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تصميم الانحدار غير المستمر (RDD)×الفرق في الفروق (Diff-in-Diff)×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة20081994
صاحب الطريقةImbens & Lemieux; Lee & Lemieux (modern practice); Cattaneo, Idrobo & TitiunikCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
النوعQuasi-experimental causal designCausal inference / panel regression
المصدر التأسيسيImbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
الأسماء البديلةRDD, regression discontinuity, sharp regression discontinuity, Regresyon Süreksizliği Tasarımı (RDD)diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
ذات صلة55
الملخصRegression Discontinuity Design is a quasi-experimental method that estimates a local causal effect around a threshold (cutoff) value, comparing units just below and just above the cutoff as if they were almost randomly assigned. It is the design developed for applied practice by Imbens and Lemieux (2008) and by Lee and Lemieux (2010).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: Regression Discontinuity Design · Difference-in-Differences. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare