Peer Reviewed Articles
 China's Ideological Spectrum
with Jennifer Pan.
The Journal of Politics
The study of ideology in authoritarian regimes---of how public preferences are configured and constrained---has received relatively little scholarly attention. Using data from a large-scale online survey, we study ideology in China. We find that public preferences are weakly constrained, and the configuration of preferences is multi-dimensional, but the latent traits of these dimensions are highly correlated. Those who prefer authoritarian rule are more likely to support nationalism, state intervention in the economy, and traditional social values; those who prefer democratic institutions and values are less likely to be nationalistic or support traditional social values but more likely to support market reforms. This latter set of preferences appears more in provinces with higher levels of development and among wealthier and better educated respondents. These findings suggest preferences are not simply split along a pro-regime or anti-regime cleavage, and indicate a possible link between China's economic reform and societal cleavages. [Pre-print, Replication Material (130M), Data Source, Slides]
 Incremental Democracy: The Policy Effects of the Partisan Composition of State Government
How much does it matter which party controls the government? On one hand, campaign positions and roll-call records suggest that contemporary American parties are very ideologically polarized. On the other hand, the existing evidence that electing Democrats into office causes the adoption of more liberal policies is surprisingly weak. We bring clarity to this debate with the aid of a new measure of the policy liberalism of each state in each year 1936-2014, using regression-discontinuity and dynamic panel analyses to estimate the policy effects of the partisan composition of state legislatures and governorships. We find that until the 1980s, partisan control of state government had negligible effects on the liberalism of state policies, but that since then partisan effects have grown markedly. Even today, however, the policy effects of partisan composition remain small relative to differences between states---less than one-tenth of the cross-sectional standard deviation of state policy liberalism. This suggests that campaign positions and roll-call records may overstate the policy effects of partisan selection relative to other factors, such as public opinion. [PDF]
with Devin Caughey and Chris Warshaw.
The Journal of Politics, forthcoming.
 Why Do Authoritarian Regimes Allow Citizens to Voice Opinions Publicly?
Why would an authoritarian regime allow citizens to voice opinions publicly if the exchange of information among citizens spurs social instability as has been often alleged? In this paper, we develop a game theoretic model and show that an authoritarian regime can strengthen its rule by allowing citizens to communicate with each other publicly. From the government’s perspective, such communication has two interrelated functions. First, if public communication reveals a shared feeling of dissatisfaction towards government policies among the citizens, the government will detect the danger and improve policies accordingly. Second, and perhaps more interestingly, public communication disorganizes the citizens if they find themselves in disagreement over the policies. We show that the government allows public communication if and only if it perceives sufficient heterogeneity in preferences among the citizens. The model also illustrates that public communication could serve as a commitment device ensuring government responsiveness when it faces high dissatisfaction, which in turn makes the government better off than with private polling. [PDF]
with Jidong Chen.
The Journal of Politics, forthcoming.
 Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models
Political Analysis, Vol. 25, Iss. 1, January 2017, pp. 57-76.
Difference-in-differences (DID) is commonly used for causal inference in time-series cross-sectional data. It requires the assumption that the average outcomes of treated and control units would have followed parallel paths in the absence of treatment. In this paper, I propose a method that not only relaxes this often-violated assumption, but also unifies the synthetic control method (Abadie, Diamond and Hainmueller 2010) with linear fixed effect models under a simple framework, of which DID is a special case. It imputes counterfactuals for each treated unit in post-treatment periods using control group information based on a linear interactive fixed effect model that incorporates unit-specific intercepts interacted with time-varying coefficients. This method has several advantages. First, it allows the treatment to be correlated with unobserved unit and time heterogeneities under reasonable modelling assumptions. Second, it generalizes the synthetic control method to the case of multiple treated units and variable treatment periods, and improves efficiency and interpretability. Third, with a built-in cross-validation procedure, it avoids specification searches and thus is transparent and easy to implement. An empirical example of Election Day Registration and voter turnout in the United States is provided. [Post-print, Pre-Print, Replication Files, Software]
-- Awarded the 2014 John T. Williams Dissertation Prize for the best disseration proposal in political methodology.
 Information Manipulation and Reform in Authoritarian Regimes
We develop a theory of how an authoritarian regime interactively uses information manipulation, such as propaganda or censorship, and policy improvement to maintain social stability. The government can depict the status quo policy more popularly supported than it actually is, while at the same time please citizens directly by enacting a costly reform. We show that the government's ability of making policy concessions reduces its incentive to manipulate information and improves its credibility. Anticipating a higher chance of policy concessions and less information manipulation, citizens are more likely to believe the government-provided information and support the regime. Our model provides an explanation for the puzzling fact that reform coexists with selective information disclosure in authoritarian countries like China. [Post-print, Pre-print, Slides]
with Jidong Chen.
Political Science Research and Methods, Vol. 5, Iss. 1, January 2017, pp. 163-178.
 Sources of Authoritarian Responsiveness: A Field Experiment in China
with Jidong Chen and Jennifer Pan.
American Journal of Political Science
, Vol. 60, Iss. 2, pp. 383-400, April 2016.
Scholars have established that authoritarian regimes exhibit responsiveness to citizens, but our knowledge of why autocrats respond remains limited. We theorize that responsiveness may stem from rules of the institutionalized party regime, citizen engagement, and a strategy of preferential treatment of a narrow group of supporters. We test the implications of our theory using an online experiment among 2,103 Chinese counties. At baseline, we find that approximately one third of county level governments are responsive to citizen demands expressed online. Threats of collective action and threats of tattling to upper levels of government cause county governments to be considerably more responsive. However, while threats of collective action cause local officials more publicly responsive, threats of tattling do not have this effect. We also find that identifying as loyal, long-standing members of the Communists Party does not increase responsiveness. [Post-Print, Pre-print, Slides, Summary, 中文摘要]
-- Awarded AJPS Best Paper 2016. "The paper is extremely well written and accessible to a wide audience in political science, it is very well cited already and can and will inspire future research in this area."
 Informal Institutions, Collective Action, and Public Goods Expenditure in Rural China
Do informal institutions, rules and norms created and enforced by social groups, promote good local governance in environments of weak democratic or bureaucratic institutions? This question is difficult to answer because of challenges in defining and measuring informal institutions and identifying their causal effects. In the paper, we investigate the effect of lineage groups, one of the most important vehicles of informal institutions in rural China, on local public goods expenditure. Using a panel dataset of 220 Chinese villages from 1986 to 2005, we find that village leaders from the two largest family clans increased local public investment considerably. This association is stronger when the clans appeared to be more cohesive. We also find that clans helped local leaders overcome the collective action problem of financing public goods, but there is little evidence suggesting that they held local leaders accountable. [Post-print, Pre-print, Slides]
with Yang Yao.
American Political Science Review, Vol. 109, No. 2, pp. 371-91, May 2015.