Difference-in-difference (DID) estimators are a valuable method for identifying causal effects
in the public health researcher's toolkit. A growing methods literature points out potential …

This paper synthesizes recent advances in the econometrics of difference-in-differences
(DiD) and provides concrete recommendations for practitioners. We begin by articulating a …

This paper analyzes difference-in-differences designs with a continuous treatment. We show
that treatment effect on the treated-type parameters can be identified under a generalized …

A recent literature has shown that when adoption of a treatment is staggered and average
treatment effects vary across groups and over time, difference-in-differences regression …

This paper proposes tools for robust inference in difference-in-differences and event-study
designs where the parallel trends assumption may be violated. Instead of requiring that …

Difference-in-differences is one of the most used identification strategies in empirical work in
economics. This chapter reviews a number of important, recent developments related to …

Recent applied microeconometrics research proposes various difference-in-differences
(DiD) estimators for the problem of dynamic heterogeneous treatment effects. We show that …

In this paper, we describe a computational implementation of the Synthetic difference-in-
differences (SDID) estimator of Arkhangelsky et al.(2021) for Stata. Synthetic difference-in …

Energy poverty is a serious problem worldwide and has attracted the attention of
policymakers. As a type of social welfare project, photovoltaic poverty alleviation projects …

In this paper, the impact of national eco-industrial parks (EIPs) on green technological
progress is assessed, with a focus on Chinese cities. Staggered difference-in-differences is …