Salīdzināt metodes

	Robusta paneldatu analīze	Panel Hausman tests
Nozare	Ekonometrija	Ekonometrija
Saime	Regression model	Regression model
Izcelsmes gads	1987	1978
Autors	Arellano (1987); White (1980) heteroscedasticity-consistent framework	Jerry A. Hausman
Tips	Robust estimation / inference correction	Specification test
Pirmavots	Arellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434.	Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.
Citi nosaukumi	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
Saistītās	6	5
Kopsavilkums	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.