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Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Robustní metoda rozdílu rozdílů (Difference-in-Differences)×Panelová data Difference-in-Differences (Panel DiD / TWFE)×
OborKauzální inferenceKauzální inference
RodinaRegression modelRegression model
Rok vzniku2021-20231985–2004
TvůrceCallaway & Sant'Anna; Sun & Abraham; Roth et al. (synthesised 2021-2023)Ashenfelter & Card (1985); codified by Angrist & Pischke (2009); serial correlation critique by Bertrand, Duflo & Mullainathan (2004)
TypCausal inference / panel regressionCausal inference / panel regression
Původní zdrojCallaway, 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
Další názvyrobust DiD, heterogeneity-robust DiD, staggered DiD, disaggregated ATT DiDTwo-Way Fixed Effects DiD, TWFE, Panel DiD, Panel Diff-in-Diff
Příbuzné54
ShrnutíRobust Difference-in-Differences is a family of modern DiD estimators designed to remain valid when treatment timing is staggered across units and treatment effects are heterogeneous over time or across groups. Classical two-way fixed-effects (TWFE) DiD can be severely biased in such settings; robust variants estimate group-time average treatment effects (ATTs) separately and then aggregate them in a theoretically sound way.Panel Data Difference-in-Differences extends the classic two-period DiD design to settings with multiple units observed across many time periods. By absorbing unit-level fixed effects and time fixed effects simultaneously, it isolates the causal effect of a treatment or policy change while controlling for both time-invariant unit heterogeneity and common time shocks affecting all units.
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ScholarGatePorovnat metody: Robust Difference-in-Differences · Panel Data Difference-in-Differences. Získáno 2026-06-15 z https://scholargate.app/cs/compare