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Eseménytanulmány-terv politikai értékeléshez×Paneladatok rögzített hatású modellje×
TudományterületOksági következtetésÖkonometria
MódszercsaládRegression modelRegression model
Keletkezés éve1993-20212014
MegalkotóAndrews (1993), MacKinlay (1997); formalized for policy evaluation by Freyaldenhoven, Hansen & Shapiro (2019) and Callaway & Sant'Anna (2021)Hsiao (textbook treatment); within transformation of panel data
TípusQuasi-experimental / causal inferencePanel data regression
AlapműCallaway, 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 ↗
Alternatív nevekevent study, event-study DiD, dynamic DiD, PEESDfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Kapcsolódó55
ÖsszefoglalóA policy evaluation event study design is a quasi-experimental approach that estimates causal effects of a policy by plotting treatment-period-by-period coefficients around a common event time. It extends difference-in-differences to visualize both pre-treatment parallel trends and the dynamic post-treatment evolution of the policy effect, and has become the standard credibility check in applied policy research.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).
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ScholarGateMódszerek összehasonlítása: Policy Evaluation Event Study Design · Panel Fixed Effects. Letöltve 2026-06-18, forrás: https://scholargate.app/hu/compare