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| Multi-period Difference-in-Differences (Staggered DiD)× | 差分の差 (Difference-in-Differences, DiD)× | |
|---|---|---|
| 分野≠ | 因果推論 | 計量経済学 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 2021 | 1994 |
| 提唱者≠ | Callaway & Sant'Anna; Goodman-Bacon | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| 種類 | Causal inference / panel regression | Causal inference / panel regression |
| 原典≠ | Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| 別名≠ | staggered DiD, multi-period DiD, staggered difference-in-differences, heterogeneous timing DiD | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| 関連 | 5 | 5 |
| 概要≠ | Multi-period Difference-in-Differences extends the classic two-period DiD framework to settings where units adopt treatment at different points in time. Formalised by Callaway and Sant'Anna (2021) and Goodman-Bacon (2021), it decomposes the overall treatment effect into group-time average treatment effects and addresses the bias that arises when conventional two-way fixed-effects regressions are applied to staggered adoption designs. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. |
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