Difference-in-Differences with Multiple Time Periods
The paper develops a framework for difference-in-differences designs in which units adopt treatment at different times across multiple periods. It defines group-time average treatment effects and shows how to identify and estimate them under conditional parallel trends, then aggregate them into interpretable summary parameters. The authors provide valid simultaneous inference and apply the methods to estimating the effect of minimum wage increases on teen employment.