Causal Inference

3 Credits · Level: Graduate, Undergraduate

This course surveys the theory behind modern econometric tools for policy evaluation, and their use in applied microeconomics and public policy. Topics covered include the identification and estimation of treatment effects, instrumental variables, regression discontinuity, panel data, difference-in-differences, and the basics of machine learning for causal inference.