17.802 Quantitative Research Methods II: Causal Inference


Class Info

Survey of statistical methods for causal inference in political science and public policy research. Covers a variety of causal inference designs, including experiments, matching, regression, panel methods, difference-in-differences, synthetic control methods, instrumental variables, regression discontinuity designs, quantile regression, and bounds.

This class has 17.800, and 17.871 as prerequisites.

17.802 will not be offered this semester. It will be available in the Spring semester, and will be instructed by T. Yamamoto.

Lecture occurs 9:30 AM to 11:00 AM on Tuesdays and Thursdays in E51-361.

This class counts for a total of 12 credits.

You can find more information at the 17.802 Class Site site or on the 17.802 Stellar site.

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