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पैनल डेटा फजी रिग्रेशन डिसकंटीन्यूइटी डिज़ाइन×अंतर-में-अंतर (डिफ-इन-डिफ)×
क्षेत्रकारणात्मक अनुमानअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष2001 (fuzzy RDD); panel extension circa 20111994
प्रवर्तकHahn, Todd & Van der Klaauw; extended to panel settings by Papay, Willett & Murnane and othersCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
प्रकारQuasi-experimental causal inferenceCausal inference / panel regression
मौलिक स्रोतHahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design. Review of Economic Studies, 68(1), 201-209. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
उपनामPanel Fuzzy RDD, Panel FRD, Fuzzy RD with Panel Data, Panel Fuzzy RDdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
संबंधित55
सारांशPanel Data Fuzzy Regression Discontinuity Design (Panel FRD) extends the fuzzy RDD framework to settings where multiple observations per unit are available over time. It exploits a probabilistic — rather than deterministic — threshold-crossing rule to identify a local average treatment effect (LATE) while controlling for unit-level and time-level fixed effects, sharpening identification in repeated-measures contexts.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.
ScholarGateडेटासेट
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  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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