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Panelna generalizirana metoda najmanjih kvadrata (Panel GLS)×Model panel podataka s nasumičnim učincima×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1935 / developed for panels 1980s–1990s1966
TvoracAitken (1935); extended to panel data by Baltagi and othersBalestra & Nerlove
VrstaGeneralized linear regressionPanel data estimator
Temeljni izvorWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Balestra, 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 naziviPanel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panelrandom effects estimator, RE model, GLS random effects, error components model
Srodne35
SažetakPanel GLS is a regression method for longitudinal data that explicitly models the non-spherical error structure — heteroscedasticity across units and serial correlation within units — to recover efficient coefficient estimates. Unlike OLS, it weights observations by the inverse of the error covariance matrix, yielding the Best Linear Unbiased Estimator when the error structure is correctly specified.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: Panel GLS · Panel Random Effects Model. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare