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Panel Generaliserede Mindste Kvadraters Metode (Panel GLS)×Panel OLS (Pooled Ordinary Least Squares)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår1935 / developed for panels 1980s–1990s1986-2003
OphavspersonAitken (1935); extended to panel data by Baltagi and othersClassical least squares applied to pooled panels; foundational treatment in Hsiao (2003) and Wooldridge (2010)
TypeGeneralized linear regressionLinear panel regression
Oprindelig kildeWooldridge, 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
AliasserPanel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panelpooled OLS, pooled ordinary least squares, panel least squares, POLS
Relaterede34
ResuméPanel 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.Panel OLS — also called Pooled OLS — applies the classical ordinary least squares estimator to panel data by stacking all cross-sectional units and time periods into a single sample. It estimates one common set of slope coefficients under the assumption that the intercept and slopes are homogeneous across units and time.
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ScholarGateSammenlign metoder: Panel GLS · Panel OLS. Hentet 2026-06-17 fra https://scholargate.app/da/compare