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강건한 확률 효과 모형×Panel Hausman Test×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도1980s–2000s1978
창시자Wooldridge; White (sandwich covariance); ArellanoJerry A. Hausman
유형Panel GLS estimator with robust inferenceSpecification test
원전Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
별칭robust RE model, sandwich random effects estimator, cluster-robust random effects, GLS-robust REHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
관련55
요약The Robust Random Effects model estimates panel data relationships using the GLS random effects estimator while replacing the conventional standard errors with sandwich (heteroscedasticity- and cluster-robust) variance estimates. This protects inference against arbitrary within-group correlation and heteroscedasticity without discarding the efficiency gains of random effects when unit-specific effects are genuinely uncorrelated with the regressors.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.
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