Difference-in-Differences with Multiple Time Periods
Brantly Callaway, Pedro H. C. Sant'Anna
Summary
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.
Key findings
- Introduces group-time average treatment effect parameters as building blocks for staggered adoption settings.
- Provides identification under conditional parallel trends plus estimation, aggregation schemes, and simultaneous (uniform) inference.
- Standard two-way fixed effects regressions can be misleading with heterogeneous and dynamic effects, motivating the disaggregated approach.
Subjects & keywords
Cite this paper
Brantly Callaway, & Pedro H. C. Sant'Anna (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics. https://doi.org/10.1016/j.jeconom.2020.12.001
@article{callaway2021differenceindifferences,
author = {Brantly Callaway and Pedro H. C. Sant'Anna},
title = {Difference-in-Differences with Multiple Time Periods},
journal = {Journal of Econometrics},
year = {2021},
doi = {10.1016/j.jeconom.2020.12.001},
url = {https://doi.org/10.1016/j.jeconom.2020.12.001}
}