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Mínims Quadrats Generalitzats de Panell (Panel GLS)×Model d'efectes fixos en dades de panell×
CampEconometriaEconometria
FamíliaRegression modelRegression model
Any d'origen1935 / developed for panels 1980s–1990s1978
Autor originalAitken (1935); extended to panel data by Baltagi and othersMundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
TipusGeneralized linear regressionPanel regression estimator
Font seminalWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
ÀliesPanel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panelwithin estimator, FE model, within-group estimator, LSDV model
Relacionats35
ResumPanel 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 fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those regressors.
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ScholarGateCompara mètodes: Panel GLS · Panel Fixed Effects Model. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare