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المطابقة الدقيقة المُعمّمة متعددة الفترات×الفرق في الفروق (Diff-in-Diff)×
المجالالاستدلال السببيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة2012–20211994
صاحب الطريقةIacus, King & Porro (CEM, 2012); extended to multi-period panel settingsCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
النوعNon-parametric matching / causal inferenceCausal inference / panel regression
المصدر التأسيسيIacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 20(1), 1-24. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
الأسماء البديلةMulti-period CEM, Longitudinal CEM, Panel CEM, Multi-wave CEMdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
ذات صلة65
الملخصMulti-period Coarsened Exact Matching (multi-period CEM) extends the CEM framework of Iacus, King, and Porro to longitudinal data with multiple pre- and post-treatment periods. It bins continuous covariates into coarsened categories, matches treated and control units that fall into the same cells across all relevant time periods, and then estimates a weighted average treatment effect that accounts for temporal structure.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.
ScholarGateمجموعة البيانات
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  2. 2 المصادر
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  1. v1
  2. 2 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Multi-period Coarsened Exact Matching · Difference-in-Differences. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare