Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Тест Хаусмана для панельных данных× | Модель с фиксированными эффектами× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1978 | 1971–1978 |
| Автор метода≠ | Jerry A. Hausman | Mundlak (1978); Nerlove (1971); classical panel econometrics |
| Тип≠ | Specification test | Panel regression estimator |
| Основополагающий источник≠ | Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗ | Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002 |
| Другие названия | Hausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test | FE model, within estimator, least squares dummy variable, LSDV regression |
| Связанные | 5 | 5 |
| Сводка≠ | The Hausman specification test for panel data determines whether individual-specific effects are correlated with the regressors — a correlation that would make the random effects estimator inconsistent. A statistically significant result favours the fixed effects model; a non-significant result supports the more efficient random effects model. | The fixed effects (FE) model is the workhorse estimator for panel data when unobserved unit-specific characteristics are suspected to correlate with the regressors. By absorbing each entity's time-invariant heterogeneity into a separate intercept, FE isolates the causal effect of within-unit variation and eliminates omitted-variable bias from time-constant confounders. |
| ScholarGateНабор данных ↗ |
|
|