Estimating the ATT from an hbal object

att estimates the average treatment effect on the treated (ATT) from an hbal object returned by hbal.

Usage

att(hbalobject, method="lm_robust", dr=TRUE, displayAll=FALSE, ...)

Arguments

hbalobject: an object of class hbal as returned by hbal.
method: estimation method for the ATT. Default is the Lin (2016) estimator.
dr: doubly robust, whether an outcome model is included in estimating the ATT.
displayAll: only displays treatment effect by default.
...: arguments passed to lm_lin or lm_robust

Value

A matrix of estimates with their robust standard errors

Details

This is a wrapper for lm_robust and lm_lin from the estimatr package.

Author

Yiqing Xu, Eddie Yang

Examples

#EXAMPLE 1
set.seed(1984)
N <- 500
X1 <- rnorm(N)
X2 <- rbinom(N,size=1,prob=.5)
X <- cbind(X1, X2)
treat <- rbinom(N, 1, prob=0.5) # Treatment indicator
y <- 0.5 * treat + X[,1] + X[,2] + rnorm(N) # Outcome
dat <- data.frame(treat=treat, X, Y=y)
out <- hbal(Treat = 'treat', X = c('X1', 'X2'), Y = 'Y', data=dat)
sout <- summary(att(out))