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Model náhodných efektov pre panelové dáta×Panelový Hausmanov test×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku19661978
TvorcaBalestra & NerloveJerry A. Hausman
TypPanel data estimatorSpecification test
Pôvodný zdrojBalestra, P., & Nerlove, M. (1966). Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34(3), 585–612. DOI ↗Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
Ďalšie názvyrandom effects estimator, RE model, GLS random effects, error components modelHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Príbuzné55
ZhrnutieThe panel random effects (RE) model treats individual-specific effects as random draws from a population distribution rather than fixed constants, enabling efficient estimation by generalised least squares and allowing inference about time-invariant regressors that are swept away in fixed effects estimation.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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ScholarGatePorovnať metódy: Panel Random Effects Model · Panel Hausman Test. Získané 2026-06-17 z https://scholargate.app/sk/compare