Regression modelQuasi-experimental / causal inference
多期双重差分法（交错DiD）
多期双重差分法将经典的双期DiD框架扩展到单位在不同时间点接受处理的情境。Callaway和Sant'Anna（2021）以及Goodman-Bacon（2021）对其进行了形式化，该方法将总体处理效应分解为组-时间平均处理效应，并解决了当传统双向固定效应回归应用于交错处理设计时出现的偏差问题。
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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 ↗
- Goodman-Bacon, A. (2021). Difference-in-differences with variation in treatment timing. Journal of Econometrics, 225(2), 254-277. DOI: 10.1016/j.jeconom.2021.03.014 ↗
如何引用本页
ScholarGate. (2026, June 3). Multi-period Difference-in-Differences with Staggered Adoption. ScholarGate. https://scholargate.app/zh/causal-inference/multi-period-difference-in-differences
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.
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- 合成控制法 (SCM)因果推断↔ compare