Regression modelQuasi-experimental / causal inference
面板事件研究
面板事件研究通过将结果变量回归到一组完整的相对时间指示变量——每个事件前后的时期一个——同时控制单元和时间固定效应，来估计处理或政策的动态因果效应。由此产生的系数图显示了在相对于其处理日期的每个日历时间点，处理单元如何与未处理单元产生分歧，从而使处理前趋势的违反和处理后效应轨迹都一目了然。
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Method map
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来源
- Freyaldenhoven, S., Hansen, C., Perez-Orive, J., & Shapiro, J. M. (2021). Visualization, Identification, and Estimation in the Linear Panel Event-Study Design. NBER Working Paper 29170. National Bureau of Economic Research. link ↗
- 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 ↗
如何引用本页
ScholarGate. (2026, June 3). Panel Data Event Study Design. ScholarGate. https://scholargate.app/zh/causal-inference/panel-event-study
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.
- 双重差分法 (Diff-in-Diff)计量经济学↔ compare
- 动态双重差分因果推断↔ compare
- 面板数据固定效应模型计量经济学↔ compare
- 合成控制法 (SCM)因果推断↔ compare