -2.918973    2.131671
         850  |  -12.92851   1.331749    -9.71   0.000    -15.55708   -10.29994
         860  |  -65.92291   10.58072    -6.23   0.000    -86.80684   -45.03898
         900  |  -27.27662   1.44e-08 -1.9e+09   0.000    -27.27662   -27.27662
         910  |   56.22562    2.96943    18.93   0.000     50.36465     62.0866
         920  |   -51.2141   1.44e-08 -3.6e+09   0.000     -51.2141    -51.2141
         940  |   75.23234   4.241719    17.74   0.000     66.86016    83.60453
         950  |  -.0008641   3.438757    -0.00   1.000    -6.788184    6.786456
              |
        _cons |   -1.01992   3.358902    -0.30   0.762    -7.649626    5.609785
-------------------------------------------------------------------------------

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons
output/out.xml
dir : seeout

. predict Cap_td2, xb
(167 missing values generated)

. 
. reg Capacity demo_l1 (c.year c.year2 c.year3)#i.ccode i.year i.ccode, cl(ccode)
note: 950.ccode#c.year omitted because of collinearity
note: 2b.ccode#c.year2 omitted because of collinearity
note: 20.ccode#c.year2 omitted because of collinearity
note: 40.ccode#c.year2 omitted because of collinearity
note: 41.ccode#c.year2 omitted because of collinearity
note: 42.ccode#c.year2 omitted because of collinearity
note: 51.ccode#c.year2 omitted because of collinearity
note: 52.ccode#c.year2 omitted because of collinearity
note: 70.ccode#c.year2 omitted because of collinearity
note: 90.ccode#c.year2 omitted because of collinearity
note: 91.ccode#c.year2 omitted because of collinearity
note: 92.ccode#c.year2 omitted because of collinearity
note: 93.ccode#c.year2 omitted because of collinearity
note: 94.ccode#c.year2 omitted because of collinearity
note: 95.ccode#c.year2 omitted because of collinearity
note: 100.ccode#c.year2 omitted because of collinearity
note: 101.ccode#c.year2 omitted because of collinearity
note: 110.ccode#c.year2 omitted because of collinearity
note: 130.ccode#c.year2 omitted because of collinearity
note: 135.ccode#c.year2 omitted because of collinearity
note: 140.ccode#c.year2 omitted because of collinearity
note: 145.ccode#c.year2 omitted because of collinearity
note: 150.ccode#c.year2 omitted because of collinearity
note: 155.ccode#c.year2 omitted because of collinearity
note: 160.ccode#c.year2 omitted because of collinearity
note: 165.ccode#c.year2 omitted because of collinearity
note: 200.ccode#c.year2 omitted because of collinearity
note: 205.ccode#c.year2 omitted because of collinearity
note: 210.ccode#c.year2 omitted because of collinearity
note: 211.ccode#c.year2 omitted because of collinearity
note: 220.ccode#c.year2 omitted because of collinearity
note: 225.ccode#c.year2 omitted because of collinearity
note: 230.ccode#c.year2 omitted because of collinearity
note: 235.ccode#c.year2 omitted because of collinearity
note: 255.ccode#c.year2 omitted because of collinearity
note: 260.ccode#c.year2 omitted because of collinearity
note: 265.ccode#c.year2 omitted because of collinearity
note: 290.ccode#c.year2 omitted because of collinearity
note: 305.ccode#c.year2 omitted because of collinearity
note: 310.ccode#c.year2 omitted because of collinearity
note: 315.ccode#c.year2 omitted because of collinearity
note: 316.ccode#c.year2 omitted because of collinearity
note: 317.ccode#c.year2 omitted because of collinearity
note: 325.ccode#c.year2 omitted because of collinearity
note: 339.ccode#c.year2 omitted because of collinearity
note: 342.ccode#c.year2 omitted because of collinearity
note: 343.ccode#c.year2 omitted because of collinearity
note: 344.ccode#c.year2 omitted because of collinearity
note: 345.ccode#c.year2 omitted because of collinearity
note: 346.ccode#c.year2 omitted because of collinearity
note: 347.ccode#c.year2 omitted because of collinearity
note: 348.ccode#c.year2 omitted because of collinearity
note: 349.ccode#c.year2 omitted because of collinearity
note: 350.ccode#c.year2 omitted because of collinearity
note: 352.ccode#c.year2 omitted because of collinearity
note: 355.ccode#c.year2 omitted because of collinearity
note: 359.ccode#c.year2 omitted because of collinearity
note: 360.ccode#c.year2 omitted because of collinearity
note: 364.ccode#c.year2 omitted because of collinearity
note: 365.ccode#c.year2 omitted because of collinearity
note: 366.ccode#c.year2 omitted because of collinearity
note: 367.ccode#c.year2 omitted because of collinearity
note: 368.ccode#c.year2 omitted because of collinearity
note: 369.ccode#c.year2 omitted because of collinearity
note: 370.ccode#c.year2 omitted because of collinearity
note: 371.ccode#c.year2 omitted because of collinearity
note: 372.ccode#c.year2 omitted because of collinearity
note: 373.ccode#c.year2 omitted because of collinearity
note: 375.ccode#c.year2 omitted because of collinearity
note: 380.ccode#c.year2 omitted because of collinearity
note: 385.ccode#c.year2 omitted because of collinearity
note: 390.ccode#c.year2 omitted because of collinearity
note: 404.ccode#c.year2 omitted because of collinearity
note: 411.ccode#c.year2 omitted because of collinearity
note: 420.ccode#c.year2 omitted because of collinearity
note: 432.ccode#c.year2 omitted because of collinearity
note: 433.ccode#c.year2 omitted because of collinearity
note: 434.ccode#c.year2 omitted because of collinearity
note: 435.ccode#c.year2 omitted because of collinearity
note: 436.ccode#c.year2 omitted because of collinearity
note: 437.ccode#c.year2 omitted because of collinearity
note: 438.ccode#c.year2 omitted because of collinearity
note: 439.ccode#c.year2 omitted because of collinearity
note: 450.ccode#c.year2 omitted because of collinearity
note: 451.ccode#c.year2 omitted because of collinearity
note: 452.ccode#c.year2 omitted because of collinearity
note: 461.ccode#c.year2 omitted because of collinearity
note: 471.ccode#c.year2 omitted because of collinearity
note: 475.ccode#c.year2 omitted because of collinearity
note: 481.ccode#c.year2 omitted because of collinearity
note: 482.ccode#c.year2 omitted because of collinearity
note: 483.ccode#c.year2 omitted because of collinearity
note: 484.ccode#c.year2 omitted because of collinearity
note: 490.ccode#c.year2 omitted because of collinearity
note: 500.ccode#c.year2 omitted because of collinearity
note: 501.ccode#c.year2 omitted because of collinearity
note: 510.ccode#c.year2 omitted because of collinearity
note: 516.ccode#c.year2 omitted because of collinearity
note: 517.ccode#c.year2 omitted because of collinearity
note: 520.ccode#c.year2 omitted because of collinearity
note: 522.ccode#c.year2 omitted because of collinearity
note: 529.ccode#c.year2 omitted because of collinearity
note: 530.ccode#c.year2 omitted because of collinearity
note: 531.ccode#c.year2 omitted because of collinearity
note: 540.ccode#c.year2 omitted because of collinearity
note: 541.ccode#c.year2 omitted because of collinearity
note: 551.ccode#c.year2 omitted because of collinearity
note: 552.ccode#c.year2 omitted because of collinearity
note: 553.ccode#c.year2 omitted because of collinearity
note: 560.ccode#c.year2 omitted because of collinearity
note: 565.ccode#c.year2 omitted because of collinearity
note: 570.ccode#c.year2 omitted because of collinearity
note: 571.ccode#c.year2 omitted because of collinearity
note: 572.ccode#c.year2 omitted because of collinearity
note: 580.ccode#c.year2 omitted because of collinearity
note: 581.ccode#c.year2 omitted because of collinearity
note: 590.ccode#c.year2 omitted because of collinearity
note: 600.ccode#c.year2 omitted because of collinearity
note: 615.ccode#c.year2 omitted because of collinearity
note: 616.ccode#c.year2 omitted because of collinearity
note: 620.ccode#c.year2 omitted because of collinearity
note: 625.ccode#c.year2 omitted because of collinearity
note: 630.ccode#c.year2 omitted because of collinearity
note: 640.ccode#c.year2 omitted because of collinearity
note: 645.ccode#c.year2 omitted because of collinearity
note: 651.ccode#c.year2 omitted because of collinearity
note: 652.ccode#c.year2 omitted because of collinearity
note: 660.ccode#c.year2 omitted because of collinearity
note: 663.ccode#c.year2 omitted because of collinearity
note: 666.ccode#c.year2 omitted because of collinearity
note: 670.ccode#c.year2 omitted because of collinearity
note: 678.ccode#c.year2 omitted because of collinearity
note: 679.ccode#c.year2 omitted because of collinearity
note: 680.ccode#c.year2 omitted because of collinearity
note: 690.ccode#c.year2 omitted because of collinearity
note: 692.ccode#c.year2 omitted because of collinearity
note: 694.ccode#c.year2 omitted because of collinearity
note: 696.ccode#c.year2 omitted because of collinearity
note: 698.ccode#c.year2 omitted because of collinearity
note: 700.ccode#c.year2 omitted because of collinearity
note: 701.ccode#c.year2 omitted because of collinearity
note: 702.ccode#c.year2 omitted because of collinearity
note: 703.ccode#c.year2 omitted because of collinearity
note: 704.ccode#c.year2 omitted because of collinearity
note: 705.ccode#c.year2 omitted because of collinearity
note: 710.ccode#c.year2 omitted because of collinearity
note: 712.ccode#c.year2 omitted because of collinearity
note: 713.ccode#c.year2 omitted because of collinearity
note: 731.ccode#c.year2 omitted because of collinearity
note: 732.ccode#c.year2 omitted because of collinearity
note: 740.ccode#c.year2 omitted because of collinearity
note: 750.ccode#c.year2 omitted because of collinearity
note: 760.ccode#c.year2 omitted because of collinearity
note: 769.ccode#c.year2 omitted because of collinearity
note: 770.ccode#c.year2 omitted because of collinearity
note: 771.ccode#c.year2 omitted because of collinearity
note: 775.ccode#c.year2 omitted because of collinearity
note: 780.ccode#c.year2 omitted because of collinearity
note: 790.ccode#c.year2 omitted because of collinearity
note: 800.ccode#c.year2 omitted because of collinearity
note: 811.ccode#c.year2 omitted because of collinearity
note: 812.ccode#c.year2 omitted because of collinearity
note: 816.ccode#c.year2 omitted because of collinearity
note: 817.ccode#c.year2 omitted because of collinearity
note: 818.ccode#c.year2 omitted because of collinearity
note: 820.ccode#c.year2 omitted because of collinearity
note: 830.ccode#c.year2 omitted because of collinearity
note: 840.ccode#c.year2 omitted because of collinearity
note: 850.ccode#c.year2 omitted because of collinearity
note: 860.ccode#c.year2 omitted because of collinearity
note: 900.ccode#c.year2 omitted because of collinearity
note: 910.ccode#c.year2 omitted because of collinearity
note: 920.ccode#c.year2 omitted because of collinearity
note: 940.ccode#c.year2 omitted because of collinearity
note: 950.ccode#c.year2 omitted because of collinearity
note: 255.ccode#c.year3 omitted because of collinearity
note: 260.ccode#c.year3 omitted because of collinearity
note: 265.ccode#c.year3 omitted because of collinearity
note: 315.ccode#c.year3 omitted because of collinearity
note: 316.ccode#c.year3 omitted because of collinearity
note: 317.ccode#c.year3 omitted because of collinearity
note: 342.ccode#c.year3 omitted because of collinearity
note: 343.ccode#c.year3 omitted because of collinearity
note: 344.ccode#c.year3 omitted because of collinearity
note: 345.ccode#c.year3 omitted because of collinearity
note: 346.ccode#c.year3 omitted because of collinearity
note: 347.ccode#c.year3 omitted because of collinearity
note: 348.ccode#c.year3 omitted because of collinearity
note: 349.ccode#c.year3 omitted because of collinearity
note: 359.ccode#c.year3 omitted because of collinearity
note: 364.ccode#c.year3 omitted because of collinearity
note: 365.ccode#c.year3 omitted because of collinearity
note: 366.ccode#c.year3 omitted because of collinearity
note: 367.ccode#c.year3 omitted because of collinearity
note: 368.ccode#c.year3 omitted because of collinearity
note: 369.ccode#c.year3 omitted because of collinearity
note: 370.ccode#c.year3 omitted because of collinearity
note: 371.ccode#c.year3 omitted because of collinearity
note: 372.ccode#c.year3 omitted because of collinearity
note: 373.ccode#c.year3 omitted because of collinearity
note: 404.ccode#c.year3 omitted because of collinearity
note: 411.ccode#c.year3 omitted because of collinearity
note: 522.ccode#c.year3 omitted because of collinearity
note: 529.ccode#c.year3 omitted because of collinearity
note: 530.ccode#c.year3 omitted because of collinearity
note: 531.ccode#c.year3 omitted because of collinearity
note: 540.ccode#c.year3 omitted because of collinearity
note: 541.ccode#c.year3 omitted because of collinearity
note: 552.ccode#c.year3 omitted because of collinearity
note: 565.ccode#c.year3 omitted because of collinearity
note: 572.ccode#c.year3 omitted because of collinearity
note: 581.ccode#c.year3 omitted because of collinearity
note: 590.ccode#c.year3 omitted because of collinearity
note: 678.ccode#c.year3 omitted because of collinearity
note: 679.ccode#c.year3 omitted because of collinearity
note: 680.ccode#c.year3 omitted because of collinearity
note: 692.ccode#c.year3 omitted because of collinearity
note: 694.ccode#c.year3 omitted because of collinearity
note: 696.ccode#c.year3 omitted because of collinearity
note: 701.ccode#c.year3 omitted because of collinearity
note: 702.ccode#c.year3 omitted because of collinearity
note: 703.ccode#c.year3 omitted because of collinearity
note: 704.ccode#c.year3 omitted because of collinearity
note: 705.ccode#c.year3 omitted because of collinearity
note: 769.ccode#c.year3 omitted because of collinearity
note: 770.ccode#c.year3 omitted because of collinearity
note: 771.ccode#c.year3 omitted because of collinearity
note: 816.ccode#c.year3 omitted because of collinearity
note: 817.ccode#c.year3 omitted because of collinearity
note: 818.ccode#c.year3 omitted because of collinearity
note: 860.ccode#c.year3 omitted because of collinearity
note: 910.ccode#c.year3 omitted because of collinearity
note: 940.ccode#c.year3 omitted because of collinearity
note: 950.ccode#c.year3 omitted because of collinearity

Linear regression                               Number of obs     =      7,019
                                                F(109, 173)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.9496
                                                Root MSE          =     .23191

                                 (Std. Err. adjusted for 174 clusters in ccode)
-------------------------------------------------------------------------------
              |               Robust
     Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      demo_l1 |   .0094253   .0260211     0.36   0.718    -.0419345     .060785
              |
 ccode#c.year |
           2  |  -.9580033    .893103    -1.07   0.285    -2.720784    .8047778
          20  |  -1.516451    .893095    -1.70   0.091    -3.279217    .2463139
          40  |  -1.749897   .8930953    -1.96   0.052    -3.512663    .0128688
          41  |  -1.113294   .8930954    -1.25   0.214     -2.87606    .6494724
          42  |   -3.64851   .8951215    -4.08   0.000    -5.415276   -1.881745
          51  |  -2.195215   .8930949    -2.46   0.015     -3.95798   -.4324502
          52  |    -1.7619   .8968059    -1.96   0.051     -3.53199    .0081895
          70  |  -2.121723   .8946275    -2.37   0.019    -3.887513   -.3559325
          90  |  -2.880925   .8930611    -3.23   0.002    -4.643624   -1.118227
          91  |  -2.617655   .8930837    -2.93   0.004    -4.380398   -.8549123
          92  |  -3.422417   .8931423    -3.83   0.000    -5.185276   -1.659558
          93  |  -2.144261   .8931424    -2.40   0.017    -3.907119   -.3814018
          94  |  -.8941776   .8930951    -1.00   0.318    -2.656943    .8685879
          95  |  -.9291101   .8976796    -1.04   0.302    -2.700924    .8427042
         100  |  -2.711068    .893095    -3.04   0.003    -4.473833   -.9483023
         101  |  -.1852415   .8943695    -0.21   0.836    -1.950522    1.580039
         110  |  -.7097318   .9046162    -0.78   0.434    -2.495237    1.075774
         130  |  -1.035932    .893267    -1.16   0.248    -2.799037    .7271726
         135  |  -3.000457   .8938856    -3.36   0.001    -4.764783   -1.236131
         140  |   -1.20168   .8930631    -1.35   0.180    -2.964383    .5610222
         145  |  -1.269568   .8935952    -1.42   0.157    -3.033321    .4941846
         150  |  -1.901835   .8941542    -2.13   0.035    -3.666691   -.1369787
         155  |  -4.433516   .8971369    -4.94   0.000    -6.204259   -2.662773
         160  |  -1.832172   .8931835    -2.05   0.042    -3.595112    -.069232
         165  |  -2.302619   .8947032    -2.57   0.011    -4.068559   -.5366799
         200  |   .4450842   .8930949     0.50   0.619    -1.317681    2.207849
         205  |  -.4072791   .8930949    -0.46   0.649    -2.170044    1.355486
         210  |  -.4173135    .893095    -0.47   0.641    -2.180079    1.345452
         211  |   1.548242   .8930949     1.73   0.085    -.2145236    3.311007
         220  |   .0327358   .8930949     0.04   0.971    -1.730029    1.795501
         225  |   -1.97375    .893095    -2.21   0.028    -3.736515    -.210985
         230  |   .6835499   .8946671     0.76   0.446    -1.082318    2.449418
         235  |  -.8715807   .8949449    -0.97   0.331    -2.637997    .8948359
         255  |   .0228693   .0089645     2.55   0.012     .0051754    .0405632
         260  |   -.006526   .0132333    -0.49   0.623    -.0326457    .0195936
         265  |  -.0414373   .0132333    -3.13   0.002     -.067557   -.0153177
         290  |  -2.101104   .8932803    -2.35   0.020    -3.864235   -.3379731
         305  |  -1.099222   .8930951    -1.23   0.220    -2.861987    .6635439
         310  |  -.7092097   .8934277    -0.79   0.428    -2.472632    1.054212
         315  |  -.0425645   .0123329    -3.45   0.001    -.0669069   -.0182221
         316  |   .0307505   .0100068     3.07   0.002     .0109994    .0505017
         317  |   .0772103   .0100068     7.72   0.000     .0574591    .0969614
         325  |   1.387053    .893095     1.55   0.122    -.3757124    3.149818
         339  |   -3.35324   .8938675    -3.75   0.000     -5.11753    -1.58895
         342  |   .2143211    .017355    12.35   0.000     .1800663     .248576
         343  |   .0865549   .0093629     9.24   0.000     .0680746    .1050352
         344  |   .0189907   .0098853     1.92   0.056    -.0005206    .0385019
         345  |  -.0515723   .0127586    -4.04   0.000     -.076755   -.0263897
         346  |   .0181327   .0093629     1.94   0.054    -.0003476    .0366129
         347  |  -.0922269   .0092541    -9.97   0.000    -.1104923   -.0739615
         348  |   .5613041    .017355    32.34   0.000     .5270492    .5955589
         349  |   .0451125   .0093629     4.82   0.000     .0266322    .0635927
         350  |    1.26622   .8930983     1.42   0.158    -.4965522    3.028992
         352  |  -.8373853   .8946672    -0.94   0.351    -2.603254    .9284831
         355  |  -.6671823   .8934275    -0.75   0.456    -2.430604    1.096239
         359  |   .0379734   .0093629     4.06   0.000     .0194931    .0564537
         360  |  -2.669884   .8936005    -2.99   0.003    -4.433647   -.9061214
         364  |  -.0455442   .0127586    -3.57   0.000    -.0707268   -.0203616
         365  |   .0300984   .0096327     3.12   0.002     .0110856    .0491111
         366  |   .1061046   .0093629    11.33   0.000     .0876243    .1245849
         367  |   .0915907   .0095134     9.63   0.000     .0728134    .1103681
         368  |   .0604474   .0094334     6.41   0.000      .041828    .0790669
         369  |   .0636643   .0093629     6.80   0.000      .045184    .0821445
         370  |    .034618   .0092827     3.73   0.000     .0162961    .0529398
         371  |   .0899112   .0093629     9.60   0.000     .0714309    .1083914
         372  |   .1062186   .0097459    10.90   0.000     .0869825    .1254548
         373  |   .0564996   .0093629     6.03   0.000     .0380193    .0749799
         375  |  -.5036729   .8930949    -0.56   0.574    -2.266438    1.259092
         380  |  -.5637154   .8930951    -0.63   0.529    -2.326481     1.19905
         385  |  -1.971439   .8930949    -2.21   0.029    -3.734204   -.2086737
         390  |  -3.284473    .893095    -3.68   0.000    -5.047238   -1.521708
         404  |  -.0298663   .0021964   -13.60   0.000    -.0342015   -.0255311
         411  |  -.0204984   .0013637   -15.03   0.000    -.0231901   -.0178067
         420  |  -.0368331   .9119574    -0.04   0.968    -1.836828    1.763162
         432  |  -3.077404   .8937891    -3.44   0.001    -4.841539   -1.313269
         433  |  -1.463925   .8946277    -1.64   0.104    -3.229716    .3018651
         434  |  -2.039861   .8936005    -2.28   0.024    -3.803624   -.2760976
         435  |   .3194449   .8930956     0.36   0.721    -1.443322    2.082211
         436  |  -1.287652   .8941315    -1.44   0.152    -3.052463    .4771593
         437  |   1.600599   .8930956     1.79   0.075    -.1621677    3.363365
         438  |  -.9640853   .8930956    -1.08   0.282    -2.726852    .7986813
         439  |    -2.1876   .8930956    -2.45   0.015    -3.950367   -.4248341
         450  |  -.0823566    .893396    -0.09   0.927    -1.845716    1.681003
         451  |  -2.218836   .9012153    -2.46   0.015    -3.997628   -.4400426
         452  |  -4.541742   .8939377    -5.08   0.000    -6.306171   -2.777313
         461  |   .0031945   .8930955     0.00   0.997    -1.759572    1.765961
         471  |   .4565329   .8930956     0.51   0.610    -1.306234    2.219299
         475  |  -.6963114   .8932887    -0.78   0.437    -2.459459    1.066836
         481  |   3.131473   .8930957     3.51   0.001     1.368707     4.89424
         482  |  -.0054168    .893135    -0.01   0.995    -1.768261    1.757427
         483  |  -1.510325   .8930957    -1.69   0.093    -3.273091    .2524421
         484  |   1.618095   .8934027     1.81   0.072     -.145278    3.381467
         490  |  -.9286818   .8930957    -1.04   0.300    -2.691448    .8340849
         500  |   -4.15076   .8977126    -4.62   0.000    -5.922639    -2.37888
         501  |  -1.531997   .9005465    -1.70   0.091    -3.309469    .2454761
         510  |  -1.408377    .894787    -1.57   0.117    -3.174482    .3577274
         516  |  -.7043859   .8976608    -0.78   0.434    -2.476163    1.067391
         517  |  -2.651781   .8930958    -2.97   0.003    -4.414547   -.8890137
         520  |   2.123727    .894677     2.37   0.019     .3578393    3.889615
         522  |  -.0509378    .003438   -14.82   0.000    -.0577236    -.044152
         529  |   .0510342   .0096545     5.29   0.000     .0319784      .07009
         530  |  -.0246494    .012304    -2.00   0.047    -.0489347   -.0003642
         531  |     -.0483   .0100068    -4.83   0.000    -.0680511   -.0285488
         540  |   -.011569   .0025619    -4.52   0.000    -.0166256   -.0065123
         541  |  -.0170599   .0028194    -6.05   0.000    -.0226247    -.011495
         551  |  -1.472669   .9004257    -1.64   0.104    -3.249903    .3045659
         552  |  -.0255233   .0010944   -23.32   0.000    -.0276835   -.0233631
         553  |  -1.085173   .9018263    -1.20   0.231    -2.865172    .6948256
         560  |   .6774951   .8941723     0.76   0.450    -1.087397    2.442387
         565  |  -.0038446   .0089645    -0.43   0.669    -.0215385    .0138493
         570  |   .8702723   .9068475     0.96   0.339    -.9196374    2.660182
         571  |   2.360771   .9037971     2.61   0.010      .576882     4.14466
         572  |  -.0072333   .0013637    -5.30   0.000    -.0099251   -.0045416
         580  |  -1.833738   .8939829    -2.05   0.042    -3.598255     -.06922
         581  |   -.025425    .002723    -9.34   0.000    -.0307996   -.0200505
         590  |   .0236943   .0013637    17.37   0.000     .0210026     .026386
         600  |  -.6487663   .8930956    -0.73   0.469    -2.411533       1.114
         615  |  -2.920298   .8968053    -3.26   0.001    -4.690386   -1.150209
         616  |  -1.896819   .8930956    -2.12   0.035    -3.659585   -.1340523
         620  |   .6004193   .8930956     0.67   0.502    -1.162347    2.363186
         625  |  -.1807015   .8931468    -0.20   0.840    -1.943569    1.582166
         630  |  -1.559001   .8930956    -1.75   0.083    -3.321768    .2037654
         640  |  -1.470771   .8930609    -1.65   0.101    -3.233469    .2919272
         645  |   5.759215   .8930956     6.45   0.000     3.996448    7.521982
         651  |  -.9271738   .8930956    -1.04   0.301     -2.68994    .8355928
         652  |  -.4953369   .8930957    -0.55   0.580    -2.258104     1.26743
         660  |  -3.991257   .8932944    -4.47   0.000    -5.754416   -2.228099
         663  |  -2.493935   .8930956    -2.79   0.006    -4.256701   -.7311682
         666  |   .0798053   .8930948     0.09   0.929     -1.68296     1.84257
         670  |  -.2019677   .8930955    -0.23   0.821    -1.964734    1.560799
         678  |   .0064831   .0132333     0.49   0.625    -.0196365    .0326027
         679  |  -.0120469   .0089645    -1.34   0.181    -.0297408     .005647
         680  |  -.0101802   .0104241    -0.98   0.330     -.030755    .0103945
         690  |  -1.235358    .896805    -1.38   0.170    -3.005446    .5347298
         692  |    .011575    .001084    10.68   0.000     .0094354    .0137146
         694  |  -.0018192    .001084    -1.68   0.095    -.0039588    .0003205
         696  |   .0063284    .001084     5.84   0.000     .0041887     .008468
         698  |   3.380188   .8930957     3.78   0.000     1.617421    5.142954
         700  |  -3.826301   .8930957    -4.28   0.000    -5.589068   -2.063535
         701  |  -.0044736   .0093629    -0.48   0.633    -.0229539    .0140067
         702  |  -.0131324   .0093629    -1.40   0.163    -.0316127    .0053478
         703  |    -.01162   .0093629    -1.24   0.216    -.0301003    .0068603
         704  |   .0125218   .0093629     1.34   0.183    -.0059585     .031002
         705  |   .1103029   .0093629    11.78   0.000     .0918226    .1287832
         710  |  -4.330224   .8930955    -4.85   0.000     -6.09299   -2.567458
         712  |   -1.77492   .8934281    -1.99   0.049    -3.538343   -.0114978
         713  |  -1.323961   .8944895    -1.48   0.141    -3.089479     .441557
         731  |   .9726576   .8930956     1.09   0.278    -.7901089    2.735424
         732  |   1.166815   .8934438     1.31   0.193    -.5966384    2.930269
         740  |   .7878712   .8930949     0.88   0.379     -.974894    2.550636
         750  |  -2.901227    .893095    -3.25   0.001    -4.663992   -1.138461
         760  |  -1.098697   .8930955    -1.23   0.220    -2.861463    .6640694
         769  |    -.00731    .021217    -0.34   0.731    -.0491875    .0345676
         770  |  -.0086741   .0011672    -7.43   0.000    -.0109779   -.0063702
         771  |   .0110654   .0018177     6.09   0.000     .0074776    .0146532
         775  |  -2.007726   .8931912    -2.25   0.026    -3.770682    -.244771
         780  |  -2.311512   .8963486    -2.58   0.011      -4.0807   -.5423251
         790  |  -3.293095   .8931514    -3.69   0.000    -5.055972   -1.530218
         800  |   -1.67805   .8944648    -1.88   0.062    -3.443519    .0874189
         811  |  -8.051163   .8930955    -9.01   0.000    -9.813929   -6.288397
         812  |  -2.621976   .8930956    -2.94   0.004    -4.384742   -.8592093
         816  |  -.1006942   .0190887    -5.28   0.000    -.1383709   -.0630174
         817  |  -.0276354   .0194608    -1.42   0.157    -.0660465    .0107757
         818  |   .0074071   .0030001     2.47   0.015     .0014856    .0133285
         820  |  -1.220763   .8930955    -1.37   0.173    -2.983529    .5420036
         830  |   .4842616   .8930956     0.54   0.588    -1.278505    2.247028
         840  |  -1.647795   .8943686    -1.84   0.067    -3.413074    .1174845
         850  |  -1.263272   .8946739    -1.41   0.160    -3.029154    .5026098
         860  |   .0491944   .0135473     3.63   0.000     .0224552    .0759336
         900  |  -.9360932   .8930948    -1.05   0.296    -2.698858    .8266718
         910  |  -.0243766   .0025619    -9.52   0.000    -.0294332     -.01932
         920  |  -.3594727    .893095    -0.40   0.688    -2.122238    1.403293
         940  |  -.0337903   .0037788    -8.94   0.000    -.0412488   -.0263318
         950  |          0  (omitted)
              |
ccode#c.year2 |
           2  |          0  (omitted)
          20  |          0  (omitted)
          40  |          0  (omitted)
          41  |          0  (omitted)
          42  |          0  (omitted)
          51  |          0  (omitted)
          52  |          0  (omitted)
          70  |          0  (omitted)
          90  |          0  (omitted)
          91  |          0  (omitted)
          92  |          0  (omitted)
          93  |          0  (omitted)
          94  |          0  (omitted)
          95  |          0  (omitted)
         100  |          0  (omitted)
         101  |          0  (omitted)
         110  |          0  (omitted)
         130  |          0  (omitted)
         135  |          0  (omitted)
         140  |          0  (omitted)
         145  |          0  (omitted)
         150  |          0  (omitted)
         155  |          0  (omitted)
         160  |          0  (omitted)
         165  |          0  (omitted)
         200  |          0  (omitted)
         205  |          0  (omitted)
         210  |          0  (omitted)
         211  |          0  (omitted)
         220  |          0  (omitted)
         225  |          0  (omitted)
         230  |          0  (omitted)
         235  |          0  (omitted)
         255  |          0  (omitted)
         260  |          0  (omitted)
         265  |          0  (omitted)
         290  |          0  (omitted)
         305  |          0  (omitted)
         310  |          0  (omitted)
         315  |          0  (omitted)
         316  |          0  (omitted)
         317  |          0  (omitted)
         325  |          0  (omitted)
         339  |          0  (omitted)
         342  |          0  (omitted)
         343  |          0  (omitted)
         344  |          0  (omitted)
         345  |          0  (omitted)
         346  |          0  (omitted)
         347  |          0  (omitted)
         348  |          0  (omitted)
         349  |          0  (omitted)
         350  |          0  (omitted)
         352  |          0  (omitted)
         355  |          0  (omitted)
         359  |          0  (omitted)
         360  |          0  (omitted)
         364  |          0  (omitted)
         365  |          0  (omitted)
         366  |          0  (omitted)
         367  |          0  (omitted)
         368  |          0  (omitted)
         369  |          0  (omitted)
         370  |          0  (omitted)
         371  |          0  (omitted)
         372  |          0  (omitted)
         373  |          0  (omitted)
         375  |          0  (omitted)
         380  |          0  (omitted)
         385  |          0  (omitted)
         390  |          0  (omitted)
         404  |          0  (omitted)
         411  |          0  (omitted)
         420  |          0  (omitted)
         432  |          0  (omitted)
         433  |          0  (omitted)
         434  |          0  (omitted)
         435  |          0  (omitted)
         436  |          0  (omitted)
         437  |          0  (omitted)
         438  |          0  (omitted)
         439  |          0  (omitted)
         450  |          0  (omitted)
         451  |          0  (omitted)
         452  |          0  (omitted)
         461  |          0  (omitted)
         471  |          0  (omitted)
         475  |          0  (omitted)
         481  |          0  (omitted)
         482  |          0  (omitted)
         483  |          0  (omitted)
         484  |          0  (omitted)
         490  |          0  (omitted)
         500  |          0  (omitted)
         501  |          0  (omitted)
         510  |          0  (omitted)
         516  |          0  (omitted)
         517  |          0  (omitted)
         520  |          0  (omitted)
         522  |          0  (omitted)
         529  |          0  (omitted)
         530  |          0  (omitted)
         531  |          0  (omitted)
         540  |          0  (omitted)
         541  |          0  (omitted)
         551  |          0  (omitted)
         552  |          0  (omitted)
         553  |          0  (omitted)
         560  |          0  (omitted)
         565  |          0  (omitted)
         570  |          0  (omitted)
         571  |          0  (omitted)
         572  |          0  (omitted)
         580  |          0  (omitted)
         581  |          0  (omitted)
         590  |          0  (omitted)
         600  |          0  (omitted)
         615  |          0  (omitted)
         616  |          0  (omitted)
         620  |          0  (omitted)
         625  |          0  (omitted)
         630  |          0  (omitted)
         640  |          0  (omitted)
         645  |          0  (omitted)
         651  |          0  (omitted)
         652  |          0  (omitted)
         660  |          0  (omitted)
         663  |          0  (omitted)
         666  |          0  (omitted)
         670  |          0  (omitted)
         678  |          0  (omitted)
         679  |          0  (omitted)
         680  |          0  (omitted)
         690  |          0  (omitted)
         692  |          0  (omitted)
         694  |          0  (omitted)
         696  |          0  (omitted)
         698  |          0  (omitted)
         700  |          0  (omitted)
         701  |          0  (omitted)
         702  |          0  (omitted)
         703  |          0  (omitted)
         704  |          0  (omitted)
         705  |          0  (omitted)
         710  |          0  (omitted)
         712  |          0  (omitted)
         713  |          0  (omitted)
         731  |          0  (omitted)
         732  |          0  (omitted)
         740  |          0  (omitted)
         750  |          0  (omitted)
         760  |          0  (omitted)
         769  |          0  (omitted)
         770  |          0  (omitted)
         771  |          0  (omitted)
         775  |          0  (omitted)
         780  |          0  (omitted)
         790  |          0  (omitted)
         800  |          0  (omitted)
         811  |          0  (omitted)
         812  |          0  (omitted)
         816  |          0  (omitted)
         817  |          0  (omitted)
         818  |          0  (omitted)
         820  |          0  (omitted)
         830  |          0  (omitted)
         840  |          0  (omitted)
         850  |          0  (omitted)
         860  |          0  (omitted)
         900  |          0  (omitted)
         910  |          0  (omitted)
         920  |          0  (omitted)
         940  |          0  (omitted)
         950  |          0  (omitted)
              |
ccode#c.year3 |
           2  |   8.08e-08   7.52e-08     1.07   0.284    -6.76e-08    2.29e-07
          20  |   1.28e-07   7.52e-08     1.71   0.090    -2.01e-08    2.77e-07
          40  |   1.46e-07   7.52e-08     1.94   0.054    -2.29e-09    2.94e-07
          41  |   9.04e-08   7.52e-08     1.20   0.231    -5.80e-08    2.39e-07
          42  |   3.08e-07   7.53e-08     4.09   0.000     1.60e-07    4.57e-07
          51  |   1.85e-07   7.52e-08     2.46   0.015     3.67e-08    3.33e-07
          52  |   1.50e-07   7.55e-08     1.99   0.048     1.12e-09    2.99e-07
          70  |   1.79e-07   7.53e-08     2.38   0.018     3.06e-08    3.28e-07
          90  |   2.44e-07   7.52e-08     3.24   0.001     9.52e-08    3.92e-07
          91  |   2.21e-07   7.52e-08     2.94   0.004     7.27e-08    3.69e-07
          92  |   2.90e-07   7.52e-08     3.85   0.000     1.41e-07    4.38e-07
          93  |   1.81e-07   7.52e-08     2.40   0.017     3.23e-08    3.29e-07
          94  |   7.57e-08   7.52e-08     1.01   0.315    -7.26e-08    2.24e-07
          95  |   7.96e-08   7.56e-08     1.05   0.294    -6.96e-08    2.29e-07
         100  |   2.30e-07   7.52e-08     3.06   0.003     8.16e-08    3.78e-07
         101  |   1.35e-08   7.53e-08     0.18   0.857    -1.35e-07    1.62e-07
         110  |   5.73e-08   7.61e-08     0.75   0.453    -9.30e-08    2.08e-07
         130  |   8.84e-08   7.52e-08     1.18   0.241    -6.00e-08    2.37e-07
         135  |   2.53e-07   7.52e-08     3.37   0.001     1.05e-07    4.02e-07
         140  |   1.03e-07   7.52e-08     1.36   0.174    -4.58e-08    2.51e-07
         145  |   1.08e-07   7.52e-08     1.44   0.151    -4.01e-08    2.57e-07
         150  |   1.59e-07   7.53e-08     2.12   0.036     1.08e-08    3.08e-07
         155  |   3.77e-07   7.55e-08     4.99   0.000     2.28e-07    5.26e-07
         160  |   1.54e-07   7.52e-08     2.05   0.042     5.69e-09    3.02e-07
         165  |   1.96e-07   7.53e-08     2.60   0.010     4.70e-08    3.44e-07
         200  |  -3.76e-08   7.52e-08    -0.50   0.617    -1.86e-07    1.11e-07
         205  |   3.63e-08   7.52e-08     0.48   0.630    -1.12e-07    1.85e-07
         210  |   3.62e-08   7.52e-08     0.48   0.630    -1.12e-07    1.85e-07
         211  |  -1.31e-07   7.52e-08    -1.74   0.083    -2.80e-07    1.72e-08
         220  |  -2.93e-09   7.52e-08    -0.04   0.969    -1.51e-07    1.45e-07
         225  |   1.68e-07   7.52e-08     2.24   0.026     2.00e-08    3.17e-07
         230  |  -5.59e-08   7.53e-08    -0.74   0.459    -2.05e-07    9.27e-08
         235  |   7.40e-08   7.53e-08     0.98   0.327    -7.47e-08    2.23e-07
         255  |          0  (omitted)
         260  |          0  (omitted)
         265  |          0  (omitted)
         290  |   1.77e-07   7.52e-08     2.35   0.020     2.83e-08    3.25e-07
         305  |   9.48e-08   7.52e-08     1.26   0.209    -5.36e-08    2.43e-07
         310  |   5.91e-08   7.52e-08     0.79   0.433    -8.93e-08    2.08e-07
         315  |          0  (omitted)
         316  |          0  (omitted)
         317  |          0  (omitted)
         325  |  -1.18e-07   7.52e-08    -1.57   0.119    -2.66e-07    3.06e-08
         339  |   2.80e-07   7.52e-08     3.72   0.000     1.32e-07    4.29e-07
         342  |          0  (omitted)
         343  |          0  (omitted)
         344  |          0  (omitted)
         345  |          0  (omitted)
         346  |          0  (omitted)
         347  |          0  (omitted)
         348  |          0  (omitted)
         349  |          0  (omitted)
         350  |  -1.07e-07   7.52e-08    -1.43   0.155    -2.56e-07    4.10e-08
         352  |   7.35e-08   7.53e-08     0.98   0.330    -7.51e-08    2.22e-07
         355  |   5.49e-08   7.52e-08     0.73   0.467    -9.36e-08    2.03e-07
         359  |          0  (omitted)
         360  |   2.24e-07   7.52e-08     2.98   0.003     7.57e-08    3.73e-07
         364  |          0  (omitted)
         365  |          0  (omitted)
         366  |          0  (omitted)
         367  |          0  (omitted)
         368  |          0  (omitted)
         369  |          0  (omitted)
         370  |          0  (omitted)
         371  |          0  (omitted)
         372  |          0  (omitted)
         373  |          0  (omitted)
         375  |   4.46e-08   7.52e-08     0.59   0.553    -1.04e-07    1.93e-07
         380  |   4.67e-08   7.52e-08     0.62   0.535    -1.02e-07    1.95e-07
         385  |   1.67e-07   7.52e-08     2.23   0.027     1.90e-08    3.16e-07
         390  |   2.79e-07   7.52e-08     3.71   0.000     1.30e-07    4.27e-07
         404  |          0  (omitted)
         411  |          0  (omitted)
         420  |   3.02e-09   7.68e-08     0.04   0.969    -1.48e-07    1.55e-07
         432  |   2.59e-07   7.52e-08     3.45   0.001     1.11e-07    4.08e-07
         433  |   1.23e-07   7.53e-08     1.64   0.103    -2.53e-08    2.72e-07
         434  |   1.72e-07   7.52e-08     2.29   0.023     2.36e-08    3.20e-07
         435  |  -2.87e-08   7.52e-08    -0.38   0.704    -1.77e-07    1.20e-07
         436  |   1.08e-07   7.53e-08     1.44   0.152    -4.04e-08    2.57e-07
         437  |  -1.38e-07   7.52e-08    -1.83   0.068    -2.86e-07    1.06e-08
         438  |   7.92e-08   7.52e-08     1.05   0.294    -6.92e-08    2.28e-07
         439  |   1.85e-07   7.52e-08     2.46   0.015     3.68e-08    3.34e-07
         450  |   2.95e-09   7.52e-08     0.04   0.969    -1.45e-07    1.51e-07
         451  |   1.86e-07   7.59e-08     2.45   0.015     3.58e-08    3.35e-07
         452  |   3.83e-07   7.53e-08     5.08   0.000     2.34e-07    5.31e-07
         461  |  -2.51e-09   7.52e-08    -0.03   0.973    -1.51e-07    1.46e-07
         471  |  -3.96e-08   7.52e-08    -0.53   0.599    -1.88e-07    1.09e-07
         475  |   5.70e-08   7.52e-08     0.76   0.450    -9.14e-08    2.05e-07
         481  |  -2.66e-07   7.52e-08    -3.55   0.001    -4.15e-07   -1.18e-07
         482  |  -2.44e-09   7.52e-08    -0.03   0.974    -1.51e-07    1.46e-07
         483  |   1.26e-07   7.52e-08     1.67   0.097    -2.27e-08    2.74e-07
         484  |  -1.39e-07   7.52e-08    -1.85   0.066    -2.88e-07    9.17e-09
         490  |   7.60e-08   7.52e-08     1.01   0.313    -7.24e-08    2.24e-07
         500  |   3.50e-07   7.56e-08     4.63   0.000     2.01e-07    4.99e-07
         501  |   1.29e-07   7.58e-08     1.71   0.090    -2.03e-08    2.79e-07
         510  |   1.18e-07   7.53e-08     1.56   0.120    -3.09e-08    2.66e-07
         516  |   5.84e-08   7.56e-08     0.77   0.441    -9.07e-08    2.08e-07
         517  |   2.24e-07   7.52e-08     2.98   0.003     7.58e-08    3.73e-07
         520  |  -1.86e-07   7.53e-08    -2.46   0.015    -3.34e-07   -3.69e-08
         522  |          0  (omitted)
         529  |          0  (omitted)
         530  |          0  (omitted)
         531  |          0  (omitted)
         540  |          0  (omitted)
         541  |          0  (omitted)
         551  |   1.22e-07   7.58e-08     1.61   0.109    -2.75e-08    2.72e-07
         552  |          0  (omitted)
         553  |   9.03e-08   7.59e-08     1.19   0.236    -5.95e-08    2.40e-07
         560  |  -5.77e-08   7.53e-08    -0.77   0.445    -2.06e-07    9.09e-08
         565  |          0  (omitted)
         570  |  -7.18e-08   7.63e-08    -0.94   0.348    -2.23e-07    7.88e-08
         571  |  -1.95e-07   7.61e-08    -2.56   0.011    -3.45e-07   -4.48e-08
         572  |          0  (omitted)
         580  |   1.55e-07   7.53e-08     2.06   0.041     6.14e-09    3.03e-07
         581  |          0  (omitted)
         590  |          0  (omitted)
         600  |   5.50e-08   7.52e-08     0.73   0.465    -9.34e-08    2.03e-07
         615  |   2.47e-07   7.55e-08     3.27   0.001     9.76e-08    3.96e-07
         616  |   1.60e-07   7.52e-08     2.13   0.035     1.17e-08    3.08e-07
         620  |  -5.33e-08   7.52e-08    -0.71   0.479    -2.02e-07    9.51e-08
         625  |   1.29e-08   7.52e-08     0.17   0.864    -1.35e-07    1.61e-07
         630  |   1.31e-07   7.52e-08     1.74   0.084    -1.77e-08    2.79e-07
         640  |   1.24e-07   7.52e-08     1.65   0.100    -2.41e-08    2.73e-07
         645  |  -4.92e-07   7.52e-08    -6.55   0.000    -6.40e-07   -3.44e-07
         651  |   7.78e-08   7.52e-08     1.04   0.302    -7.05e-08    2.26e-07
         652  |   4.08e-08   7.52e-08     0.54   0.588    -1.08e-07    1.89e-07
         660  |   3.38e-07   7.52e-08     4.49   0.000     1.89e-07    4.86e-07
         663  |   2.11e-07   7.52e-08     2.80   0.006     6.24e-08    3.59e-07
         666  |  -7.28e-09   7.52e-08    -0.10   0.923    -1.56e-07    1.41e-07
         670  |   1.70e-08   7.52e-08     0.23   0.822    -1.31e-07    1.65e-07
         678  |          0  (omitted)
         679  |          0  (omitted)
         680  |          0  (omitted)
         690  |   1.03e-07   7.55e-08     1.36   0.175    -4.61e-08    2.52e-07
         692  |          0  (omitted)
         694  |          0  (omitted)
         696  |          0  (omitted)
         698  |  -2.83e-07   7.52e-08    -3.76   0.000    -4.31e-07   -1.34e-07
         700  |   3.20e-07   7.52e-08     4.26   0.000     1.72e-07    4.68e-07
         701  |          0  (omitted)
         702  |          0  (omitted)
         703  |          0  (omitted)
         704  |          0  (omitted)
         705  |          0  (omitted)
         710  |   3.66e-07   7.52e-08     4.87   0.000     2.17e-07    5.14e-07
         712  |   1.48e-07   7.52e-08     1.97   0.050    -2.70e-10    2.97e-07
         713  |   1.12e-07   7.53e-08     1.49   0.139    -3.67e-08    2.61e-07
         731  |  -8.47e-08   7.52e-08    -1.13   0.261    -2.33e-07    6.37e-08
         732  |  -9.79e-08   7.52e-08    -1.30   0.195    -2.46e-07    5.05e-08
         740  |  -6.65e-08   7.52e-08    -0.88   0.378    -2.15e-07    8.19e-08
         750  |   2.45e-07   7.52e-08     3.26   0.001     9.69e-08    3.94e-07
         760  |   9.25e-08   7.52e-08     1.23   0.220    -5.59e-08    2.41e-07
         769  |          0  (omitted)
         770  |          0  (omitted)
         771  |          0  (omitted)
         775  |   1.69e-07   7.52e-08     2.25   0.026     2.07e-08    3.17e-07
         780  |   1.96e-07   7.55e-08     2.60   0.010     4.73e-08    3.45e-07
         790  |   2.77e-07   7.52e-08     3.69   0.000     1.29e-07    4.26e-07
         800  |   1.43e-07   7.53e-08     1.90   0.059    -5.40e-09    2.92e-07
         811  |   6.79e-07   7.52e-08     9.03   0.000     5.30e-07    8.27e-07
         812  |   2.21e-07   7.52e-08     2.93   0.004     7.22e-08    3.69e-07
         816  |          0  (omitted)
         817  |          0  (omitted)
         818  |          0  (omitted)
         820  |   1.04e-07   7.52e-08     1.39   0.167    -4.40e-08    2.53e-07
         830  |  -3.60e-08   7.52e-08    -0.48   0.633    -1.84e-07    1.12e-07
         840  |   1.39e-07   7.53e-08     1.85   0.066    -9.49e-09    2.88e-07
         850  |   1.07e-07   7.53e-08     1.42   0.157    -4.15e-08    2.56e-07
         860  |          0  (omitted)
         900  |   8.01e-08   7.52e-08     1.07   0.288    -6.83e-08    2.28e-07
         910  |          0  (omitted)
         920  |   3.23e-08   7.52e-08     0.43   0.668    -1.16e-07    1.81e-07
         940  |          0  (omitted)
         950  |          0  (omitted)
              |
         year |
        1962  |   .0827813   .0275034     3.01   0.003      .028496    .1370667
        1963  |   .1509814   .0537197     2.81   0.006      .044951    .2570118
        1964  |   .2205609   .0757766     2.91   0.004     .0709953    .3701265
        1965  |   .2969383   .0981657     3.02   0.003     .1031818    .4906949
        1966  |   .3553834   .1196943     2.97   0.003     .1191341    .5916326
        1967  |   .4244431   .1399514     3.03   0.003      .148211    .7006753
        1968  |   .4689102    .160196     2.93   0.004       .15272    .7851003
        1969  |   .5231279   .1770573     2.95   0.004     .1736573    .8725986
        1970  |    .611301    .194168     3.15   0.002     .2280577    .9945443
        1971  |   .7082091   .2133108     3.32   0.001     .2871823    1.129236
        1972  |   .7927963   .2259581     3.51   0.001     .3468068    1.238786
        1973  |   .8901404   .2417771     3.68   0.000     .4129277    1.367353
        1974  |   .9839311    .261056     3.77   0.000     .4686663    1.499196
        1975  |   1.040854   .2739754     3.80   0.000      .500089    1.581619
        1976  |   1.128519   .2883239     3.91   0.000     .5594331    1.697604
        1977  |   1.203952   .3021154     3.99   0.000     .6076452    1.800259
        1978  |   1.269644   .3125506     4.06   0.000     .6527411    1.886548
        1979  |   1.326106   .3221112     4.12   0.000     .6903318     1.96188
        1980  |   1.420621   .3321484     4.28   0.000     .7650358    2.076206
        1981  |   1.479268   .3423348     4.32   0.000     .8035775    2.154959
        1982  |   1.425957   .3548009     4.02   0.000      .725661    2.126253
        1983  |   1.457239   .3554325     4.10   0.000     .7556967    2.158782
        1984  |   1.462323   .3611378     4.05   0.000     .7495192    2.175126
        1985  |   1.443786   .3664811     3.94   0.000     .7204366    2.167136
        1986  |   1.456228   .3751747     3.88   0.000      .715719    2.196737
        1987  |    1.44259   .3729868     3.87   0.000     .7063991    2.178781
        1988  |   1.472246   .3758674     3.92   0.000     .7303699    2.214122
        1989  |   1.461961   .3815556     3.83   0.000     .7088578    2.215065
        1990  |    1.45677   .3814499     3.82   0.000     .7038754    2.209665
        1991  |   1.416706   .3750179     3.78   0.000     .6765059    2.156905
        1992  |   1.397447   .3773228     3.70   0.000     .6526976    2.142196
        1993  |   1.386211   .3703583     3.74   0.000     .6552086    2.117214
        1994  |   1.417461   .3674566     3.86   0.000     .6921854    2.142736
        1995  |   1.480305   .3621879     4.09   0.000     .7654286    2.195181
        1996  |   1.492898   .3567614     4.18   0.000      .788733    2.197064
        1997  |   1.465826   .3500217     4.19   0.000     .7749627    2.156688
        1998  |    1.45389   .3428618     4.24   0.000     .7771594    2.130621
        1999  |   1.377844   .3349874     4.11   0.000     .7166553    2.039033
        2000  |   1.427284   .3305896     4.32   0.000     .7747759    2.079793
        2001  |   1.393437   .3205496     4.35   0.000     .7607448    2.026128
        2002  |   1.375332   .3105322     4.43   0.000     .7624121    1.988251
        2003  |   1.351576   .3000431     4.50   0.000      .759359    1.943792
        2004  |   1.291764   .2893119     4.46   0.000     .7207286      1.8628
        2005  |   1.283625   .2793942     4.59   0.000     .7321648    1.835085
        2006  |   1.299186   .2679454     4.85   0.000     .7703236    1.828049
        2007  |   1.271348   .2538567     5.01   0.000     .7702929    1.772403
        2008  |   1.247471   .2418484     5.16   0.000     .7701178    1.724825
        2009  |   1.186029   .2290009     5.18   0.000     .7340332    1.638024
              |
        ccode |
          20  |   736.7364    .027482  2.7e+04   0.000     736.6822    736.7907
          40  |   1059.327    .037601  2.8e+04   0.000     1059.253    1059.401
          41  |   229.7581   .0375818  6113.55   0.000     229.6839    229.8323
          42  |   3558.515   70.01827    50.82   0.000     3420.315    3696.715
          51  |   1638.241   .0275437  5.9e+04   0.000     1638.187    1638.296
          52  |   1051.694   36.18553    29.06   0.000     980.2722    1123.116
          70  |   1537.651   80.29184    19.15   0.000     1379.173    1696.128
          90  |   2541.374   8.061643   315.24   0.000     2525.463    2557.286
          91  |   2194.258   18.88041   116.22   0.000     2156.992    2231.523
          92  |   3255.862   6.088735   534.74   0.000     3243.844     3267.88
          93  |   1571.397   6.088555   258.09   0.000      1559.38    1583.415
          94  |  -89.22371    .027441 -3251.48   0.000    -89.27788   -89.16955
          95  |  -49.96153    130.713    -0.38   0.703    -307.9591     208.036
         100  |   2310.626   .0275043  8.4e+04   0.000     2310.572     2310.68
         101  |  -1009.639   53.30907   -18.94   0.000    -1114.859   -904.4192
         110  |  -311.5053   111.5899    -2.79   0.006    -531.7581    -91.2524
         130  |   92.96883   15.21325     6.11   0.000     62.94135    122.9963
         135  |   2701.865   61.35504    44.04   0.000     2580.765    2822.966
         140  |   311.7971   6.850526    45.51   0.000     298.2757    325.3185
         145  |   400.1874   30.90101    12.95   0.000     339.1958    461.1789
         150  |   1256.538   68.84404    18.25   0.000     1120.655     1392.42
         155  |   4579.671   123.5236    37.08   0.000     4335.864    4823.479
         160  |   1159.941   29.96997    38.70   0.000     1100.787    1219.095
         165  |   1768.868   82.16743    21.53   0.000     1606.688    1931.048
         200  |  -1859.272   .0275304 -6.8e+04   0.000    -1859.327   -1859.218
         205  |  -745.5779   .0275388 -2.7e+04   0.000    -745.6323   -745.5236
         210  |  -725.2745   .0274853 -2.6e+04   0.000    -725.3288   -725.2203
         211  |  -3317.425   .0275295 -1.2e+05   0.000    -3317.479    -3317.37
         220  |  -1312.199   .0275371 -4.8e+04   0.000    -1312.254   -1312.145
         225  |   1330.864   .0275023  4.8e+04   0.000      1330.81    1330.918
         230  |  -2190.553   60.86321   -35.99   0.000    -2310.683   -2070.423
         235  |  -119.7571     66.739    -1.79   0.074    -251.4846    11.97045
         255  |  -1316.204   1202.119    -1.09   0.275    -3688.912    1056.505
         260  |  -1257.549    1158.71    -1.09   0.279    -3544.578     1029.48
         265  |  -1188.878    1158.71    -1.03   0.306    -3475.906    1098.151
         290  |    1517.58   36.31925    41.78   0.000     1445.894    1589.266
         305  |   169.7793   .0274098  6194.10   0.000     169.7252    169.8334
         310  |  -325.6084   43.99505    -7.40   0.000    -412.4446   -238.7722
         315  |   -1186.65   1160.524    -1.02   0.308    -3477.259    1103.958
         316  |   -1332.57    1204.14    -1.11   0.270    -3709.266    1044.127
         317  |  -1425.529    1204.14    -1.18   0.238    -3802.225    951.1676
         325  |  -3102.409   .0275092 -1.1e+05   0.000    -3102.464   -3102.355
         339  |   3192.358   60.36761    52.88   0.000     3073.206     3311.51
         342  |  -1701.827   1211.902    -1.40   0.162    -4093.845    690.1909
         343  |  -1445.066    1202.87    -1.20   0.231    -3819.256    929.1252
         344  |  -1309.032   1202.846    -1.09   0.278    -3683.175    1065.112
         345  |  -1169.501   1159.639    -1.01   0.315    -3458.362    1119.361
         346  |  -1308.483    1202.87    -1.09   0.278    -3682.673    1065.707
         347  |  -1087.796   1200.868    -0.91   0.366    -3458.035    1282.442
         348  |  -2399.064   1211.902    -1.98   0.049    -4791.082   -7.046291
         349  |   -1360.98    1202.87    -1.13   0.259    -3735.171     1013.21
         350  |  -2943.783   .6297826 -4674.28   0.000    -2945.026    -2942.54
         352  |  -183.3974   60.86331    -3.01   0.003    -303.5277   -63.26714
         355  |  -375.8507   43.99503    -8.54   0.000    -462.6868   -289.0145
         359  |  -1348.265    1202.87    -1.12   0.264    -3722.456    1025.925
         360  |   2274.893    51.1992    44.43   0.000     2173.838    2375.949
         364  |   -1180.57   1159.639    -1.02   0.310    -3469.432    1108.292
         365  |  -1331.778   1203.488    -1.11   0.270    -3707.189    1043.632
         366  |  -1483.543    1202.87    -1.23   0.219    -3857.734    890.6478
         367  |  -1454.919   1202.859    -1.21   0.228    -3829.088    919.2488
         368  |  -1392.281   1202.864    -1.16   0.249    -3766.459    981.8977
         369  |  -1399.416    1202.87    -1.16   0.246    -3773.607    974.7745
         370  |  -1340.792    1202.89    -1.11   0.267    -3715.023    1033.438
         371  |  -1451.797    1202.87    -1.21   0.229    -3825.988    922.3929
         372  |  -1484.715    1202.85    -1.23   0.219    -3858.865    889.4345
         373  |  -1385.033    1202.87    -1.15   0.251    -3759.223    989.1575
         375  |  -619.5726   .0275003 -2.3e+04   0.000    -619.6269   -619.5183
         380  |  -516.4648   .0274467 -1.9e+04   0.000     -516.519   -516.4106
         385  |   1333.958   .0275126  4.8e+04   0.000     1333.904    1334.013
         390  |   3068.211   .0275109  1.1e+05   0.000     3068.157    3068.265
         404  |   -1213.17   1188.534    -1.02   0.309    -3559.064    1132.725
         411  |  -1232.074   1182.957    -1.04   0.299    -3566.961    1102.813
         420  |  -1223.209   184.3121    -6.64   0.000    -1586.999   -859.4188
         432  |   2807.499   57.84226    48.54   0.000     2693.332    2921.666
         433  |   668.4892   80.29182     8.33   0.000     510.0115    826.9668
         434  |   1430.602   51.19935    27.94   0.000     1329.546    1531.658
         435  |  -1682.358   .0375021 -4.5e+04   0.000    -1682.432   -1682.284
         436  |    436.742   68.06642     6.42   0.000     302.3944    571.0895
         437  |  -3371.543   .0375431 -9.0e+04   0.000    -3371.617   -3371.469
         438  |   21.65384   .0374962   577.49   0.000     21.57983    21.72785
         439  |   1621.088   .0375156  4.3e+04   0.000     1621.014    1621.162
         450  |  -1132.295    42.8633   -26.42   0.000    -1216.897   -1047.692
         451  |   1680.237   154.1133    10.90   0.000     1376.053    1984.421
         452  |   4750.471    62.6405    75.84   0.000     4626.833    4874.109
         461  |  -1259.343   .0375358 -3.4e+04   0.000    -1259.417   -1259.269
         471  |  -1869.025   .0375128 -5.0e+04   0.000    -1869.099   -1868.951
         475  |  -336.2053   37.54543    -8.95   0.000    -410.3114   -262.0992
         481  |  -5403.104   .0375393 -1.4e+05   0.000    -5403.178   -5403.029
         482  |  -1243.086   5.032723  -247.00   0.000    -1253.019   -1233.152
         483  |   742.2658    .037479  2.0e+04   0.000     742.1918    742.3398
         484  |  -3394.765   43.42155   -78.18   0.000    -3480.469   -3309.061
         490  |  -24.10245   .0374684  -643.27   0.000    -24.17641    -24.0285
         500  |   4230.815   56.40509    75.01   0.000     4119.485    4342.146
         501  |   756.8792   103.0244     7.35   0.000     553.5327    960.2257
         510  |   601.7946    18.2067    33.05   0.000     565.8587    637.7304
         516  |  -331.5422   72.41787    -4.58   0.000    -474.4785   -188.6059
         517  |   2237.774   .0374429  6.0e+04   0.000       2237.7    2237.848
         520  |  -4037.138   82.02886   -49.22   0.000    -4199.044   -3875.231
         522  |  -1170.529   1191.297    -0.98   0.327    -3521.877    1180.819
         529  |  -1374.882   1203.447    -1.14   0.255    -3750.211    1000.448
         530  |  -1223.739   1160.528    -1.05   0.293    -3514.356    1066.878
         531  |  -1175.714   1204.139    -0.98   0.330    -3552.409    1200.982
         540  |    -1249.1   1189.469    -1.05   0.295     -3596.84    1098.641
         541  |  -1238.719   1189.461    -1.04   0.299    -3586.443    1109.005
         551  |   696.4136   69.57839    10.01   0.000     559.0818    833.7454
         552  |  -1221.154   1183.872    -1.03   0.304    -3557.846    1115.539
         553  |   175.0907   101.5765     1.72   0.087    -25.39808    375.5795
         560  |  -2164.693   69.09783   -31.33   0.000    -2301.076    -2028.31
         565  |  -1263.886   1202.119    -1.05   0.295    -3636.594    1108.822
         570  |  -2437.835   143.3657   -17.00   0.000    -2720.806   -2154.864
         571  |  -4432.845    93.6353   -47.34   0.000    -4617.659    -4248.03
         572  |  -1257.834   1182.957    -1.06   0.289    -3592.721    1077.053
         580  |   1157.197   63.83711    18.13   0.000     1031.197    1283.196
         581  |  -1222.705   1189.464    -1.03   0.305    -3570.434    1125.025
         590  |   -1319.23   1182.957    -1.12   0.266    -3654.117    1015.658
         600  |  -414.3152   .0374857 -1.1e+04   0.000    -414.3892   -414.2412
         615  |   2596.494    36.1832    71.76   0.000     2525.076    2667.911
         616  |   1241.533   .0374944  3.3e+04   0.000     1241.459    1241.607
         620  |  -2046.664   .0374907 -5.5e+04   0.000    -2046.738    -2046.59
         625  |  -1015.182   5.852117  -173.47   0.000    -1026.732   -1003.631
         630  |   801.2816   .0375035  2.1e+04   0.000     801.2076    801.3556
         640  |   676.4007   8.348688    81.02   0.000     659.9223    692.8791
         645  |  -8854.426   .0377412 -2.3e+05   0.000      -8854.5   -8854.351
         651  |  -39.80635   .0374892 -1061.81   0.000    -39.88034   -39.73235
         652  |  -607.4563    .037477 -1.6e+04   0.000    -607.5302   -607.3823
         660  |   4010.134   16.44154   243.90   0.000     3977.682    4042.586
         663  |   2030.452   .0375141  5.4e+04   0.000     2030.378    2030.526
         666  |  -1371.521   .0275855 -5.0e+04   0.000    -1371.575   -1371.466
         670  |  -1002.776   .0375281 -2.7e+04   0.000     -1002.85   -1002.702
         678  |  -1284.987    1158.71    -1.11   0.269    -3572.016    1002.042
         679  |  -1248.371   1202.119    -1.04   0.300    -3621.079    1124.337
         680  |  -1251.608   1164.413    -1.07   0.284    -3549.893    1046.678
         690  |   377.3556   36.18314    10.43   0.000     305.9383    448.7728
         692  |  -1293.907   1185.706    -1.09   0.277    -3634.219    1046.405
         694  |  -1266.897   1185.706    -1.07   0.287    -3607.209    1073.415
         696  |  -1283.028   1185.706    -1.08   0.281     -3623.34    1057.284
         698  |  -5770.165   .0374575 -1.5e+05   0.000    -5770.239   -5770.091
         700  |    3819.24   .0375432  1.0e+05   0.000     3819.166    3819.314
         701  |  -1263.445    1202.87    -1.05   0.295    -3637.636    1110.745
         702  |  -1246.528    1202.87    -1.04   0.302    -3620.718    1127.663
         703  |  -1249.168    1202.87    -1.04   0.300    -3623.359    1125.022
         704  |  -1297.711    1202.87    -1.08   0.282    -3671.901    1076.479
         705  |  -1492.497    1202.87    -1.24   0.216    -3866.688     881.693
         710  |   4462.221     .03757  1.2e+05   0.000     4462.147    4462.295
         712  |   1092.777    43.9951    24.84   0.000     1005.941    1179.613
         713  |   481.7902   77.06034     6.25   0.000     329.6907    633.8897
         731  |   -2539.36   .0375487 -6.8e+04   0.000    -2539.434   -2539.285
         732  |  -2820.842   44.75854   -63.02   0.000    -2909.186   -2732.499
         740  |  -2314.506   .0275206 -8.4e+04   0.000    -2314.561   -2314.452
         750  |   2568.416   .0274798  9.3e+04   0.000     2568.362     2568.47
         760  |   185.4109   .0375314  4940.15   0.000     185.3368     185.485
         769  |  -1257.454   1143.618    -1.10   0.273    -3514.693     999.786
         770  |  -1254.822   1186.663    -1.06   0.292    -3597.023    1087.379
         771  |  -1294.713   1185.695    -1.09   0.276    -3635.003    1045.577
         775  |   1390.417   30.92811    44.96   0.000     1329.371    1451.462
         780  |   1781.225   112.0627    15.89   0.000     1560.039    2002.411
         790  |   3093.461   6.660898   464.42   0.000     3080.314    3106.608
         800  |   939.4008   56.13959    16.73   0.000     828.5941    1050.208
         811  |   9400.537   .0375937  2.5e+05   0.000     9400.463    9400.611
         812  |   2206.713   .0374874  5.9e+04   0.000     2206.639    2206.787
         816  |  -1074.119   1147.488    -0.94   0.351    -3338.998    1190.761
         817  |    -1216.9   1146.816    -1.06   0.290    -3480.453    1046.654
         818  |  -1286.704   1190.393    -1.08   0.281    -3636.267    1062.859
         820  |   336.0779   .0375354  8953.62   0.000     336.0038     336.152
         830  |  -1950.024   .0374921 -5.2e+04   0.000    -1950.098    -1949.95
         840  |    910.884   74.22134    12.27   0.000      764.388     1057.38
         850  |    397.817   81.28977     4.89   0.000     237.3696    558.2645
         860  |  -1371.864   1209.839    -1.13   0.258     -3759.81    1016.083
         900  |  -38.06587   .0275616 -1381.12   0.000    -38.12028   -38.01147
         910  |  -1223.707   1189.469    -1.03   0.305    -3571.448    1124.034
         920  |   -809.182   .0274477 -2.9e+04   0.000    -809.2362   -809.1278
         940  |  -1206.174   1192.221    -1.01   0.313    -3559.345    1146.997
         950  |  -1271.898   1184.812    -1.07   0.285    -3610.446    1066.651
              |
        _cons |   1270.534   1184.495     1.07   0.285    -1067.389    3608.457
-------------------------------------------------------------------------------

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons
output/out.xml
dir : seeout

. predict Cap_td3, xb
(167 missing values generated)

. 
. /* ** for plotting */
. /* reg Capacity demo_l1 Capacity_l1 Capacity_l2 i.year i.ccode, cl(ccode) */
. /* predict Cap_lag2, xb */
. /* keep country ccode year Capacity Cap_* demo */
. /* saveold fg_modelfit, replace version(12) */
. 
. 
. 
. ******************************************************
. * Table A10. Mechanism contestation and participation
. ******************************************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. use Data_full, clear

. 
. reghdfe Capacity demo_l1 $lags $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      5,114
Absorbing 2 HDFE groups                           F(  15,    137) =     338.01
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9726
                                                  Adj R-squared   =     0.9715
                                                  Within R-sq.    =     0.7559
Number of clusters (ccode)   =        138         Root MSE        =     0.1657

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0222851   .0107091     2.08   0.039     .0011086    .0434615
 Capacity_l1 |   .7513159   .0299908    25.05   0.000      .692011    .8106207
 Capacity_l2 |       .077   .0236518     3.26   0.001     .0302303    .1237697
    lnpop_l1 |   -.080548   .0380579    -2.12   0.036    -.1558049   -.0052912
      elf_l1 |   -.093408   .0325561    -2.87   0.005    -.1577855   -.0290305
   logGDP_l1 |   .0931406   .0193257     4.82   0.000     .0549253    .1313558
     agri_l1 |  -.0012851   .0687673    -0.02   0.985    -.1372677    .1346975
 literacy_l1 |  -.0390079   .0576397    -0.68   0.500    -.1529865    .0749707
      min_l1 |  -.2336232   .0958825    -2.44   0.016    -.4232243   -.0440221
resources_l1 |   .0162056   .0051924     3.12   0.002     .0059379    .0264733
  log_aid_l1 |   .0042119   .0041086     1.03   0.307    -.0039127    .0123364
  exports_l1 |    .101604   .0270946     3.75   0.000     .0480263    .1551817
  rivalry_l1 |   -.015318    .009558    -1.60   0.111    -.0342183    .0035822
   threat_l1 |   .0469925   .0189513     2.48   0.014     .0095177    .0844674
      war_l1 |   .0034923   .0086647     0.40   0.688    -.0136415    .0206261
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           44              45              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 contdim_l1) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  5114

. 
. reghdfe Capacity contdim_l1 $lags $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,969
Absorbing 2 HDFE groups                           F(  15,    137) =     332.40
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9723
                                                  Adj R-squared   =     0.9712
                                                  Within R-sq.    =     0.7378
Number of clusters (ccode)   =        138         Root MSE        =     0.1656

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  contdim_l1 |   .0385918   .0144932     2.66   0.009     .0099325    .0672511
 Capacity_l1 |   .7426551    .031115    23.87   0.000     .6811274    .8041828
 Capacity_l2 |   .0781856   .0249542     3.13   0.002     .0288403    .1275308
    lnpop_l1 |  -.0691264    .039135    -1.77   0.080    -.1465131    .0082604
      elf_l1 |  -.0953718   .0392757    -2.43   0.016    -.1730367   -.0177069
   logGDP_l1 |    .095398   .0195511     4.88   0.000     .0567372    .1340589
     agri_l1 |  -.0336846   .0711382    -0.47   0.637    -.1743555    .1069863
 literacy_l1 |  -.0708776   .0617167    -1.15   0.253    -.1929181    .0511629
      min_l1 |  -.2047532   .0950224    -2.15   0.033    -.3926535   -.0168529
resources_l1 |   .0167057   .0054532     3.06   0.003     .0059224    .0274891
  log_aid_l1 |   .0048383   .0044006     1.10   0.273    -.0038635    .0135401
  exports_l1 |   .0942585   .0277392     3.40   0.001     .0394061    .1491109
  rivalry_l1 |  -.0148081   .0099564    -1.49   0.139    -.0344962    .0048799
   threat_l1 |   .0458317   .0193667     2.37   0.019     .0075353    .0841281
      war_l1 |   .0043906   .0089735     0.49   0.625    -.0133539    .0221351
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           43              44              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 contdim_l1) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  4969

. 
. reghdfe Capacity partdim_l1 $lags $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,970
Absorbing 2 HDFE groups                           F(  15,    137) =     350.32
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9726
                                                  Adj R-squared   =     0.9714
                                                  Within R-sq.    =     0.7470
Number of clusters (ccode)   =        138         Root MSE        =     0.1654

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  partdim_l1 |   .0292496   .0182328     1.60   0.111    -.0068045    .0653037
 Capacity_l1 |    .746821   .0312789    23.88   0.000     .6849691     .808673
 Capacity_l2 |   .0759534   .0247539     3.07   0.003     .0270043    .1249025
    lnpop_l1 |   -.073775   .0395955    -1.86   0.065    -.1520724    .0045224
      elf_l1 |   -.088246    .040606    -2.17   0.031    -.1685415   -.0079505
   logGDP_l1 |   .0940626   .0201612     4.67   0.000     .0541952    .1339301
     agri_l1 |  -.0297896   .0702278    -0.42   0.672    -.1686603    .1090811
 literacy_l1 |  -.0636424   .0636769    -1.00   0.319    -.1895591    .0622743
      min_l1 |  -.2174389   .0958755    -2.27   0.025    -.4070261   -.0278517
resources_l1 |   .0169157   .0053651     3.15   0.002     .0063067    .0275248
  log_aid_l1 |    .005862   .0043753     1.34   0.183    -.0027898    .0145138
  exports_l1 |   .0989238   .0279408     3.54   0.001     .0436728    .1541748
  rivalry_l1 |  -.0170659    .010009    -1.71   0.090     -.036858    .0027261
   threat_l1 |   .0471995   .0200103     2.36   0.020     .0076306    .0867684
      war_l1 |   .0044608   .0089266     0.50   0.618    -.0131908    .0221125
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           43              44              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 partdim_l1) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  4970

. 
. 
. 
. *** for mediation analysis (Figure A8) ***
. /*
> use Data_full, clear
> * Capacity
> global lags = "Capacity_l1 Capacity_l2"
> global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1"
> reghdfe Capacity demo_l1 contdim_l1 partdim_l1 $lags $covar, a(ccode year) 
> keep if e(sample) 
> keep ccode year Capacity demo_l1 contdim_l1 partdim_l1 $lags $covar
> saveold Data_mediation, replace version(11)
> */
. 
. 
. ********************************
. * Table A11. Sumsample
. ********************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. use Data_full, clear

. **excluding solid democracies and post-1991 democracies)
. keep if inlist(type, 1, 2, 3)
(1,464 observations deleted)

. 
. * baseline with control variables
. global lags = "Capacity_l1 Capacity_l2"

. global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1"

. 
. reghdfe Capacity demo_l1 $lags, a(ccode year) cl(ccode)
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      5,450
Absorbing 2 HDFE groups                           F(   3,    135) =    1388.05
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9501
                                                  Adj R-squared   =     0.9484
                                                  Within R-sq.    =     0.7525
Number of clusters (ccode)   =        136         Root MSE        =     0.1936

                                (Std. Err. adjusted for 136 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0301563   .0103355     2.92   0.004     .0097158    .0505967
 Capacity_l1 |   .7788262   .0321776    24.20   0.000     .7151888    .8424635
 Capacity_l2 |   .1066772   .0281226     3.79   0.000     .0510594     .162295
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             136            136 *   | 
        year |           47              48              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 lnpop_l1 elf_l1 $lags, a(ccode year) cl(ccode)
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      4,554
Absorbing 2 HDFE groups                           F(   5,    119) =     416.40
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9500
                                                  Adj R-squared   =     0.9481
                                                  Within R-sq.    =     0.7178
Number of clusters (ccode)   =        120         Root MSE        =     0.1821

                                (Std. Err. adjusted for 120 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0286841   .0111992     2.56   0.012     .0065085    .0508597
    lnpop_l1 |  -.0948032   .0343064    -2.76   0.007    -.1627333   -.0268731
      elf_l1 |  -.0700627   .0481747    -1.45   0.148    -.1654535    .0253282
 Capacity_l1 |   .7751584   .0387545    20.00   0.000     .6984207    .8518962
 Capacity_l2 |   .0916967   .0340757     2.69   0.008     .0242234      .15917
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             120            120 *   | 
        year |           44              45              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 logGDP_l1 agri_l1 literacy_l1 $lags, a(ccode year) cl(ccode)
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      4,475
Absorbing 2 HDFE groups                           F(   6,    115) =     392.17
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9547
                                                  Adj R-squared   =     0.9530
                                                  Within R-sq.    =     0.7367
Number of clusters (ccode)   =        116         Root MSE        =     0.1828

                                (Std. Err. adjusted for 116 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0267012   .0116793     2.29   0.024     .0035668    .0498356
   logGDP_l1 |    .100623   .0180363     5.58   0.000     .0648964    .1363495
     agri_l1 |  -.0297837   .0745281    -0.40   0.690    -.1774094    .1178421
 literacy_l1 |  -.0812718   .0564861    -1.44   0.153    -.1931598    .0306162
 Capacity_l1 |   .7493157   .0330455    22.68   0.000     .6838589    .8147724
 Capacity_l2 |    .081439   .0232449     3.50   0.001     .0353954    .1274826
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             116            116 *   | 
        year |           45              46              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 min_l1 resources_l1 $lags, a(ccode year) cl(ccode)
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      4,731
Absorbing 2 HDFE groups                           F(   5,    123) =     541.07
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9491
                                                  Adj R-squared   =     0.9472
                                                  Within R-sq.    =     0.7353
Number of clusters (ccode)   =        124         Root MSE        =     0.1937

                                (Std. Err. adjusted for 124 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |    .034782   .0110789     3.14   0.002      .012852    .0567119
      min_l1 |  -.0873388   .1249757    -0.70   0.486    -.3347204    .1600429
resources_l1 |   .0116065     .01259     0.92   0.358    -.0133145    .0365275
 Capacity_l1 |   .7593409   .0348393    21.80   0.000     .6903788    .8283031
 Capacity_l2 |   .1164672   .0292205     3.99   0.000      .058627    .1743074
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             124            124 *   | 
        year |           45              46              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 log_aid_l1 exports_l1 $lags, a(ccode year) cl(ccode)
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      5,020
Absorbing 2 HDFE groups                           F(   5,    121) =     918.46
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9523
                                                  Adj R-squared   =     0.9506
                                                  Within R-sq.    =     0.7652
Number of clusters (ccode)   =        122         Root MSE        =     0.1904

                                (Std. Err. adjusted for 122 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0309431   .0101911     3.04   0.003     .0107672    .0511191
  log_aid_l1 |   .0043866   .0044081     1.00   0.322    -.0043403    .0131135
  exports_l1 |   .1208734   .0318819     3.79   0.000     .0577548    .1839921
 Capacity_l1 |   .7803219   .0331569    23.53   0.000     .7146791    .8459647
 Capacity_l2 |   .1023816   .0302991     3.38   0.001     .0423965    .1623668
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             122            122 *   | 
        year |           47              48              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 rivalry_l1 threat_l1 war_l1 $lags, a(ccode year) cl(ccode)
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      5,160
Absorbing 2 HDFE groups                           F(   6,    129) =     584.57
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9512
                                                  Adj R-squared   =     0.9494
                                                  Within R-sq.    =     0.7503
Number of clusters (ccode)   =        130         Root MSE        =     0.1915

                                (Std. Err. adjusted for 130 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0329899   .0106684     3.09   0.002     .0118822    .0540976
  rivalry_l1 |  -.0206762   .0127127    -1.63   0.106    -.0458285    .0044762
   threat_l1 |   .0347423   .0234078     1.48   0.140    -.0115705    .0810551
      war_l1 |    .000694   .0097465     0.07   0.943    -.0185897    .0199777
 Capacity_l1 |    .783121   .0341904    22.90   0.000     .7154744    .8507676
 Capacity_l2 |   .0978238    .030515     3.21   0.002     .0374492    .1581984
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             130            130 *   | 
        year |           47              48              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. reghdfe Capacity demo_l1 $lags $covar, a(ccode year) cl(ccode)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,027
Absorbing 2 HDFE groups                           F(  15,    108) =     237.21
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9551
                                                  Adj R-squared   =     0.9532
                                                  Within R-sq.    =     0.7316
Number of clusters (ccode)   =        109         Root MSE        =     0.1726

                                (Std. Err. adjusted for 109 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   .0237275   .0115462     2.06   0.042      .000841     .046614
 Capacity_l1 |   .7470703   .0344227    21.70   0.000     .6788385    .8153021
 Capacity_l2 |   .0684171   .0267447     2.56   0.012     .0154045    .1214297
    lnpop_l1 |  -.0863802   .0419533    -2.06   0.042    -.1695389   -.0032214
      elf_l1 |  -.0968386    .036324    -2.67   0.009     -.168839   -.0248383
   logGDP_l1 |   .0964801   .0195814     4.93   0.000     .0576664    .1352939
     agri_l1 |  -.0130062   .0716872    -0.18   0.856    -.1551027    .1290902
 literacy_l1 |  -.0009059    .066551    -0.01   0.989    -.1328215    .1310097
      min_l1 |  -.2736549   .0964488    -2.84   0.005    -.4648332   -.0824766
resources_l1 |   .0113681   .0075105     1.51   0.133     -.003519    .0262553
  log_aid_l1 |   .0068854   .0052952     1.30   0.196    -.0036106    .0173813
  exports_l1 |   .1061265   .0291842     3.64   0.000     .0482783    .1639746
  rivalry_l1 |  -.0159043   .0109235    -1.46   0.148    -.0375566     .005748
   threat_l1 |   .0535971   .0218886     2.45   0.016       .01021    .0969842
      war_l1 |   .0060172   .0096763     0.62   0.535    -.0131629    .0251974
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             109            109 *   | 
        year |           44              45              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) nocons
output/out.xml
dir : seeout

. 
. 
. ********************************
. * Table A12. long term averages 
. ********************************
. 
. * look all good
. * the results from RPE are much noiser (but also consistent)
. 
. global covar0 = "lnpop elf logGDP agri literacy min resources log_aid exports rivalry threat war"

. global covar = "L.lnpop L.elf L.logGDP  L.agri L.literacy  L.min L.resources L.log_aid L.exports L.rivalry L.threat L.war"

. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. ** 5 year avearge
. use Data_full, clear

. g yr5 = int((year-1960)/5)

. foreach var of varlist Capacity demo $covar0 {
  2.         bysort ccode yr5: egen `var'_yr5 = mean(`var')
  3.         drop `var'
  4.         ren `var'_yr5 `var'
  5. }
(113 missing values generated)
(634 missing values generated)
(499 missing values generated)
(454 missing values generated)
(212 missing values generated)
(519 missing values generated)
(229 missing values generated)
(375 missing values generated)
(454 missing values generated)
(392 missing values generated)

. keep if mod(year-1960,5)==0 // keep 1960, 1965, 1970 ...
(5,777 observations deleted)

. 
. xtset ccode yr5
       panel variable:  ccode (unbalanced)
        time variable:  yr5, 0 to 9
                delta:  1 unit

. areg Capacity L.demo i.year $covar , a(ccode) cl(ccode) 

Linear regression, absorbing indicators         Number of obs     =      1,014
                                                F(  21,    137)   =      33.51
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9400
                                                Adj R-squared     =     0.9289
                                                Root MSE          =     0.2626

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .1405055   .0622832     2.26   0.026     .0173447    .2636663
             |
        year |
       1970  |   .1837891   .0366429     5.02   0.000     .1113304    .2562478
       1975  |   .4984904   .0633621     7.87   0.000     .3731962    .6237846
       1980  |   .6529424   .0839864     7.77   0.000      .486865    .8190197
       1985  |   .6230509   .1050529     5.93   0.000      .415316    .8307858
       1990  |   .6124347   .1207908     5.07   0.000     .3735792    .8512902
       1995  |   .7089953   .1312817     5.40   0.000     .4493947    .9685959
       2000  |    .650835   .1490136     4.37   0.000      .356171    .9454991
       2005  |   .6076675   .1632566     3.72   0.000     .2848388    .9304962
             |
       lnpop |
         L1. |  -.2836564   .1780777    -1.59   0.113    -.6357927      .06848
             |
         elf |
         L1. |  -.4654914   .2092147    -2.22   0.028    -.8791992   -.0517837
             |
      logGDP |
         L1. |   .4762668   .1019456     4.67   0.000     .2746764    .6778572
             |
        agri |
         L1. |   -.482514   .3170094    -1.52   0.130    -1.109378    .1443502
             |
    literacy |
         L1. |  -.4109255   .3104549    -1.32   0.188    -1.024829    .2029777
             |
         min |
         L1. |  -1.220536   .4091979    -2.98   0.003    -2.029697   -.4113754
             |
   resources |
         L1. |   .0700537    .027672     2.53   0.012     .0153342    .1247732
             |
     log_aid |
         L1. |    .000839   .0217956     0.04   0.969    -.0422603    .0439383
             |
     exports |
         L1. |   .2668071   .1657078     1.61   0.110    -.0608686    .5944829
             |
     rivalry |
         L1. |  -.0259672   .0559719    -0.46   0.643    -.1366479    .0847135
             |
      threat |
         L1. |   .2508886   .1565368     1.60   0.111    -.0586522    .5604295
             |
         war |
         L1. |  -.0123952   .0605249    -0.20   0.838     -.132079    .1072887
             |
       _cons |   -.929422   1.876649    -0.50   0.621    -4.640366    2.781522
-------------+----------------------------------------------------------------
       ccode |   absorbed                                     (138 categories)

. outreg2 using output/out.xml, excel dec(3) keep(L.demo) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  138
Number of records is  1014

. 
. forvalues i= 1/4 {
  2.    areg Capacity L.demo i.year L(1/`i').Capacity $covar, a(ccode) cl(ccode) 
  3.         outreg2 using output/out.xml, excel dec(3) keep(L.demo L(1/`i').Capacity) nocons
  4.         unique ccode if e(sample)
  5. }

Linear regression, absorbing indicators         Number of obs     =      1,014
                                                F(  22,    137)   =      84.41
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9583
                                                Adj R-squared     =     0.9505
                                                Root MSE          =     0.2191

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .1150211   .0434478     2.65   0.009      .029106    .2009362
             |
        year |
       1970  |    .095396   .0339373     2.81   0.006     .0282874    .1625046
       1975  |   .3196239   .0459719     6.95   0.000     .2287177    .4105302
       1980  |   .2987274   .0551204     5.42   0.000     .1897305    .4077243
       1985  |   .1650668   .0711299     2.32   0.022     .0244124    .3057212
       1990  |   .1624719   .0847003     1.92   0.057    -.0050171    .3299609
       1995  |   .2633529   .0886856     2.97   0.004     .0879832    .4387227
       2000  |   .1951219   .0990307     1.97   0.051    -.0007045    .3909482
       2005  |   .1854256   .1063092     1.74   0.083    -.0247935    .3956447
             |
    Capacity |
         L1. |   .5804886   .0340901    17.03   0.000     .5130778    .6478995
             |
       lnpop |
         L1. |  -.2362387   .1120629    -2.11   0.037    -.4578353   -.0146421
             |
         elf |
         L1. |  -.4244137   .1546973    -2.74   0.007     -.730317   -.1185104
             |
      logGDP |
         L1. |   .2112337   .0813578     2.60   0.010     .0503542    .3721132
             |
        agri |
         L1. |  -.0706732   .2163956    -0.33   0.744    -.4985806    .3572342
             |
    literacy |
         L1. |  -.1844758   .2135826    -0.86   0.389    -.6068208    .2378692
             |
         min |
         L1. |   -.752538   .2237165    -3.36   0.001    -1.194922   -.3101541
             |
   resources |
         L1. |   .0301315   .0203715     1.48   0.141    -.0101518    .0704147
             |
     log_aid |
         L1. |   .0117506   .0140317     0.84   0.404     -.015996    .0394973
             |
     exports |
         L1. |   .1629971   .1168282     1.40   0.165    -.0680226    .3940167
             |
     rivalry |
         L1. |  -.0610354   .0361885    -1.69   0.094    -.1325956    .0105249
             |
      threat |
         L1. |   .1951815   .1020713     1.91   0.058    -.0066574    .3970204
             |
         war |
         L1. |   .0449974   .0403921     1.11   0.267    -.0348753    .1248701
             |
       _cons |   .7183697   1.285669     0.56   0.577    -1.823952    3.260691
-------------+----------------------------------------------------------------
       ccode |   absorbed                                     (138 categories)
output/out.xml
dir : seeout
Number of unique values of ccode is  138
Number of records is  1014

Linear regression, absorbing indicators         Number of obs     =        889
                                                F(  22,    136)   =      50.61
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9622
                                                Adj R-squared     =     0.9541
                                                Root MSE          =     0.2145

                                (Std. Err. adjusted for 137 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .1147909   .0428329     2.68   0.008     .0300862    .1994955
             |
        year |
       1975  |   .2124135   .0330172     6.43   0.000       .14712     .277707
       1980  |   .1760011   .0454044     3.88   0.000     .0862112     .265791
       1985  |    .070507   .0578284     1.22   0.225    -.0438522    .1848662
       1990  |    .090951   .0743783     1.22   0.224    -.0561366    .2380386
       1995  |   .1751327    .076886     2.28   0.024      .023086    .3271795
       2000  |   .0766459   .0880933     0.87   0.386     -.097564    .2508557
       2005  |   .1108723     .09775     1.13   0.259    -.0824342    .3041787
             |
    Capacity |
         L1. |   .6920423   .0463911    14.92   0.000     .6003011    .7837836
         L2. |   -.188898    .057492    -3.29   0.001    -.3025919   -.0752041
             |
       lnpop |
         L1. |  -.0752953   .1381647    -0.54   0.587    -.3485245    .1979338
             |
         elf |
         L1. |   -.414361   .2000086    -2.07   0.040    -.8098903   -.0188317
             |
      logGDP |
         L1. |    .217454   .0912901     2.38   0.019     .0369223    .3979856
             |
        agri |
         L1. |  -.1340989    .226474    -0.59   0.555     -.581965    .3137671
             |
    literacy |
         L1. |  -.3031044   .2307176    -1.31   0.191    -.7593624    .1531536
             |
         min |
         L1. |  -.7689841   .2277836    -3.38   0.001     -1.21944   -.3185283
             |
   resources |
         L1. |   .0306574    .021345     1.44   0.153    -.0115537    .0728686
             |
     log_aid |
         L1. |   .0285042   .0148676     1.92   0.057    -.0008973    .0579058
             |
     exports |
         L1. |   .1015367    .136463     0.74   0.458    -.1683271    .3714005
             |
     rivalry |
         L1. |  -.0226173   .0387855    -0.58   0.561    -.0993179    .0540833
             |
      threat |
         L1. |   .2526656   .1012499     2.50   0.014     .0524377    .4528936
             |
         war |
         L1. |   .0336636   .0391336     0.86   0.391    -.0437256    .1110527
             |
       _cons |  -.6789315   1.565427    -0.43   0.665    -3.774658    2.416795
-------------+----------------------------------------------------------------
       ccode |   absorbed                                     (137 categories)
output/out.xml
dir : seeout
Number of unique values of ccode is  137
Number of records is  889

Linear regression, absorbing indicators         Number of obs     =        764
                                                F(  22,    118)   =      28.48
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9626
                                                Adj R-squared     =     0.9542
                                                Root MSE          =     0.2183

                                (Std. Err. adjusted for 119 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .1135863    .047533     2.39   0.018      .019458    .2077146
             |
        year |
       1980  |  -.0208472   .0408439    -0.51   0.611    -.1017293    .0600348
       1985  |  -.1090548   .0570968    -1.91   0.059     -.222122    .0040124
       1990  |  -.0729118   .0907978    -0.80   0.424    -.2527162    .1068925
       1995  |   .0241983   .0927115     0.26   0.795    -.1593957    .2077923
       2000  |  -.0708813   .1060225    -0.67   0.505    -.2808348    .1390722
       2005  |  -.0366096   .1157004    -0.32   0.752    -.2657278    .1925086
             |
    Capacity |
         L1. |   .6468456   .0473906    13.65   0.000     .5529994    .7406919
         L2. |  -.1762648    .049889    -3.53   0.001    -.2750585    -.077471
         L3. |  -.0324116   .0486586    -0.67   0.507     -.128769    .0639457
             |
       lnpop |
         L1. |  -.1081456   .1663013    -0.65   0.517    -.4374675    .2211763
             |
         elf |
         L1. |  -.4134964   .2377227    -1.74   0.085     -.884252    .0572592
             |
      logGDP |
         L1. |   .2732666   .0996949     2.74   0.007     .0758437    .4706896
             |
        agri |
         L1. |  -.0743748   .2536434    -0.29   0.770    -.5766579    .4279082
             |
    literacy |
         L1. |  -.4032869   .3284222    -1.23   0.222    -1.053652    .2470785
             |
         min |
         L1. |  -.8372508   .2168457    -3.86   0.000    -1.266664   -.4078373
             |
   resources |
         L1. |    .031794   .0255539     1.24   0.216    -.0188096    .0823976
             |
     log_aid |
         L1. |   .0274147    .016545     1.66   0.100    -.0053489    .0601783
             |
     exports |
         L1. |   .0795422   .1459552     0.54   0.587    -.2094889    .3685734
             |
     rivalry |
         L1. |  -.0354132   .0420414    -0.84   0.401    -.1186666    .0478402
             |
      threat |
         L1. |    .296073   .1106061     2.68   0.008     .0770429    .5151031
             |
         war |
         L1. |   .0138456   .0395732     0.35   0.727    -.0645201    .0922113
             |
       _cons |  -.5635133   1.844101    -0.31   0.760    -4.215334    3.088308
-------------+----------------------------------------------------------------
       ccode |   absorbed                                     (119 categories)
output/out.xml
dir : seeout
Number of unique values of ccode is  119
Number of records is  764

Linear regression, absorbing indicators         Number of obs     =        650
                                                F(  22,    116)   =      21.32
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9659
                                                Adj R-squared     =     0.9567
                                                Root MSE          =     0.2177

                                (Std. Err. adjusted for 117 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .1220531   .0501604     2.43   0.016     .0227041    .2214021
             |
        year |
       1985  |  -.0984586   .0428326    -2.30   0.023     -.183294   -.0136231
       1990  |  -.0777398   .0826023    -0.94   0.349     -.241344    .0858645
       1995  |   .0342571   .0880103     0.39   0.698    -.1400583    .2085726
       2000  |  -.0434743   .1042238    -0.42   0.677    -.2499027    .1629541
       2005  |  -.0198111   .1146809    -0.17   0.863     -.246951    .2073288
             |
    Capacity |
         L1. |   .5839769   .0521225    11.20   0.000     .4807418    .6872121
         L2. |  -.1791231    .056026    -3.20   0.002    -.2900896   -.0681567
         L3. |     .06582   .0723926     0.91   0.365    -.0775627    .2092027
         L4. |  -.1331302   .0519756    -2.56   0.012    -.2360745   -.0301859
             |
       lnpop |
         L1. |   .0021092   .1942154     0.01   0.991    -.3825589    .3867773
             |
         elf |
         L1. |  -.3694189   .2649341    -1.39   0.166    -.8941543    .1553166
             |
      logGDP |
         L1. |   .3253487   .1284906     2.53   0.013     .0708569    .5798405
             |
        agri |
         L1. |   .0650047    .301546     0.22   0.830    -.5322451    .6622544
             |
    literacy |
         L1. |  -.3484919   .4418067    -0.79   0.432    -1.223546     .526562
             |
         min |
         L1. |   -.881277   .2503409    -3.52   0.001    -1.377109   -.3854452
             |
   resources |
         L1. |    .020565   .0394723     0.52   0.603    -.0576148    .0987448
             |
     log_aid |
         L1. |   .0214351   .0202577     1.06   0.292    -.0186878     .061558
             |
     exports |
         L1. |   .0389026   .1667115     0.23   0.816    -.2912905    .3690956
             |
     rivalry |
         L1. |  -.0219593   .0449861    -0.49   0.626    -.1110599    .0671413
             |
      threat |
         L1. |   .3850605   .1663077     2.32   0.022     .0556672    .7144539
             |
         war |
         L1. |   .0273242   .0485953     0.56   0.575    -.0689249    .1235734
             |
       _cons |  -2.127161    2.32023    -0.92   0.361    -6.722669    2.468348
-------------+----------------------------------------------------------------
       ccode |   absorbed                                     (117 categories)
output/out.xml
dir : seeout
Number of unique values of ccode is  117
Number of records is  650

.         
. ** 10 year average
. use Data_full, clear

. g yr10 = int((year-1960)/10)

. foreach var of varlist Capacity demo $covar0 {
  2.         bysort ccode yr10: egen `var'_yr10= mean(`var')
  3.         drop `var'
  4.         ren `var'_yr10 `var'
  5. }
(103 missing values generated)
(629 missing values generated)
(494 missing values generated)
(454 missing values generated)
(99 missing values generated)
(514 missing values generated)
(219 missing values generated)
(375 missing values generated)
(454 missing values generated)
(383 missing values generated)

. keep if mod(year-1960,10)==0 // keep 1960, 1970 ...
(6,501 observations deleted)

. 
. xtset ccode yr10
       panel variable:  ccode (unbalanced)
        time variable:  yr10, 0 to 4
                delta:  1 unit

. areg Capacity L.demo i.year $covar, a(ccode) cl(ccode) 

Linear regression, absorbing indicators         Number of obs     =        427
                                                F(  16,    118)   =      10.64
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9526
                                                Adj R-squared     =     0.9309
                                                Root MSE          =     0.2627

                                (Std. Err. adjusted for 119 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .2134066   .1027269     2.08   0.040     .0099794    .4168338
             |
        year |
       1980  |   .2992334   .0777163     3.85   0.000      .145334    .4531328
       1990  |   .3021223   .1302026     2.32   0.022     .0442857    .5599589
       2000  |   .3081186   .1781774     1.73   0.086    -.0447211    .6609584
             |
       lnpop |
         L1. |  -.3437607   .3117512    -1.10   0.272     -.961113    .2735917
             |
         elf |
         L1. |  -.6950401   .3198251    -2.17   0.032    -1.328381   -.0616994
             |
      logGDP |
         L1. |    .450267   .1649361     2.73   0.007     .1236485    .7768854
             |
        agri |
         L1. |  -.2390527   .4744991    -0.50   0.615     -1.17869    .7005847
             |
    literacy |
         L1. |  -.5363495   .5348872    -1.00   0.318    -1.595572    .5228728
             |
         min |
         L1. |  -1.048319   .6436859    -1.63   0.106    -2.322992    .2263547
             |
   resources |
         L1. |   .0440871   .0405499     1.09   0.279    -.0362128     .124387
             |
     log_aid |
         L1. |   .0217299   .0395286     0.55   0.584    -.0565475    .1000073
             |
     exports |
         L1. |    .408318   .2696753     1.51   0.133    -.1257126    .9423486
             |
     rivalry |
         L1. |  -.0729707   .0833026    -0.88   0.383    -.2379325    .0919912
             |
      threat |
         L1. |   .0419062   .2721155     0.15   0.878    -.4969565    .5807689
             |
         war |
         L1. |    .071801   .1015121     0.71   0.481    -.1292205    .2728226
             |
       _cons |   .1175083   3.245668     0.04   0.971    -6.309797    6.544814
-------------+----------------------------------------------------------------
       ccode |   absorbed                                     (119 categories)

. outreg2 using output/out.xml, excel dec(3) keep(L.demo) nocons
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  119
Number of records is  427

. 
. forvalues i= 1/2 {
  2.    areg Capacity L.demo i.year L(1/`i').Capacity $covar, a(ccode) cl(ccode) 
  3.         outreg2 using output/out.xml, excel dec(3) keep(L.demo L(1/`i').Capacity) nocons
  4.         unique ccode if e(sample)
  5. }

Linear regression, absorbing indicators         Number of obs     =        427
                                                F(  17,    118)   =      13.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9557
                                                Adj R-squared     =     0.9352
                                                Root MSE          =     0.2543

                                (Std. Err. adjusted for 119 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .2017083   .0941726     2.14   0.034     .0152209    .3881957
             |
        year |
       1980  |   .1839347    .068709     2.68   0.008     .0478722    .3199972
       1990  |   .0843843   .1205988     0.70   0.485    -.1544341    .3232027
       2000  |   .0895575    .159743     0.56   0.576    -.2267771    .4058921
             |
    Capacity |
         L1. |   .2898364   .0828332     3.50   0.001     .1258042    .4538686
             |
       lnpop |
         L1. |  -.3044018   .2937182    -1.04   0.302    -.8860437    .2772401
             |
         elf |
         L1. |  -.6585089   .3099919    -2.12   0.036    -1.272377   -.0446406
             |
      logGDP |
         L1. |   .3397228   .1808517     1.88   0.063    -.0184127    .6978584
             |
        agri |
         L1. |   .0380581   .4344541     0.09   0.930    -.8222793    .8983954
             |
    literacy |
         L1. |  -.4558163   .5246059    -0.87   0.387    -1.494679    .5830462
             |
         min |
         L1. |  -.9747222   .6042569    -1.61   0.109    -2.171315    .2218709
             |
   resources |
         L1. |   .0304034   .0408628     0.74   0.458    -.0505161    .1113228
             |
     log_aid |
         L1. |   .0336498   .0363779     0.93   0.357    -.0383882    .1056879
             |
     exports |
         L1. |   .3226104    .247766     1.30   0.195    -.1680337    .8132546
             |
     rivalry |
         L1. |  -.0873985   .0782823    -1.12   0.266    -.2424187    .0676217
             |
      threat |
         L1. |   .0126925   .2737466     0.05   0.963    -.5294002    .5547852
             |
         war |
         L1. |   .1163578   .0897806     1.30   0.197    -.0614323     .294148
             |
       _cons |    .623831   3.244616     0.19   0.848    -5.801393    7.049055
-------------+----------------------------------------------------------------
       ccode |   absorbed                                     (119 categories)
output/out.xml
dir : seeout
Number of unique values of ccode is  119
Number of records is  427

Linear regression, absorbing indicators         Number of obs     =        318
                                                F(  17,    116)   =       5.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.9670
                                                Adj R-squared     =     0.9431
                                                Root MSE          =     0.2485

                                (Std. Err. adjusted for 117 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        demo |
         L1. |   .1508774   .1142565     1.32   0.189    -.0754219    .3771767
             |
        year |
       1990  |   .0265687   .0964001     0.28   0.783    -.1643639    .2175013
       2000  |   .1068207   .1586246     0.67   0.502    -.2073553    .4209968
             |
    Capacity |
         L1. |   .2755985   .1158562     2.38   0.019     .0461307    .5050663
         L2. |    -.31797   .0983753    -3.23   0.002    -.5128147   -.1231253
             |
       lnpop |
         L1. |  -.1059396   .4034676    -0.26   0.793    -.9050581    .6931788
             |
         elf |
         L1. |  -.5830652   .3914981    -1.49   0.139    -1.358477    .1923461
             |
      logGDP |
         L1. |   .6010083   .2473861     2.43   0.017     .1110289    1.090988
             |
        agri |
         L1. |   .0678432    .609925     0.11   0.912     -1.14019    1.275876
             |
    literacy |
         L1. |   -.546139   .7845327    -0.70   0.488    -2.100005    1.007727
             |
         min |
         L1. |  -1.002618   1.051652    -0.95   0.342    -3.085547    1.080311
             |
   resources |
         L1. |   .0137642   .0588919     0.23   0.816    -.1028785     .130407
             |
     log_aid |
         L1. |   .0012869   .0422052     0.03   0.976    -.0823058    .0848795
             |
     exports |
         L1. |   .0071587   .3574689     0.02   0.984    -.7008534    .7151709
             |
     rivalry |
         L1. |  -.1109431   .1052512    -1.05   0.294    -.3194064    .0975202
             |
      threat |
         L1. |   .2345381   .3175113     0.74   0.462     -.394333    .8634093
             |
         war |
         L1. |   .0591863   .1064871     0.56   0.579    -.1517249    .2700975
             |
       _cons |  -3.077654   4.559339    -0.68   0.501      -12.108    5.952692
-------------+----------------------------------------------------------------
       ccode |   absorbed                                     (117 categories)
output/out.xml
dir : seeout
Number of unique values of ccode is  117
Number of records is  318

. 
. *************************************
. ** Table A13. Initial State Capacity 
. *************************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. use Data_full, clear

. global lags = "Capacity_l1 Capacity_l2"

. global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 rivalry_l1 threat_l1 war_l1"

. 
. reghdfe Capacity demo_l1 $lags, a(ccode year) cl(ccode) 
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      6,838
Absorbing 2 HDFE groups                           F(   3,    173) =    2080.62
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9665
                                                  Adj R-squared   =     0.9653
                                                  Within R-sq.    =     0.7633
Number of clusters (ccode)   =        174         Root MSE        =     0.1852

                                (Std. Err. adjusted for 174 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |    .023556   .0096909     2.43   0.016     .0044283    .0426836
 Capacity_l1 |   .7794987   .0285958    27.26   0.000     .7230571    .8359402
 Capacity_l2 |   .1128709   .0254559     4.43   0.000     .0626268    .1631151
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             174            174 *   | 
        year |           47              48              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 $lags) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  174
Number of records is  6838

. 
. reghdfe Capacity demo_l1 $lags c.init_Capacity#i.year, a(ccode year) cl(ccode) 
(converged in 6 iterations)
note: 1960b.year#c.init_Capacity omitted because of collinearity
note: 1961.year#c.init_Capacity omitted because of collinearity
note: 1962.year#c.init_Capacity omitted because of collinearity

HDFE Linear regression                            Number of obs   =      5,938
Absorbing 2 HDFE groups                           F(  50,    130) =     332.59
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9725
                                                  Adj R-squared   =     0.9714
                                                  Within R-sq.    =     0.8030
Number of clusters (ccode)   =        131         Root MSE        =     0.1706

                                        (Std. Err. adjusted for 131 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
            Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
             demo_l1 |   .0221054   .0090182     2.45   0.016      .004264    .0399468
         Capacity_l1 |   .8280724    .031111    26.62   0.000     .7665229    .8896218
         Capacity_l2 |   .0815062   .0280408     2.91   0.004     .0260308    .1369815
                     |
year#c.init_Capacity |
               1960  |          0  (empty)
               1961  |          0  (empty)
               1962  |          0  (empty)
               1963  |  -.0843068   .0218597    -3.86   0.000    -.1275536   -.0410599
               1964  |  -.0042978   .0131086    -0.33   0.744    -.0302315    .0216359
               1965  |  -.0525082   .0173674    -3.02   0.003    -.0868675   -.0181488
               1966  |  -.0201523   .0148289    -1.36   0.177    -.0494896    .0091849
               1967  |  -.0253425   .0132475    -1.91   0.058    -.0515511    .0008661
               1968  |  -.0044018   .0144947    -0.30   0.762    -.0330779    .0242742
               1969  |  -.0032029   .0152087    -0.21   0.834    -.0332915    .0268857
               1970  |   .0807296   .0179049     4.51   0.000     .0453069    .1161522
               1971  |    .009037   .0249421     0.36   0.718     -.040308     .058382
               1972  |   .0389016   .0209996     1.85   0.066    -.0026435    .0804468
               1973  |   .0444786   .0171359     2.60   0.011     .0105773    .0783798
               1974  |    .010724   .0161862     0.66   0.509    -.0212984    .0427465
               1975  |  -.0738625   .0239538    -3.08   0.002    -.1212522   -.0264727
               1976  |  -.0080968   .0194868    -0.42   0.678    -.0466491    .0304554
               1977  |   .0056004   .0211872     0.26   0.792    -.0363159    .0475168
               1978  |  -.0080836   .0168343    -0.48   0.632    -.0413882     .025221
               1979  |   .0339349   .0144368     2.35   0.020     .0053735    .0624964
               1980  |  -.0234014   .0168341    -1.39   0.167    -.0567057    .0099029
               1981  |   -.034872   .0184745    -1.89   0.061    -.0714216    .0016775
               1982  |   .0376532   .0217913     1.73   0.086    -.0054582    .0807646
               1983  |   .0108495   .0166468     0.65   0.516    -.0220843    .0437833
               1984  |   .0261455   .0177861     1.47   0.144    -.0090421    .0613331
               1985  |  -.0046435   .0185436    -0.25   0.803    -.0413298    .0320428
               1986  |   .0106137   .0170246     0.62   0.534    -.0230675    .0442949
               1987  |   .0223457   .0172306     1.30   0.197     -.011743    .0564344
               1988  |   .0176927   .0173094     1.02   0.309    -.0165518    .0519373
               1989  |  -.0126354   .0183807    -0.69   0.493    -.0489994    .0237285
               1990  |   .0174054   .0302027     0.58   0.565     -.042347    .0771577
               1991  |   .1161935   .0347146     3.35   0.001     .0475149    .1848721
               1992  |   .0172805   .0315065     0.55   0.584    -.0450515    .0796124
               1993  |  -.0100014   .0259998    -0.38   0.701    -.0614388     .041436
               1994  |   .0086669   .0185591     0.47   0.641      -.02805    .0453838
               1995  |  -.0842808    .021443    -3.93   0.000    -.1267033   -.0418584
               1996  |   .0100503   .0159289     0.63   0.529    -.0214632    .0415638
               1997  |   .0301687   .0319525     0.94   0.347    -.0330454    .0933829
               1998  |   .0112446   .0232909     0.48   0.630    -.0348336    .0573229
               1999  |   .0092009   .0219856     0.42   0.676    -.0342949    .0526968
               2000  |   .0524599    .020891     2.51   0.013     .0111296    .0937901
               2001  |  -.0089067   .0203282    -0.44   0.662    -.0491236    .0313101
               2002  |   .0053585   .0223677     0.24   0.811    -.0388934    .0496104
               2003  |   .0179551   .0238811     0.75   0.453    -.0292908     .065201
               2004  |   .0169599   .0262059     0.65   0.519    -.0348853    .0688052
               2005  |   -.006185   .0259984    -0.24   0.812    -.0576198    .0452498
               2006  |   .0592536   .0204029     2.90   0.004     .0188888    .0996183
               2007  |   .0397151   .0219813     1.81   0.073    -.0037722    .0832024
               2008  |   .0023328   .0230236     0.10   0.919    -.0432166    .0478822
               2009  |   -.016799   .0262381    -0.64   0.523     -.068708    .0351099
--------------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------------------------+
         Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
---------------------+-------------------------------------------------|
               ccode |            0             131            131 *   | 
                year |           47              48              1     | 
-----------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 $lags) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  131
Number of records is  5938

. 
. reghdfe Capacity demo_l1 $lags c.init_xDemavg#i.year, a(ccode year) cl(ccode) 
(converged in 6 iterations)
note: 1960b.year#c.init_xDemavg omitted because of collinearity
note: 1961.year#c.init_xDemavg omitted because of collinearity
note: 1962.year#c.init_xDemavg omitted because of collinearity

HDFE Linear regression                            Number of obs   =      5,890
Absorbing 2 HDFE groups                           F(  50,    128) =     501.99
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9721
                                                  Adj R-squared   =     0.9710
                                                  Within R-sq.    =     0.7990
Number of clusters (ccode)   =        129         Root MSE        =     0.1722

                                       (Std. Err. adjusted for 129 clusters in ccode)
-------------------------------------------------------------------------------------
                    |               Robust
           Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
            demo_l1 |   .0286636   .0093655     3.06   0.003     .0101324    .0471947
        Capacity_l1 |   .8321805    .030453    27.33   0.000     .7719241    .8924369
        Capacity_l2 |   .0735316   .0268601     2.74   0.007     .0203844    .1266788
                    |
year#c.init_xDemavg |
              1960  |          0  (empty)
              1961  |          0  (empty)
              1962  |          0  (empty)
              1963  |  -.0452406   .0504577    -0.90   0.372    -.1450798    .0545986
              1964  |   .0349655   .0340069     1.03   0.306     -.032323    .1022541
              1965  |  -.0343638    .035579    -0.97   0.336    -.1047629    .0360353
              1966  |   .0289117   .0317404     0.91   0.364     -.033892    .0917155
              1967  |   -.020656   .0351074    -0.59   0.557    -.0901221      .04881
              1968  |  -.0285583   .0334858    -0.85   0.395    -.0948156     .037699
              1969  |  -.0095267   .0355693    -0.27   0.789    -.0799067    .0608532
              1970  |   .0958227   .0473933     2.02   0.045     .0020469    .1895985
              1971  |   .0273378   .0468226     0.58   0.560    -.0653087    .1199843
              1972  |   .0304165    .046018     0.66   0.510     -.060638     .121471
              1973  |   .0558757   .0403201     1.39   0.168    -.0239046    .1356559
              1974  |    .027094   .0340038     0.80   0.427    -.0401884    .0943764
              1975  |   .0855273   .0537361     1.59   0.114    -.0207987    .1918533
              1976  |   .1117572   .0539384     2.07   0.040     .0050308    .2184836
              1977  |   .0640459   .0416111     1.54   0.126    -.0182888    .1463805
              1978  |   .0359139   .0441419     0.81   0.417    -.0514283    .1232561
              1979  |   .1137819   .0423611     2.69   0.008     .0299632    .1976006
              1980  |   .0329837   .0453706     0.73   0.469    -.0567898    .1227571
              1981  |   .0807351   .0511126     1.58   0.117    -.0203998      .18187
              1982  |   .0471369   .0569352     0.83   0.409    -.0655191     .159793
              1983  |   .0884912   .0491307     1.80   0.074    -.0087223    .1857047
              1984  |     .01559   .0483784     0.32   0.748    -.0801349    .1113149
              1985  |   .0908906   .0480054     1.89   0.061    -.0040963    .1858775
              1986  |   .0767278   .0443251     1.73   0.086    -.0109769    .1644326
              1987  |    -.03767   .0615293    -0.61   0.541    -.1594163    .0840762
              1988  |   .0536415   .0396676     1.35   0.179    -.0248477    .1321306
              1989  |   .0435416   .0559598     0.78   0.438    -.0671844    .1542676
              1990  |   .1448879   .0704524     2.06   0.042     .0054858    .2842901
              1991  |   .0021907   .1066141     0.02   0.984    -.2087634    .2131449
              1992  |   .0567413   .0685434     0.83   0.409    -.0788836    .1923662
              1993  |   .0776484   .0817718     0.95   0.344    -.0841511    .2394479
              1994  |   .1077641    .043959     2.45   0.016     .0207837    .1947445
              1995  |   .0395228     .05552     0.71   0.478     -.070333    .1493786
              1996  |   .0731344   .0461603     1.58   0.116    -.0182016    .1644704
              1997  |   .1468988   .0635095     2.31   0.022     .0212345    .2725632
              1998  |    .058733   .0517502     1.13   0.259    -.0436636    .1611297
              1999  |    .040109    .049896     0.80   0.423    -.0586188    .1388368
              2000  |   .0589017   .0605665     0.97   0.333    -.0609396    .1787429
              2001  |   .0687225   .0546004     1.26   0.210    -.0393137    .1767587
              2002  |   .1378898   .0598815     2.30   0.023     .0194041    .2563755
              2003  |   .0089023   .0743756     0.12   0.905    -.1382626    .1560672
              2004  |   .1381646   .0667348     2.07   0.040     .0061185    .2702108
              2005  |    .036726   .0597045     0.62   0.540    -.0814096    .1548616
              2006  |   .0456824   .0587299     0.78   0.438    -.0705248    .1618896
              2007  |   .0397439   .0620799     0.64   0.523    -.0830919    .1625796
              2008  |   .0184387   .0520492     0.35   0.724    -.0845496     .121427
              2009  |     .01419   .0649793     0.22   0.827    -.1143825    .1427626
-------------------------------------------------------------------------------------

Absorbed degrees of freedom:
----------------------------------------------------------------------+
        Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
--------------------+-------------------------------------------------|
              ccode |            0             129            129 *   | 
               year |           47              48              1     | 
----------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 $lags) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  129
Number of records is  5890

. 
. reghdfe Capacity demo_l1 $lags c.init_StateHist#i.year, a(ccode year) cl(ccode) 
(converged in 6 iterations)
note: 1960b.year#c.init_StateHist omitted because of collinearity
note: 1961.year#c.init_StateHist omitted because of collinearity
note: 1963.year#c.init_StateHist omitted because of collinearity

HDFE Linear regression                            Number of obs   =      6,395
Absorbing 2 HDFE groups                           F(  50,    154) =     319.60
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9681
                                                  Adj R-squared   =     0.9667
                                                  Within R-sq.    =     0.7800
Number of clusters (ccode)   =        155         Root MSE        =     0.1813

                                         (Std. Err. adjusted for 155 clusters in ccode)
---------------------------------------------------------------------------------------
                      |               Robust
             Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
              demo_l1 |   .0252132   .0095245     2.65   0.009     .0063976    .0440287
          Capacity_l1 |   .7911666   .0296163    26.71   0.000     .7326599    .8496733
          Capacity_l2 |   .1078872   .0267101     4.04   0.000     .0551218    .1606527
                      |
year#c.init_StateHist |
                1960  |          0  (empty)
                1961  |          0  (empty)
                1962  |  -.0230797   .0747707    -0.31   0.758    -.1707883    .1246289
                1963  |          0  (empty)
                1964  |  -.0541909   .0722997    -0.75   0.455    -.1970181    .0886363
                1965  |  -.0991935   .0728665    -1.36   0.175    -.2431404    .0447533
                1966  |  -.0243492   .0681317    -0.36   0.721    -.1589427    .1102442
                1967  |  -.0346945   .0701616    -0.49   0.622    -.1732978    .1039088
                1968  |   .0250913   .0710067     0.35   0.724    -.1151816    .1653642
                1969  |   .0002446   .0717874     0.00   0.997    -.1415707    .1420598
                1970  |   .1040798   .0973374     1.07   0.287    -.0882091    .2963686
                1971  |   .1284832   .1164035     1.10   0.271    -.1014705     .358437
                1972  |   .0584239   .0992586     0.59   0.557    -.1376603    .2545082
                1973  |   .0504336   .0944173     0.53   0.594    -.1360867    .2369539
                1974  |   -.041888   .0922227    -0.45   0.650    -.2240727    .1402968
                1975  |  -.0385076   .0895747    -0.43   0.668    -.2154614    .1384461
                1976  |  -.0929973   .0959342    -0.97   0.334    -.2825142    .0965197
                1977  |  -.0460288   .0904847    -0.51   0.612    -.2247803    .1327226
                1978  |  -.0077323   .0805979    -0.10   0.924    -.1669525    .1514879
                1979  |  -.0397065    .113588    -0.35   0.727    -.2640982    .1846852
                1980  |  -.1102584   .0823397    -1.34   0.183    -.2729195    .0524026
                1981  |  -.1560725   .0943227    -1.65   0.100    -.3424058    .0302608
                1982  |     .18833   .1261255     1.49   0.137    -.0608295    .4374895
                1983  |  -.0107231   .0892571    -0.12   0.905    -.1870494    .1656032
                1984  |   .1180491   .0897217     1.32   0.190    -.0591952    .2952933
                1985  |  -.0520208    .088508    -0.59   0.558    -.2268673    .1228256
                1986  |   .0544191   .1047125     0.52   0.604    -.1524392    .2612774
                1987  |   .0376096    .097699     0.38   0.701    -.1553936    .2306127
                1988  |   .0525801    .089986     0.58   0.560    -.1251862    .2303463
                1989  |   .0037639   .0906564     0.04   0.967    -.1753268    .1828546
                1990  |   .1296317   .1012407     1.28   0.202    -.0703681    .3296316
                1991  |   .0470101   .1471682     0.32   0.750    -.2437189    .3377391
                1992  |   .1820927   .1269974     1.43   0.154    -.0687891    .4329744
                1993  |  -.0967522    .104391    -0.93   0.355    -.3029754     .109471
                1994  |     .06526   .0828745     0.79   0.432    -.0984577    .2289776
                1995  |  -.0682847   .0784465    -0.87   0.385    -.2232548    .0866854
                1996  |   .0432081   .0835307     0.52   0.606    -.1218058    .2082219
                1997  |  -.0297714    .110139    -0.27   0.787    -.2473497    .1878069
                1998  |   .0308213   .0955118     0.32   0.747    -.1578612    .2195038
                1999  |   .0727247   .0891245     0.82   0.416    -.1033397    .2487891
                2000  |   .1668847   .0977531     1.71   0.090    -.0262253    .3599947
                2001  |  -.0152666   .0911684    -0.17   0.867    -.1953687    .1648355
                2002  |   .0291535   .1067248     0.27   0.785    -.1816801    .2399871
                2003  |   .0669191   .1031272     0.65   0.517    -.1368076    .2706457
                2004  |  -.0693423   .1328774    -0.52   0.603    -.3318399    .1931554
                2005  |   .0354367   .0963132     0.37   0.713     -.154829    .2257023
                2006  |  -.0083911   .0989928    -0.08   0.933    -.2039502    .1871679
                2007  |   .0977733   .0953793     1.03   0.307    -.0906473    .2861939
                2008  |   .0510738   .1106439     0.46   0.645    -.1675018    .2696495
                2009  |   .0129924   .0857697     0.15   0.880    -.1564447    .1824295
---------------------------------------------------------------------------------------

Absorbed degrees of freedom:
------------------------------------------------------------------------+
          Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
----------------------+-------------------------------------------------|
                ccode |            0             155            155 *   | 
                 year |           47              48              1     | 
------------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 $lags) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  155
Number of records is  6395

. 
. reghdfe Capacity demo_l1 $lags c.init_Capacity#i.year c.init_StateHist#i.year, a(ccode year) cl(ccode) 
(converged in 6 iterations)
note: 1960b.year#c.init_Capacity omitted because of collinearity
note: 1961.year#c.init_Capacity omitted because of collinearity
note: 1963.year#c.init_Capacity omitted because of collinearity
note: 1960b.year#c.init_StateHist omitted because of collinearity
note: 1961.year#c.init_StateHist omitted because of collinearity
note: 1963.year#c.init_StateHist omitted because of collinearity

HDFE Linear regression                            Number of obs   =      5,666
Absorbing 2 HDFE groups                           F(  97,    120) =    1387.81
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9739
                                                  Adj R-squared   =     0.9726
                                                  Within R-sq.    =     0.8134
Number of clusters (ccode)   =        121         Root MSE        =     0.1687

                                         (Std. Err. adjusted for 121 clusters in ccode)
---------------------------------------------------------------------------------------
                      |               Robust
             Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
              demo_l1 |   .0231175   .0089385     2.59   0.011     .0054199     .040815
          Capacity_l1 |   .8289552    .031916    25.97   0.000     .7657637    .8921467
          Capacity_l2 |   .0824004   .0288421     2.86   0.005     .0252949    .1395058
                      |
 year#c.init_Capacity |
                1960  |          0  (empty)
                1961  |          0  (empty)
                1962  |   .0833503   .0217915     3.82   0.000     .0402047     .126496
                1963  |          0  (empty)
                1964  |   .0886789   .0192718     4.60   0.000     .0505221    .1268356
                1965  |   .0383401     .02358     1.63   0.107    -.0083466    .0850269
                1966  |   .0681588   .0195066     3.49   0.001      .029537    .1067806
                1967  |   .0616237   .0203513     3.03   0.003     .0213295    .1019179
                1968  |   .0852603   .0185016     4.61   0.000     .0486283    .1218923
                1969  |    .076632   .0190067     4.03   0.000     .0390001    .1142639
                1970  |   .1685329   .0252098     6.69   0.000     .1186192    .2184465
                1971  |    .096143   .0401029     2.40   0.018     .0167421     .175544
                1972  |   .1301026   .0340133     3.83   0.000     .0627586    .1974465
                1973  |   .1297344     .02546     5.10   0.000     .0793253    .1801435
                1974  |   .1085627    .024284     4.47   0.000     .0604821    .1566433
                1975  |   .0214797   .0268855     0.80   0.426    -.0317516    .0747111
                1976  |   .1001639   .0229906     4.36   0.000     .0546441    .1456836
                1977  |    .100592   .0256488     3.92   0.000     .0498092    .1513749
                1978  |   .0850615    .026047     3.27   0.001     .0334902    .1366327
                1979  |   .1295243    .022785     5.68   0.000     .0844117     .174637
                1980  |   .0736426   .0223904     3.29   0.001     .0293111    .1179741
                1981  |    .068676   .0241329     2.85   0.005     .0208945    .1164574
                1982  |   .1278931   .0268972     4.75   0.000     .0746386    .1811477
                1983  |   .1019024   .0220447     4.62   0.000     .0582553    .1455494
                1984  |   .1113416   .0258828     4.30   0.000     .0600955    .1625876
                1985  |   .0920129   .0244598     3.76   0.000     .0435842    .1404417
                1986  |   .0973516   .0269581     3.61   0.000     .0439765    .1507268
                1987  |   .1045914   .0239184     4.37   0.000     .0572346    .1519481
                1988  |   .1058552   .0240441     4.40   0.000     .0582497    .1534608
                1989  |   .0853347    .022944     3.72   0.000     .0399073    .1307622
                1990  |   .1024608   .0258614     3.96   0.000      .051257    .1536646
                1991  |   .2146612   .0471743     4.55   0.000     .1212593     .308063
                1992  |   .1030396   .0361269     2.85   0.005     .0315108    .1745683
                1993  |   .0856139   .0300755     2.85   0.005     .0260665    .1451614
                1994  |    .098185   .0248348     3.95   0.000     .0490139    .1473561
                1995  |    .007715   .0262024     0.29   0.769     -.044164     .059594
                1996  |    .097117   .0211005     4.60   0.000     .0553394    .1388946
                1997  |    .131485   .0343305     3.83   0.000     .0635129     .199457
                1998  |   .1052144     .02736     3.85   0.000     .0510436    .1593853
                1999  |    .091803   .0243789     3.77   0.000     .0435344    .1400717
                2000  |   .1311751   .0248621     5.28   0.000     .0819498    .1804004
                2001  |   .0837294   .0280388     2.99   0.003     .0282145    .1392444
                2002  |   .0961737   .0319545     3.01   0.003      .032906    .1594413
                2003  |    .107904   .0324813     3.32   0.001     .0435933    .1722146
                2004  |   .1112724   .0283141     3.93   0.000     .0552125    .1673323
                2005  |   .0815948   .0279393     2.92   0.004     .0262769    .1369127
                2006  |   .1581845   .0275103     5.75   0.000     .1037161    .2126529
                2007  |   .1228287   .0283908     4.33   0.000     .0666169    .1790404
                2008  |   .0934127   .0313065     2.98   0.003     .0314281    .1553973
                2009  |   .0729687   .0320582     2.28   0.025     .0094957    .1364417
                      |
year#c.init_StateHist |
                1960  |          0  (empty)
                1961  |          0  (empty)
                1962  |  -.0878747   .0728766    -1.21   0.230    -.2321654    .0564159
                1963  |          0  (empty)
                1964  |  -.1221487    .072292    -1.69   0.094    -.2652818    .0209843
                1965  |  -.1261067   .0734268    -1.72   0.088    -.2714867    .0192732
                1966  |  -.0717425   .0651618    -1.10   0.273    -.2007583    .0572733
                1967  |  -.0792346   .0673312    -1.18   0.242    -.2125457    .0540764
                1968  |  -.0375248    .070083    -0.54   0.593    -.1762843    .1012347
                1969  |  -.0573954   .0686222    -0.84   0.405    -.1932626    .0784718
                1970  |  -.0325493   .0862148    -0.38   0.706    -.2032486    .1381501
                1971  |   .0515259   .1417577     0.36   0.717    -.2291445    .3321962
                1972  |    -.04948   .1092333    -0.45   0.651    -.2657545    .1667944
                1973  |  -.0295645   .0868114    -0.34   0.734     -.201445    .1423159
                1974  |  -.1429551   .0863454    -1.66   0.100     -.313913    .0280027
                1975  |  -.0524456   .0941045    -0.56   0.578    -.2387661    .1338748
                1976  |  -.1692891   .0942534    -1.80   0.075    -.3559043    .0173261
                1977  |  -.1123886   .0892029    -1.26   0.210    -.2890041    .0642269
                1978  |   -.055052   .0781597    -0.70   0.483    -.2098027    .0996987
                1979  |  -.1349293   .1134963    -1.19   0.237    -.3596441    .0897855
                1980  |  -.1686542   .0823271    -2.05   0.043    -.3316562   -.0056522
                1981  |  -.2109318   .0992692    -2.12   0.036    -.4074778   -.0143857
                1982  |   .0177239   .1024612     0.17   0.863    -.1851422    .2205899
                1983  |  -.0675447   .0807287    -0.84   0.404    -.2273819    .0922926
                1984  |    .054143   .0876525     0.62   0.538    -.1194028    .2276887
                1985  |  -.1177792   .0879133    -1.34   0.183    -.2918414    .0562829
                1986  |   -.052792   .1012361    -0.52   0.603    -.2532324    .1476484
                1987  |  -.0129714   .0922118    -0.14   0.888    -.1955444    .1696015
                1988  |  -.0386017   .0846096    -0.46   0.649    -.2061228    .1289194
                1989  |  -.0808499   .0833699    -0.97   0.334    -.2459164    .0842166
                1990  |   .0489834   .0987754     0.50   0.621    -.1465851    .2445518
                1991  |  -.0964932   .1437075    -0.67   0.503     -.381024    .1880375
                1992  |   .0744322   .1241014     0.60   0.550      -.17128    .3201444
                1993  |  -.1090502   .1015912    -1.07   0.285    -.3101938    .0920933
                1994  |  -.0521829   .0798458    -0.65   0.515    -.2102721    .1059063
                1995  |  -.0673324    .091812    -0.73   0.465    -.2491138     .114449
                1996  |  -.0283261   .0819717    -0.35   0.730    -.1906243    .1339722
                1997  |  -.1639765   .1023424    -1.60   0.112    -.3666072    .0386543
                1998  |  -.0856773   .0961838    -0.89   0.375    -.2761145    .1047599
                1999  |   .0242507   .0843668     0.29   0.774    -.1427896     .191291
                2000  |   .0737755   .0958171     0.77   0.443    -.1159357    .2634867
                2001  |  -.0765473   .0975919    -0.78   0.434    -.2697725     .116678
                2002  |  -.0646739   .1091712    -0.59   0.555    -.2808253    .1514775
                2003  |  -.0436608    .110936    -0.39   0.695    -.2633063    .1759847
                2004  |  -.1265441   .1326604    -0.95   0.342    -.3892024    .1361143
                2005  |  -.0179618   .0989205    -0.18   0.856    -.2138175    .1778938
                2006  |  -.1422542   .0972312    -1.46   0.146    -.3347651    .0502568
                2007  |    .015747   .0923005     0.17   0.865    -.1670016    .1984957
                2008  |  -.0586642   .1155448    -0.51   0.613    -.2874349    .1701065
                2009  |  -.0509476    .095114    -0.54   0.593    -.2392667    .1373715
---------------------------------------------------------------------------------------

Absorbed degrees of freedom:
------------------------------------------------------------------------+
          Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
----------------------+-------------------------------------------------|
                ccode |            0             121            121 *   | 
                 year |           47              48              1     | 
------------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 $lags) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)
Number of unique values of ccode is  121
Number of records is  5666

. 
. reghdfe Capacity demo_l1 $lags c.init_Capacity#i.year c.init_StateHist#i.year $covar, a(ccode year) cl(ccode) 
(converged in 6 iterations)
note: 1960b.year#c.init_Capacity omitted because of collinearity
note: 1961.year#c.init_Capacity omitted because of collinearity
note: 1962.year#c.init_Capacity omitted because of collinearity
note: 2007.year#c.init_Capacity omitted because of collinearity
note: 2008.year#c.init_Capacity omitted because of collinearity
note: 2009.year#c.init_Capacity omitted because of collinearity
note: 1960b.year#c.init_StateHist omitted because of collinearity
note: 1961.year#c.init_StateHist omitted because of collinearity
note: 1963.year#c.init_StateHist omitted because of collinearity
note: 2007.year#c.init_StateHist omitted because of collinearity
note: 2008.year#c.init_StateHist omitted because of collinearity
note: 2009.year#c.init_StateHist omitted because of collinearity

HDFE Linear regression                            Number of obs   =      4,697
Absorbing 2 HDFE groups                           F( 103,    110) =    1398.86
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9757
                                                  Adj R-squared   =     0.9743
                                                  Within R-sq.    =     0.7807
Number of clusters (ccode)   =        111         Root MSE        =     0.1603

                                         (Std. Err. adjusted for 111 clusters in ccode)
---------------------------------------------------------------------------------------
                      |               Robust
             Capacity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
              demo_l1 |   .0216877   .0112116     1.93   0.056    -.0005311    .0439066
          Capacity_l1 |   .7575906   .0350506    21.61   0.000     .6881285    .8270528
          Capacity_l2 |   .0817084   .0308057     2.65   0.009     .0206587    .1427581
                      |
 year#c.init_Capacity |
                1960  |          0  (empty)
                1961  |          0  (empty)
                1962  |          0  (empty)
                1963  |  -.0939269    .022433    -4.19   0.000    -.1383839   -.0494699
                1964  |  -.0040593   .0143219    -0.28   0.777    -.0324419    .0243232
                1965  |  -.0413837   .0176656    -2.34   0.021    -.0763927   -.0063746
                1966  |  -.0255476   .0178716    -1.43   0.156    -.0609649    .0098697
                1967  |  -.0407681   .0131987    -3.09   0.003    -.0669249   -.0146114
                1968  |  -.0187002   .0140727    -1.33   0.187    -.0465889    .0091885
                1969  |  -.0306605   .0159778    -1.92   0.058    -.0623248    .0010038
                1970  |   .0620883   .0221477     2.80   0.006     .0181969    .1059798
                1971  |   .0242108   .0197843     1.22   0.224    -.0149971    .0634186
                1972  |   .0496526   .0243313     2.04   0.044     .0014338    .0978715
                1973  |   .0421983   .0199767     2.11   0.037     .0026091    .0817875
                1974  |   .0215942   .0211434     1.02   0.309    -.0203071    .0634954
                1975  |  -.0628202   .0245961    -2.55   0.012    -.1115639   -.0140766
                1976  |   .0142404    .020845     0.68   0.496    -.0270695    .0555503
                1977  |  -.0033026   .0198395    -0.17   0.868    -.0426198    .0360146
                1978  |  -.0025319   .0215049    -0.12   0.906    -.0451496    .0400858
                1979  |   .0311103   .0180154     1.73   0.087     -.004592    .0668125
                1980  |  -.0179006   .0195043    -0.92   0.361    -.0565535    .0207523
                1981  |  -.0164407   .0233024    -0.71   0.482    -.0626207    .0297392
                1982  |   .0290798   .0249042     1.17   0.245    -.0202745    .0784341
                1983  |    .002605   .0184605     0.14   0.888    -.0339794    .0391894
                1984  |   .0074187   .0228445     0.32   0.746    -.0378537    .0526911
                1985  |  -.0090385   .0253007    -0.36   0.722    -.0591787    .0411016
                1986  |   -.003003   .0249222    -0.12   0.904    -.0523929    .0463869
                1987  |   .0099397   .0219775     0.45   0.652    -.0336145    .0534939
                1988  |  -.0026547   .0238321    -0.11   0.912    -.0498844     .044575
                1989  |  -.0218805   .0212139    -1.03   0.305    -.0639214    .0201604
                1990  |  -.0024898   .0260273    -0.10   0.924    -.0540698    .0490901
                1991  |   .1227046   .0448958     2.73   0.007     .0337316    .2116775
                1992  |   .0037804    .036377     0.10   0.917    -.0683103     .075871
                1993  |  -.0207618   .0315534    -0.66   0.512    -.0832931    .0417696
                1994  |    .000059   .0240728     0.00   0.998    -.0476477    .0477656
                1995  |  -.1019425   .0285114    -3.58   0.001    -.1584455   -.0454396
                1996  |   -.016138   .0225379    -0.72   0.475    -.0608028    .0285268
                1997  |   .0249875   .0322545     0.77   0.440    -.0389334    .0889083
                1998  |  -.0028716   .0275078    -0.10   0.917    -.0573857    .0516425
                1999  |  -.0207178   .0256827    -0.81   0.422    -.0716148    .0301793
                2000  |   .0132905   .0246811     0.54   0.591    -.0356216    .0622027
                2001  |  -.0297331   .0287271    -1.04   0.303    -.0866636    .0271974
                2002  |  -.0254708   .0278658    -0.91   0.363    -.0806943    .0297526
                2003  |  -.0041246   .0348996    -0.12   0.906    -.0732874    .0650382
                2004  |  -.0012314   .0281283    -0.04   0.965     -.056975    .0545122
                2005  |  -.0378802    .032493    -1.17   0.246    -.1022738    .0265134
                2006  |   .0436069   .0273529     1.59   0.114       -.0106    .0978138
                2007  |          0  (empty)
                2008  |          0  (empty)
                2009  |          0  (empty)
                      |
year#c.init_StateHist |
                1960  |          0  (empty)
                1961  |          0  (empty)
                1962  |  -.1094637   .0674127    -1.62   0.107    -.2430599    .0241325
                1963  |          0  (empty)
                1964  |  -.1259004   .0680262    -1.85   0.067    -.2607123    .0089115
                1965  |  -.1501265   .0675179    -2.22   0.028    -.2839312   -.0163218
                1966  |  -.0724609   .0596179    -1.22   0.227    -.1906096    .0456878
                1967  |  -.0799594   .0557251    -1.43   0.154    -.1903934    .0304746
                1968  |  -.0637879   .0589371    -1.08   0.281    -.1805874    .0530115
                1969  |  -.0610744   .0629068    -0.97   0.334    -.1857408     .063592
                1970  |   .0017443   .0824488     0.02   0.983    -.1616499    .1651386
                1971  |  -.0634881   .0650455    -0.98   0.331    -.1923931    .0654169
                1972  |  -.1024263   .0792625    -1.29   0.199    -.2595059    .0546533
                1973  |  -.0393403    .070706    -0.56   0.579    -.1794629    .1007824
                1974  |  -.1905153   .0811919    -2.35   0.021    -.3514186    -.029612
                1975  |   .0219199   .0728963     0.30   0.764    -.1225434    .1663832
                1976  |  -.1354069   .0785956    -1.72   0.088     -.291165    .0203512
                1977  |  -.1720673    .071789    -2.40   0.018    -.3143363   -.0297984
                1978  |  -.1186645   .0755769    -1.57   0.119    -.2684403    .0311112
                1979  |  -.1211183   .0886624    -1.37   0.175    -.2968265    .0545898
                1980  |  -.1896616   .0748305    -2.53   0.013    -.3379581   -.0413652
                1981  |  -.2870952   .0938768    -3.06   0.003    -.4731369   -.1010535
                1982  |  -.0241716   .0913496    -0.26   0.792    -.2052051    .1568619
                1983  |   -.117425   .0640008    -1.83   0.069    -.2442596    .0094095
                1984  |  -.0137087   .0768141    -0.18   0.859    -.1659363    .1385188
                1985  |  -.1704871     .08132    -2.10   0.038    -.3316442     -.00933
                1986  |  -.1589907   .1005389    -1.58   0.117    -.3582352    .0402538
                1987  |   -.150146   .0808464    -1.86   0.066    -.3103645    .0100726
                1988  |  -.1321813    .078773    -1.68   0.096    -.2882908    .0239282
                1989  |  -.1806287   .0805062    -2.24   0.027    -.3401731   -.0210844
                1990  |  -.0253724   .0883254    -0.29   0.774    -.2004127    .1496678
                1991  |  -.2115567   .1409487    -1.50   0.136    -.4908839    .0677706
                1992  |  -.0627985   .1193715    -0.53   0.600    -.2993649    .1737678
                1993  |  -.1405677   .1007616    -1.40   0.166    -.3402535    .0591182
                1994  |  -.1308551   .0864211    -1.51   0.133    -.3021214    .0404112
                1995  |  -.1656193   .0856614    -1.93   0.056    -.3353801    .0041414
                1996  |  -.1159008   .0730532    -1.59   0.115     -.260675    .0288735
                1997  |  -.2135262   .0936987    -2.28   0.025     -.399215   -.0278373
                1998  |  -.1944353   .0838981    -2.32   0.022    -.3607016   -.0281689
                1999  |  -.0730601   .0731884    -1.00   0.320    -.2181024    .0719822
                2000  |  -.0748572   .0856969    -0.87   0.384    -.2446884    .0949739
                2001  |  -.1909205   .0903674    -2.11   0.037    -.3700075   -.0118335
                2002  |  -.1516297   .1057033    -1.43   0.154    -.3611088    .0578493
                2003  |  -.1791095   .1103101    -1.62   0.107    -.3977181    .0394992
                2004  |  -.1584198   .1072261    -1.48   0.142    -.3709168    .0540772
                2005  |  -.1646763   .0941787    -1.75   0.083    -.3513163    .0219637
                2006  |  -.3182464   .0963353    -3.30   0.001    -.5091603   -.1273325
                2007  |          0  (empty)
                2008  |          0  (empty)
                2009  |          0  (empty)
                      |
             lnpop_l1 |  -.0785865   .0324254    -2.42   0.017    -.1428461   -.0143269
               elf_l1 |    -.10088   .0379264    -2.66   0.009    -.1760412   -.0257188
            logGDP_l1 |   .1024742   .0206834     4.95   0.000     .0614846    .1434638
              agri_l1 |   .0007713   .0676141     0.01   0.991     -.133224    .1347666
          literacy_l1 |  -.0281846   .0576702    -0.49   0.626    -.1424734    .0861043
               min_l1 |  -.2504001   .0921086    -2.72   0.008    -.4329378   -.0678624
         resources_l1 |   .0169118    .004894     3.46   0.001      .007213    .0266106
           log_aid_l1 |    .004599   .0045417     1.01   0.313    -.0044017    .0135996
           exports_l1 |   .0865673    .024737     3.50   0.001     .0375443    .1355903
           rivalry_l1 |  -.0146277   .0095856    -1.53   0.130    -.0336241    .0043688
            threat_l1 |   .0483936    .019575     2.47   0.015     .0096006    .0871865
               war_l1 |   .0056682   .0090366     0.63   0.532    -.0122403    .0235766
---------------------------------------------------------------------------------------

Absorbed degrees of freedom:
------------------------------------------------------------------------+
          Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
----------------------+-------------------------------------------------|
                ccode |            0             111            111 *   | 
                 year |           44              45              1     | 
------------------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation

. outreg2 using output/out.xml, excel dec(3) keep(demo_l1 $lags) nocons //noas
output/out.xml
dir : seeout

. unique ccode if e(sample)  
Number of unique values of ccode is  111
Number of records is  4697

. 
. 
. *****************************************************************
. * Table A14. Military Expenditure as Measure of Coercive Capacity 
. *****************************************************************
. 
. cap erase output/out.xml

. cap erase output/out.txt

. 
. global covar = "lnpop_l1 elf_l1 logGDP_l1 agri_l1 literacy_l1 min_l1 resources_l1 log_aid_l1 exports_l1 threat_l1 rivalry_l1 war_l1"

. local nsim = 1000

. 
. use Data_full, clear

. g logmilex = log(milex)
(805 missing values generated)

. g logmilexpc = log(milexpc)
(805 missing values generated)

. 
. 
. foreach var of varlist logmilper logmilex logmilexpc {
  2.    tsset ccode year
  3.    forvalues i = 1/2 {
  4.       bysort ccode (year): g `var'_l`i' = L`i'.`var'
  5.    }   
  6.    xtset, clear
  7.    reghdfe `var' demo_l1 `var'_l1 `var'_l2, a(ccode year) cl(ccode)
  8.    outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons
  9. 
.    reghdfe `var' demo_l1 `var'_l1 `var'_l2 $covar, a(ccode year) cl(ccode)
 10.    outreg2 using output/out.xml, excel dec(3) keep(demo_l1) nocons 
 11.    }
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit
(567 missing values generated)
(576 missing values generated)
(converged in 6 iterations)

HDFE Linear regression                            Number of obs   =      6,268
Absorbing 2 HDFE groups                           F(   3,    165) =    1877.59
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9871
                                                  Adj R-squared   =     0.9867
                                                  Within R-sq.    =     0.8059
Number of clusters (ccode)   =        166         Root MSE        =     0.1933

                                (Std. Err. adjusted for 166 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
   logmilper |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |  -.0360021   .0100176    -3.59   0.000    -.0557813   -.0162228
logmilper_l1 |   .8617239   .0376723    22.87   0.000     .7873419    .9361059
logmilper_l2 |   .0202843   .0340902     0.60   0.553    -.0470249    .0875936
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             166            166 *   | 
        year |           45              46              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation
output/out.xml
dir : seeout
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      5,047
Absorbing 2 HDFE groups                           F(  15,    137) =     712.06
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9875
                                                  Adj R-squared   =     0.9870
                                                  Within R-sq.    =     0.8251
Number of clusters (ccode)   =        138         Root MSE        =     0.1776

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
   logmilper |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |  -.0226298   .0094992    -2.38   0.019    -.0414139   -.0038457
logmilper_l1 |   .8777374   .0386343    22.72   0.000     .8013408    .9541341
logmilper_l2 |   .0030737   .0316667     0.10   0.923     -.059545    .0656925
    lnpop_l1 |   .0879706   .0455934     1.93   0.056    -.0021872    .1781284
      elf_l1 |  -.0360258   .0300196    -1.20   0.232    -.0953875     .023336
   logGDP_l1 |   .0417138   .0173974     2.40   0.018     .0073117     .076116
     agri_l1 |   -.021297   .0809251    -0.26   0.793    -.1813208    .1387268
 literacy_l1 |   .1148748   .0656402     1.75   0.082    -.0149242    .2446739
      min_l1 |  -.0285851   .0600378    -0.48   0.635    -.1473058    .0901356
resources_l1 |   .0016517   .0043252     0.38   0.703    -.0069009    .0102044
  log_aid_l1 |    .002469   .0041773     0.59   0.555    -.0057914    .0107294
  exports_l1 |  -.0237011   .0405016    -0.59   0.559    -.1037903    .0563881
   threat_l1 |   .0228775   .0205739     1.11   0.268     -.017806     .063561
  rivalry_l1 |   .0095273   .0130897     0.73   0.468    -.0163567    .0354113
      war_l1 |   .0255876     .01318     1.94   0.054    -.0004749    .0516501
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           44              45              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation
output/out.xml
dir : seeout
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit
(811 missing values generated)
(819 missing values generated)
(dropped 1 singleton observations)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      5,937
Absorbing 2 HDFE groups                           F(   3,    163) =    1410.78
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9838
                                                  Adj R-squared   =     0.9832
                                                  Within R-sq.    =     0.7230
Number of clusters (ccode)   =        164         Root MSE        =     0.3085

                                (Std. Err. adjusted for 164 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    logmilex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |   -.043383   .0216413    -2.00   0.047    -.0861163   -.0006496
 logmilex_l1 |   .7926417   .0203667    38.92   0.000     .7524251    .8328583
 logmilex_l2 |   .0470687   .0181988     2.59   0.011     .0111329    .0830046
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             164            164 *   | 
        year |           45              46              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation
output/out.xml
dir : seeout
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,873
Absorbing 2 HDFE groups                           F(  15,    137) =     265.50
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9826
                                                  Adj R-squared   =     0.9819
                                                  Within R-sq.    =     0.6921
Number of clusters (ccode)   =        138         Root MSE        =     0.3083

                                (Std. Err. adjusted for 138 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
    logmilex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     demo_l1 |  -.0320646   .0199108    -1.61   0.110    -.0714368    .0073076
 logmilex_l1 |   .7469912   .0245073    30.48   0.000     .6985298    .7954527
 logmilex_l2 |   .0495159   .0208056     2.38   0.019     .0083743    .0906575
    lnpop_l1 |   .0520631   .0586803     0.89   0.377    -.0639731    .1680993
      elf_l1 |   .0294577   .0903853     0.33   0.745    -.1492731    .2081885
   logGDP_l1 |   .1562642   .0421304     3.71   0.000     .0729541    .2395742
     agri_l1 |  -.1358947   .1624137    -0.84   0.404    -.4570567    .1852673
 literacy_l1 |   .0806479   .0967425     0.83   0.406    -.1106538    .2719496
      min_l1 |    .116199   .1148224     1.01   0.313    -.1108544    .3432525
resources_l1 |  -.0015068   .0089018    -0.17   0.866    -.0191096     .016096
  log_aid_l1 |  -.0140946   .0102061    -1.38   0.170    -.0342765    .0060872
  exports_l1 |  -.0198304    .088996    -0.22   0.824     -.195814    .1561531
   threat_l1 |   .1152376   .0369239     3.12   0.002     .0422231     .188252
  rivalry_l1 |   .0061057   .0208958     0.29   0.771    -.0352144    .0474258
      war_l1 |   .0554175    .020068     2.76   0.007     .0157343    .0951006
------------------------------------------------------------------------------

Absorbed degrees of freedom:
---------------------------------------------------------------+
 Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
-------------+-------------------------------------------------|
       ccode |            0             138            138 *   | 
        year |           44              45              1     | 
---------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation
output/out.xml
dir : seeout
       panel variable:  ccode (unbalanced)
        time variable:  year, 1960 to 2009
                delta:  1 unit
(811 missing values generated)
(819 missing values generated)
(dropped 1 singleton observations)
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      5,937
Absorbing 2 HDFE groups                           F(   3,    163) =    1477.42
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9720
                                                  Adj R-squared   =     0.9709
                                                  Within R-sq.    =     0.7210
Number of clusters (ccode)   =        164         Root MSE        =     0.3105

                                 (Std. Err. adjusted for 164 clusters in ccode)
-------------------------------------------------------------------------------
              |               Robust
   logmilexpc |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      demo_l1 |  -.0326645   .0218849    -1.49   0.137    -.0758791      .01055
logmilexpc_l1 |   .7988272   .0202975    39.36   0.000     .7587472    .8389072
logmilexpc_l2 |   .0451906   .0184537     2.45   0.015     .0087515    .0816297
-------------------------------------------------------------------------------

Absorbed degrees of freedom:
----------------------------------------------------------------+
  Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
--------------+-------------------------------------------------|
        ccode |            0             164            164 *   | 
         year |           45              46              1     | 
----------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation
output/out.xml
dir : seeout
(converged in 7 iterations)

HDFE Linear regression                            Number of obs   =      4,873
Absorbing 2 HDFE groups                           F(  15,    137) =     313.08
Statistics robust to heteroskedasticity           Prob > F        =     0.0000
                                                  R-squared       =     0.9718
                                                  Adj R-squared   =     0.9706
                                                  Within R-sq.    =     0.6974
Number of clusters (ccode)   =        138         Root MSE        =     0.3093

                                 (Std. Err. adjusted for 138 clusters in ccode)
-------------------------------------------------------------------------------
              |               Robust
   logmilexpc |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      demo_l1 |  -.0295945   .0198046    -1.49   0.137    -.0687566    .0095677
logmilexpc_l1 |   .7478964   .0245341    30.48   0.000      .699382    .7964108
logmilexpc_l2 |   .0460901   .0209582     2.20   0.030     .0046467    .0875336
     lnpop_l1 |  -.0939843   .0588436    -1.60   0.113    -.2103434    .0223749
       elf_l1 |   .0311732   .0946192     0.33   0.742    -.1559297    .2182761
    logGDP_l1 |   .1665319   .0420944     3.96   0.000      .083293    .2497707
      agri_l1 |  -.1297415   .1604327    -0.81   0.420    -.4469861    .1875031
  literacy_l1 |   .0290906   .0954276     0.30   0.761     -.159611    .2177922
       min_l1 |   .0998301   .1205829     0.83   0.409    -.1386143    .3382745
 resources_l1 |  -.0027842   .0089205    -0.31   0.755    -.0204239    .0148554
   log_aid_l1 |  -.0151558   .0102139    -1.48   0.140     -.035353    .0050415
   exports_l1 |  -.0237207   .0885182    -0.27   0.789    -.1987594    .1513181
    threat_l1 |   .1212715   .0393363     3.08   0.002     .0434868    .1990563
   rivalry_l1 |   .0055951    .021111     0.27   0.791    -.0361503    .0473406
       war_l1 |    .057459   .0202443     2.84   0.005     .0174274    .0974907
-------------------------------------------------------------------------------

Absorbed degrees of freedom:
----------------------------------------------------------------+
  Absorbed FE |  Num. Coefs.  =   Categories  -   Redundant     | 
--------------+-------------------------------------------------|
        ccode |            0             138            138 *   | 
         year |           44              45              1     | 
----------------------------------------------------------------+
* = fixed effect nested within cluster; treated as redundant for DoF computation
output/out.xml
dir : seeout

. 
. 
. 
. log close
      name:  <unnamed>
       log:  /Users/xyq/Dropbox/Friends/Yiqing and Haixiao/State_capacity/Replication/statacapacity.txt
  log type:  text
 closed on:  16 Feb 2018, 22:38:03
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
