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Многопериоден метод на разликите в разликите (ДиD с разсрочено прилагане)×Модел с фиксирани ефекти за панелни данни×
ОбластПричинно-следствено заключениеИконометрия
СемействоRegression modelRegression model
Година на възникване20212014
СъздателCallaway & Sant'Anna; Goodman-BaconHsiao (textbook treatment); within transformation of panel data
ТипCausal inference / panel regressionPanel data regression
Основополагащ източникCallaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Други названияstaggered DiD, multi-period DiD, staggered difference-in-differences, heterogeneous timing DiDfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Свързани55
РезюмеMulti-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.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
ScholarGateНабор от данни
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  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Multi-period Difference-in-differences · Panel Fixed Effects. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare