方法对比
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| 面板广义最小二乘法 (Panel GLS)× | 面板普通最小二乘法（汇总普通最小二乘法）× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1935 / developed for panels 1980s–1990s | 1986-2003 |
| 提出者≠ | Aitken (1935); extended to panel data by Baltagi and others | Classical least squares applied to pooled panels; foundational treatment in Hsiao (2003) and Wooldridge (2010) |
| 类型≠ | Generalized linear regression | Linear panel regression |
| 开创性文献 | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 | Wooldridge, 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 panel | pooled OLS, pooled ordinary least squares, panel least squares, POLS |
| 相关≠ | 3 | 4 |
| 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. | 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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