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Model slučajnih učinaka (Robust Random Effects Model)×Test panelne specifikacije Hausman×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1980s–2000s1978
TvoracWooldridge; White (sandwich covariance); ArellanoJerry A. Hausman
VrstaPanel GLS estimator with robust inferenceSpecification test
Temeljni izvorWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
Drugi nazivirobust RE model, sandwich random effects estimator, cluster-robust random effects, GLS-robust REHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Srodne55
SažetakThe Robust Random Effects model estimates panel data relationships using the GLS random effects estimator while replacing the conventional standard errors with sandwich (heteroscedasticity- and cluster-robust) variance estimates. This protects inference against arbitrary within-group correlation and heteroscedasticity without discarding the efficiency gains of random effects when unit-specific effects are genuinely uncorrelated with the regressors.The Hausman specification test for panel data determines whether individual-specific effects are correlated with the regressors — a correlation that would make the random effects estimator inconsistent. A statistically significant result favours the fixed effects model; a non-significant result supports the more efficient random effects model.
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ScholarGateUsporedite metode: Robust Random Effects Model · Panel Hausman Test. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare