This course examines policy evaluation with panel data, focusing on difference-in-differences, fixed-effects models, and event-study designs.
Participants will investigate dynamic and heterogeneous treatment effects, assess identifying assumptions, compare alternative specifications, and interpret policy impacts across units and over time. Applied exercises emphasize transparent design choices and careful communication of uncertainty.
DATES - THIS COURSE RUNS 25-29 JANUARY 2027
what we will learn
PREREQUISITES
A prior graduate-level course in multiple regression and foundational knowledge of time-series or panel data analysis are recommended.