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Robusna analiza panel podataka×Model panel podataka s nasumičnim učincima×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19871966
TvoracArellano (1987); White (1980) heteroscedasticity-consistent frameworkBalestra & Nerlove
VrstaRobust estimation / inference correctionPanel 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 nazivirobust panel regression, cluster-robust panel estimation, panel regression with robust standard errors, HC/CR panel estimatorrandom effects estimator, RE model, GLS random effects, error components model
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 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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ScholarGateUsporedite metode: Robust Panel Data Analysis · Panel Random Effects Model. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare