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Robust Hausman spesifikasjonstest×Wild Bootstrap for Regression Inference×
FagfeltStatistikkStatistikk
FamilieRegression modelRegression model
Opprinnelsesår19781986
OpphavspersonHausman (1978); robust variant after Arellano (1993)Wu (1986); refined by Davidson & Flachaire (2008)
TypePanel model specification testResampling-based regression inference
Opprinnelig kildeHausman, 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 ↗
Aliasrobust hausman specification test, cluster-robust hausman test, Robust Hausman Testiwild bootstrap, wild cluster bootstrap, Wu-Liu resampling, Wild Bootstrap
Relaterte55
SammendragThe 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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ScholarGateSammenlign metoder: Robust Hausman Test · Wild Bootstrap. Hentet 2026-06-17 fra https://scholargate.app/no/compare