Comparing two-way fixed effects and new estimators for differences-in-differences: A simulation study and empirical example.

We demonstrated why new approaches perform better than two-way fixed effects when treatment effects are heterogeneous or dynamic under a staggered policy adoption design, and created simulation and analysis code to promote understanding and wider use of these methods in the epidemiologic literature.