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	Robust paneldataanalys	Panel Hausman-test
Ämnesområde	Ekonometri	Ekonometri
Familj	Regression model	Regression model
Ursprungsår	1987	1978
Upphovsperson	Arellano (1987); White (1980) heteroscedasticity-consistent framework	Jerry A. Hausman
Typ	Robust estimation / inference correction	Specification test
Ursprungskälla	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.
Alias	robust panel regression, cluster-robust panel estimation, panel regression with robust standard errors, HC/CR panel estimator	Hausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Närliggande	6	5
Sammanfattning	Robust panel data analysis applies standard panel estimators — fixed effects, random effects, or pooled OLS — while replacing conventional standard errors with cluster-robust or heteroscedasticity-consistent (HC) variants. The point estimates remain unchanged; what changes is the variance-covariance matrix used for inference, making t-tests and F-tests valid even when errors are heteroscedastic or correlated within cross-sectional units over time.	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.