방법 비교

	회귀 킹크 설계 (RKD)	회귀 불연속 설계(Regression Discontinuity Design, RDD)
분야	인과추론	인과추론
계열	Regression model	Regression model
기원 연도	2015	2008
창시자	Card, Lee, Pei & Weber	Imbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction)
유형	Quasi-experimental design (slope-based RDD)	Quasi-experimental causal design
원전	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.	Imbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635.
별칭	RKD, regression kink design, kink regression discontinuity, Regresyon Kırılma Tasarımı (RKD — Regression Kink Design)	RDD, regression discontinuity design, sharp RDD, fuzzy RDD
관련	4	5
요약	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.	Regression Discontinuity Design is a quasi-experimental method that identifies a causal effect by locally comparing units just above and just below a cutoff on a continuous assignment (running) variable. Formalised for applied work by Imbens and Lemieux (2008) and developed as a practical framework by Cattaneo, Idrobo, and Titiunik (2020), it estimates a local average treatment effect (LATE) at the threshold.