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강건 하우즈만 모형 적합성 검정 (Robust Hausman Specification Test)×회귀 추론을 위한 와일드 부트스트랩×
분야통계학통계학
계열Regression modelRegression model
기원 연도19781986
창시자Hausman (1978); robust variant after Arellano (1993)Wu (1986); refined by Davidson & Flachaire (2008)
유형Panel model specification testResampling-based regression inference
원전Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. DOI ↗Wu, C. F. J. (1986). Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis. Annals of Statistics, 14(4), 1261-1295. DOI ↗
별칭robust hausman specification test, cluster-robust hausman test, Robust Hausman Testiwild bootstrap, wild cluster bootstrap, Wu-Liu resampling, Wild Bootstrap
관련55
요약The Robust Hausman Test is a heteroscedasticity- and autocorrelation-robust version of the Hausman specification test, used to choose between fixed-effects and random-effects estimators in panel-data models. It builds on Hausman's 1978 test and the robust treatment of correlated effects developed by Arellano (1993).The wild bootstrap is a resampling method for regression models with heteroscedastic errors, introduced by Wu (1986) and refined by Davidson and Flachaire (2008). It builds a bootstrap distribution by rescaling each fitted residual with a random sign, so that standard errors and confidence intervals stay valid when the error variance is not constant or the data are clustered.
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