Bayesian variable selection in hierarchical difference-in-differences models

James Normington, Eric F. Lock, Thomas A. Murray +1

A popular method for estimating a causal treatment effect with observational data is the difference-in-differences (DiD) model. In this work, we consider an extension of the classi…