Compara mètodes

	Model de Mínims Quadrats Ordinaris amb Efectes Fixos Robust	Test de Hausman per a dades de panell
Camp	Econometria	Econometria
Família	Regression model	Regression model
Any d'origen	1987	1978
Autor original	Manuel Arellano	Jerry A. Hausman
Tipus	Panel regression with robust inference	Specification test
Font seminal	Arellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434.	Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.
Àlies	FE with robust standard errors, cluster-robust fixed effects, fixed effects with heteroscedasticity-robust SE, within estimator with robust inference	Hausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Relacionats	5	5
Resum	The 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.