Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Solidna analiza danych panelowych× | Test Hausmana dla danych panelowych× | |
|---|---|---|
| Dziedzina | Ekonometria | Ekonometria |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 1987 | 1978 |
| Twórca≠ | Arellano (1987); White (1980) heteroscedasticity-consistent framework | Jerry A. Hausman |
| Typ≠ | Robust estimation / inference correction | Specification test |
| Źródło pierwotne≠ | Arellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. link ↗ | Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗ |
| Inne nazwy | robust panel regression, cluster-robust panel estimation, panel regression with robust standard errors, HC/CR panel estimator | Hausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test |
| Pokrewne≠ | 6 | 5 |
| Podsumowanie≠ | Robust panel data analysis applies standard panel estimators — fixed effects, random effects, or pooled OLS — while replacing conventional standard errors with cluster-robust or heteroscedasticity-consistent (HC) variants. The point estimates remain unchanged; what changes is the variance-covariance matrix used for inference, making t-tests and F-tests valid even when errors are heteroscedastic or correlated within cross-sectional units over time. | 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. |
| ScholarGateZbiór danych ↗ |
|
|