Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Обобщен метод на най-малките квадрати за панелни данни (Panel GLS)× | Панелен МНМК (Обединен метод на най-малките квадрати)× | |
|---|---|---|
| Област | Иконометрия | Иконометрия |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1935 / developed for panels 1980s–1990s | 1986-2003 |
| Създател≠ | 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) |
| Тип≠ | Generalized linear regression | Linear panel regression |
| Основополагащ източник | 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 |
| Други названия | Panel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panel | pooled OLS, pooled ordinary least squares, panel least squares, POLS |
| Свързани≠ | 3 | 4 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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