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Robust Hausman-specifikationstest×Paneldata Random Effects Model×
FagområdeStatistikØkonometri
FamilieRegression modelRegression model
Oprindelsesår19782021
OphavspersonHausman (1978); robust variant after Arellano (1993)Baltagi (textbook treatment); classical random-effects panel estimator
TypePanel model specification testPanel data regression
Oprindelig kildeHausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251-1271. DOI ↗Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. DOI ↗
Aliasserrobust hausman specification test, cluster-robust hausman test, Robust Hausman Testirandom effects panel model, RE estimator, GLS random effects, Panel Veri — Rassal Etkiler Modeli
Relaterede55
ResuméThe 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 Random Effects model is a panel-data regression that treats unobserved individual heterogeneity as a random component drawn from a common distribution, rather than a separate parameter for each unit. It is a standard estimator in panel econometrics, developed in textbook treatments such as Baltagi's Econometric Analysis of Panel Data (2021).
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ScholarGateSammenlign metoder: Robust Hausman Test · Random Effects Model. Hentet 2026-06-17 fra https://scholargate.app/da/compare