방법 비교

	다기간 회귀 불연속 설계	이중차분법 (Diff-in-Diff)
분야	인과추론	계량경제학
계열	Regression model	Regression model
기원 연도	2010s–2020s	1994
창시자	Cattaneo, Idrobo & Titiunik (foundations); extended by multiple authors for repeated-period settings	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
유형	Quasi-experimental causal inference	Causal inference / panel regression
원전	Cattaneo, M. D., Idrobo, N., & Titiunik, R. (2020). A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
별칭	multi-wave RD, repeated RDD, dynamic RD, multi-cutoff RDD	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
관련	3	5
요약	Multi-period Regression Discontinuity Design extends the classic RDD to settings where a cutoff-based treatment is applied in multiple waves, across repeated time periods, or with varying thresholds. By pooling or comparing period-specific discontinuity estimates, researchers gain statistical precision and can examine how causal effects evolve or persist over time.	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.