方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 面板广义最小二乘法 (Panel GLS)× | 稳健OLS（具有稳健标准误的OLS）× | |
|---|---|---|
| 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 | 1980 |
| 提出者≠ | Aitken (1935); extended to panel data by Baltagi and others | Halbert White |
| 类型≠ | Generalized linear regression | Linear regression with robust inference |
| 开创性文献≠ | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 | White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. DOI ↗ |
| 别名 | Panel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panel | HC robust regression, White robust OLS, sandwich estimator OLS, OLS with robust standard errors |
| 相关≠ | 3 | 6 |
| 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. | Robust OLS applies ordinary least squares to estimate coefficients and then replaces the classical standard errors with heteroscedasticity-consistent (HC) standard errors — commonly called White standard errors. This leaves the point estimates unchanged while yielding valid t-statistics and confidence intervals even when the error variance is not constant across observations. |
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