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Regressioonikurd-disain (RKD)×Erinevused erinevustes (Diff-in-Diff)×
ValdkondPõhjuslik järeldamineÖkonomeetria
PerekondRegression modelRegression model
Tekkeaasta20151994
LoojaCard, Lee, Pei & WeberCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TüüpQuasi-experimental design (slope-based RDD)Causal inference / panel regression
AlgallikasCard, D., Lee, D. S., Pei, Z. & Weber, A. (2015). Inference on Causal Effects in a Generalized Regression Kink Design. Econometrica, 83(6), 2453-2483. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
RööpnimetusedRKD, regression kink design, kink regression discontinuity, Regresyon Kırılma Tasarımı (RKD — Regression Kink Design)diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Seotud45
KokkuvõteThe Regression Kink Design is a quasi-experimental method that estimates a causal effect when a policy rule creates a change in slope (a kink) — rather than a jump — at a known threshold of a running variable. It was formalised as a generalized design by Card, Lee, Pei and Weber (2015) and is the slope-based counterpart of the regression discontinuity design.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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ScholarGateVõrdle meetodeid: Regression Kink Design · Difference-in-Differences. Loetud 2026-06-15 aadressilt https://scholargate.app/et/compare