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Hausmanov test specifikacije (FE vs RE)×Model slučajnih efekata za panelne podatke×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19782021
TvoracJerry A. HausmanBaltagi (textbook treatment); classical random-effects panel estimator
VrstaSpecification test for panel data modelsPanel data regression
Temeljni izvorHausman, 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 ↗
Drugi naziviHausman specification test, FE vs RE test, Durbin-Wu-Hausman test, Hausman Spesifikasyon Testi (FE vs RE)random effects panel model, RE estimator, GLS random effects, Panel Veri — Rassal Etkiler Modeli
Srodne55
SažetakThe Hausman test is a specification test, introduced by Jerry A. Hausman in 1978, that decides between the fixed-effects (FE) and random-effects (RE) estimators in panel data models. The null hypothesis is that the random-effects estimator is consistent and efficient and should be preferred; the alternative is that random effects is inconsistent and fixed effects is required because the unit-specific effects are correlated with the explanatory variables.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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ScholarGateUsporedite metode: Hausman Test · Random Effects Model. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare