Event
Group-Level Treatment Effect Heterogeneity in Difference-in-Differences: A Balanced Approach
Understanding how treatment effects vary across groups is central to policy evaluation. In Difference-in-Differences designs, heterogeneity is often studied using subgroup or triple-difference analyses, which can suffer from conservative inference, reliance on parametric interaction structures, and sensitivity to differences in covariate distributions across groups. We propose the Balanced Group Average Treatment...
Presented by: Nadja van 't Hoff (University of Amsterdam)
Venue: Online