방법 비교

	정책 평가 플라세보 검증	순열 (무작위화) 검정
분야	인과추론	통계학
계열	Regression model	Regression model
기원 연도	1990s–2000s	2005
창시자	Bertrand, Duflo & Mullainathan (2004 canonical formalization); Imbens & Wooldridge (2009 textbook treatment)	Good (2005); Edgington & Onghena (2007); resampling tradition
유형	Falsification / specification check	Nonparametric resampling test
원전	Imbens, G. W., & Wooldridge, J. M. (2009). Recent Developments in the Econometrics of Program Evaluation. Journal of Economic Literature, 47(1), 5-86.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
별칭	placebo test, falsification test, fake treatment test, placebo regression	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
관련	4	5
요약	A policy evaluation placebo test is a falsification check used in quasi-experimental research to validate a causal identification strategy. The researcher applies the same estimation method to a pseudo-treatment — a time period, group, or outcome where the real policy could not have had an effect — and checks that no spurious effect is detected. A null placebo result builds confidence that the main estimate reflects a genuine causal impact rather than bias or confounding.	The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.