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Bayesiläinen Hausmanin testi×Bayesilainen satunnaisten vaikutusten malli×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi1978 (classical); Bayesian adaptations 1990s–2000s1972–1995
KehittäjäBayesian reformulation of Hausman (1978); developed across Bayesian econometrics literatureLindley & Smith (1972); extended by Gelman, Rubin and colleagues
TyyppiSpecification test / model comparisonBayesian hierarchical panel model
AlkuperäislähdeHausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955
RinnakkaisnimetBayesian specification test, Bayesian endogeneity test, Bayesian FE vs RE test, Bayesian Durbin-Wu-HausmanBayesian hierarchical model, Bayesian mixed effects model, Bayesian multilevel model, BREM
Liittyvät55
TiivistelmäThe Bayesian Hausman test is a Bayesian reformulation of Hausman's (1978) classical specification test, used to assess endogeneity or to choose between fixed effects and random effects panel models. Instead of a chi-squared test statistic, it uses posterior model probabilities or Bayes factors to compare competing specifications, fully incorporating prior uncertainty about model parameters.The Bayesian random effects model combines panel-data random effects with a Bayesian prior framework, allowing unit-specific effects to be treated as draws from a population distribution whose hyperparameters are estimated from the data. This produces regularised, uncertainty-quantified estimates that borrow strength across units — particularly valuable for short panels, sparse groups, or settings where frequentist variance-component estimation is unstable.
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ScholarGateVertaile menetelmiä: Bayesian Hausman Test · Bayesian Random Effects Model. Haettu 2026-06-15 osoitteesta https://scholargate.app/fi/compare