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Robusna analiza panel podataka×Test panelne specifikacije Hausman×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19871978
TvoracArellano (1987); White (1980) heteroscedasticity-consistent frameworkJerry A. Hausman
VrstaRobust estimation / inference correctionSpecification test
Temeljni izvorArellano, 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 ↗
Drugi nazivirobust panel regression, cluster-robust panel estimation, panel regression with robust standard errors, HC/CR panel estimatorHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Srodne65
SažetakRobust 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.
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ScholarGateUsporedite metode: Robust Panel Data Analysis · Panel Hausman Test. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare