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تقدير المطابقة القوي (المطابقة المصححة بالانحياز)×الفرق في الفروق (Diff-in-Diff)×
المجالالاستدلال السببيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة2006/20111994
صاحب الطريقةAbadie & ImbensCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
النوعCausal inference / matchingCausal inference / panel regression
المصدر التأسيسيAbadie, A., & Imbens, G. W. (2011). Bias-Corrected Matching Estimators for Average Treatment Effects. Journal of Business & Economic Statistics, 29(1), 1-11. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
الأسماء البديلةbias-corrected matching, Abadie-Imbens matching, AI matching estimator, robust nearest-neighbor matchingdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
ذات صلة65
الملخصThe robust matching estimator, developed by Abadie and Imbens (2006, 2011), extends nearest-neighbor matching by adding a regression-based bias correction that removes the finite-sample bias arising when matched units are not perfectly alike. It yields consistent, asymptotically normal estimates of average treatment effects with a heteroskedasticity-robust variance formula that is valid regardless of the number of continuous covariates.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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  1. v1
  2. 2 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Robust Matching Estimator · Difference-in-Differences. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare