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शिक्षा अनुसंधान में रिग्रेशन डिसकंटीन्यूइटी डिज़ाइन×अंतर-में-अंतर (डिफ-इन-डिफ)×
क्षेत्रकारणात्मक अनुमानअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1960 (origination); 1999-2010 (education economics canon)1994
प्रवर्तकThistlethwaite & Campbell (1960); popularized in education economics by Angrist & Lavy (1999), Lee & Lemieux (2010)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
प्रकारQuasi-experimental causal inferenceCausal inference / panel regression
मौलिक स्रोतLee, D. S., & Lemieux, T. (2010). Regression discontinuity designs in economics. Journal of Economic Literature, 48(2), 281-355. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
उपनामRDD in education, education RD design, sharp RDD education, score-cutoff designdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
संबंधित55
सारांशRegression discontinuity design (RDD) in education research exploits a score-based eligibility cutoff — such as a test score threshold, GPA requirement, or age cutoff — to estimate the causal effect of a program, intervention, or policy on student or school outcomes. Units just below and just above the cutoff are treated as near-randomly assigned, enabling credible causal inference without a randomized trial.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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ScholarGateविधियों की तुलना करें: Regression discontinuity design in education research · Difference-in-Differences. 2026-06-19 को यहाँ से प्राप्त https://scholargate.app/hi/compare