Regression model
交错双重差分法
交错双重差分法（Staggered Difference-in-Differences）是双重差分法（DID）在处理效应在不同时间推向不同群组的面板设计中的一种推广。该方法由 Callaway and Sant'Anna (2021) 和 Sun and Abraham (2021) 以现代形式提出，能够纠正当处理效应在不同队列（cohorts）和不同时间异质（heterogeneous）时，经典双向固定效应（TWFE）估计量所遭受的偏差。
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来源
- Callaway, B. & Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics, 225(2), 200-230. DOI: 10.1016/j.jeconom.2020.12.001 ↗
- Sun, L. & Abraham, S. (2021). Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects. Journal of Econometrics, 225(2), 175-199. DOI: 10.1016/j.jeconom.2020.09.006 ↗
如何引用本页
ScholarGate. (2026, June 1). Staggered Difference-in-Differences (Callaway-Sant'Anna / Sun-Abraham Estimators). ScholarGate. https://scholargate.app/zh/causal-inference/did-staggered
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 事件研究设计（因果事件研究）因果推断↔ compare
- 面板数据固定效应模型计量经济学↔ compare
- 回归断点设计 (Regression Discontinuity Design, RDD)因果推断↔ compare
- 合成对照法 (SCM)因果推断↔ compare