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Робусни модел фиксних ефеката×Model slučajnih efekata za panel podatke×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19871966
TvoracManuel ArellanoBalestra & Nerlove
TipPanel regression with robust inferencePanel data estimator
Temeljni izvorArellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. link ↗Balestra, P., & Nerlove, M. (1966). Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34(3), 585–612. DOI ↗
Drugi naziviFE with robust standard errors, cluster-robust fixed effects, fixed effects with heteroscedasticity-robust SE, within estimator with robust inferencerandom effects estimator, RE model, GLS random effects, error components model
Srodne55
SažetakThe 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 panel random effects (RE) model treats individual-specific effects as random draws from a population distribution rather than fixed constants, enabling efficient estimation by generalised least squares and allowing inference about time-invariant regressors that are swept away in fixed effects estimation.
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ScholarGateUporedite metode: Robust Fixed Effects Model · Panel Random Effects Model. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare