Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| МНК с робастными стандартными ошибками× | Модель с фиксированными эффектами панели× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1980 | 1978 |
| Автор метода≠ | Halbert White | Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021) |
| Тип≠ | Linear regression with robust inference | Panel regression estimator |
| Основополагающий источник≠ | White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. DOI ↗ | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 |
| Другие названия | HC robust regression, White robust OLS, sandwich estimator OLS, OLS with robust standard errors | within estimator, FE model, within-group estimator, LSDV model |
| Связанные≠ | 6 | 5 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
|
|