Regression model

Regression Kink Design (RKD)

The 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.

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Sources

  1. Card, 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: 10.3982/ECTA11224

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Referenced by

ScholarGateRegression Kink Design (Generalized Regression Kink Design (RKD)). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/regression-kink-design