Guoer Liu

Ph.D. Candidate

I’m a Ph.D. candidate in Political Science and Scientific Computing at the University of Michigan. I study Chinese political institutions, focusing specifically on how interactions among the central and local governments affect policymaking, delegation strategies, and the collection and provision of official statistics. My dissertation project, ‘‘Evasive Delegation: Why Automated Air Quality Data in China is Biased,’’ investigates how political determinants distort the technology infrastructure and create biased information. My prior research examines institutions that incentivize truthful reporting of decidedly unfavorable information like workplace accidents and deaths in the Chinese bureaucracy. I have a separate strand of research in political methodology, with particular interest in causal inference, survey and field experiments.