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Regression Kink Design (RKD)×Difference-in-Differences (DiD)×
VakgebiedCausale inferentieEconometrie
FamilieRegression modelRegression model
Jaar van ontstaan20151994
GrondleggerCard, Lee, Pei & WeberCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TypeQuasi-experimental design (slope-based RDD)Causal inference / panel regression
Oorspronkelijke bronCard, 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
AliassenRKD, regression kink design, kink regression discontinuity, Regresyon Kırılma Tasarımı (RKD — Regression Kink Design)diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Verwant45
SamenvattingThe 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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ScholarGateMethoden vergelijken: Regression Kink Design · Difference-in-Differences. Geraadpleegd op 2026-06-15 via https://scholargate.app/nl/compare