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Robust Fixed Effects Model×Hausman-testen for paneldata×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19871978
OphavspersonManuel ArellanoJerry A. Hausman
TypePanel regression with robust inferenceSpecification test
Oprindelig kildeArellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. link ↗Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
AliasserFE with robust standard errors, cluster-robust fixed effects, fixed effects with heteroscedasticity-robust SE, within estimator with robust inferenceHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Relaterede55
ResuméThe robust fixed effects model combines the within-group estimator for panel data with variance-covariance matrices that remain valid under heteroscedasticity and within-unit error correlation. Introduced by Arellano (1987), cluster-robust standard errors paired with the fixed effects estimator are now the default approach for credible panel data inference in economics and social science.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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ScholarGateSammenlign metoder: Robust Fixed Effects Model · Panel Hausman Test. Hentet 2026-06-17 fra https://scholargate.app/da/compare