Applied Econometrics II

Catalog description

The goal of the course is to provide graduate students with frontier econometric tools for conducting empirical research. We will cover prominent methods for causal inference, including randomized experiments, difference-in-difference, regression discontinuity, synthetic control, shift-share, matching, and statistical sensitivity tests. The course will also cover machine learning for prediction and variable selection, and selected topics in time series econometrics.