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Regresní diskontinuitní design (RDD)×Rozdíl v rozdílech (Diff-in-Diff)×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku20081994
TvůrceImbens & Lemieux; Lee & Lemieux (modern practice); Cattaneo, Idrobo & TitiunikCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TypQuasi-experimental causal designCausal inference / panel regression
Původní zdrojImbens, 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
Další názvyRDD, regression discontinuity, sharp regression discontinuity, Regresyon Süreksizliği Tasarımı (RDD)diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Příbuzné55
ShrnutíRegression 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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ScholarGatePorovnat metody: Regression Discontinuity Design · Difference-in-Differences. Získáno 2026-06-15 z https://scholargate.app/cs/compare