Teppei Yamamoto is broadly interested in the development of quantitative methods for political and social data. His research has focused on statistical methods for causal inference, including causal attribution, causal mediation, causal moderation, and causal inference with measurement error. Teppei also studies experimental designs and survey methodology, with empirical applications to elections and comparative political behavior.
Teppei’s work has appeared in various academic journals, such as the American Journal of Political Science, American Political Science Review, Journal of the American Statistical Association, Political Analysis, and PNAS. He has won several awards for his research and professional work, including the Emerging Scholar Award (2019) from the Society for Political Methodology. Teppei’s work has been supported by the National Science Foundation.
Teppei Yamamoto is broadly interested in the development of quantitative methods for political and social data. His research has focused on statistical methods for causal inference, including causal attribution, causal mediation, causal moderation, and causal inference with measurement error. Teppei also studies experimental designs and survey methodology, with empirical applications to elections and comparative political behavior. Teppei's work has appeared in various academic journals, such as the American Journal of Political Science, American Political Science Review, Journal of the American Statistical Association, Political Analysis, and PNAS. He has won several awards for his research and professional work, including the Emerging…