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تصميم دراسة الحدث لتقييم السياسات×نموذج التأثيرات الثابتة لبيانات السلاسل الزمنية المقطعية×
المجالالاستدلال السببيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة1993-20212014
صاحب الطريقةAndrews (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
النوعQuasi-experimental / causal inferencePanel data regression
المصدر التأسيسيCallaway, 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 ↗
الأسماء البديلةevent study, event-study DiD, dynamic DiD, PEESDfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
ذات صلة55
الملخصA 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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ScholarGateقارن الطرق: Policy Evaluation Event Study Design · Panel Fixed Effects. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare