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Panel OLS (Pooled Ordinary Least Squares)×Panelová metoda zobecněných nejmenších čtverců (Panel GLS)×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku1986-20031935 / developed for panels 1980s–1990s
TvůrceClassical least squares applied to pooled panels; foundational treatment in Hsiao (2003) and Wooldridge (2010)Aitken (1935); extended to panel data by Baltagi and others
TypLinear panel regressionGeneralized linear regression
Původní zdrojWooldridge, 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
Další názvypooled OLS, pooled ordinary least squares, panel least squares, POLSPanel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panel
Příbuzné43
ShrnutíPanel 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.Panel 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.
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ScholarGatePorovnat metody: Panel OLS · Panel GLS. Získáno 2026-06-17 z https://scholargate.app/cs/compare