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راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

تصميم دراسة الحدث لتقييم السياسات×الفرق في الفروق (Diff-in-Diff)×
المجالالاستدلال السببيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة1993-20211994
صاحب الطريقةAndrews (1993), MacKinlay (1997); formalized for policy evaluation by Freyaldenhoven, Hansen & Shapiro (2019) and Callaway & Sant'Anna (2021)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
النوعQuasi-experimental / causal inferenceCausal inference / panel 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 ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
الأسماء البديلةevent study, event-study DiD, dynamic DiD, PEESDdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
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.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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ScholarGateقارن الطرق: Policy Evaluation Event Study Design · Difference-in-Differences. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare