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面板广义最小二乘法 (Panel GLS)×面板固定效应模型×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份1935 / developed for panels 1980s–1990s1978
提出者Aitken (1935); extended to panel data by Baltagi and othersMundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
类型Generalized linear regressionPanel regression estimator
开创性文献Wooldridge, 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
别名Panel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panelwithin estimator, FE model, within-group estimator, LSDV model
相关35
摘要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.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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  3. PUBLISHED

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ScholarGate方法对比: Panel GLS · Panel Fixed Effects Model. 于 2026-06-17 检索自 https://scholargate.app/zh/compare