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Bayesowski test Hausmana×Analiza bayesowska danych panelowych×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania1978 (classical); Bayesian adaptations 1990s–2000s1971–1999
TwórcaBayesian reformulation of Hausman (1978); developed across Bayesian econometrics literatureZellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999)
TypSpecification test / model comparisonBayesian estimation for panel data
Źródło pierwotneHausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
Inne nazwyBayesian specification test, Bayesian endogeneity test, Bayesian FE vs RE test, Bayesian Durbin-Wu-HausmanBayesian panel model, Bayesian longitudinal model, hierarchical panel model, Bayesian multilevel panel
Pokrewne55
PodsumowanieThe 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.Bayesian panel data analysis applies Bayesian inference to models with repeated observations on multiple units. By placing prior distributions on coefficients and variance components, it merges prior knowledge with the observed panel likelihood to produce full posterior distributions for fixed or random effects, slope heterogeneity, and variance parameters — rather than point estimates and asymptotic standard errors.
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ScholarGatePorównaj metody: Bayesian Hausman Test · Bayesian Panel Data Analysis. Pobrano 2026-06-15 z https://scholargate.app/pl/compare