Research

Christian Fong specializes in the study of the United States Congress.  He also does research in statistical methodology that explores the relationship between machine learning and inference.  Before coming to Michigan, he was an American Political Science Association Congressional Fellow, where he served as an economic policy advisor to Senator Mike Lee.

Selected Publications

Please also see Christian Fong’s curriculum vitae (CV).

Eldes, A., Fong, C., and K. Lowande, Does Ambition Counteract Ambition? (2024) 
Fong, C. and J. Grimmer, Causal Inference with Latent Treatments. (2023) American Journal of Political Science
Egami, N., Fong, C., Grimer, J., Roberts, ME, and BM Stewart, How to Make Causal Inferences Using Texts (2022) Science Advances
Fong, Christian, Expertise, Networks, and Interpersonal Influence in Congress. (2020) Journal of Politics
Fong, C., Malhotra, N. and Y. Margalit, Political Legacies. (2019) Political Science and Politics
Fong, C., Hazlett, C., and K. Imai, Covariate Balancing Propensity Score for a Continuous Treatment: Application to the Efficacy of Political Advertisements.”  (2018) Annals of Applied Statistics