Comparer des méthodes

	Test de Hausman bayésien	Analyse bayésienne de données de panel
Domaine	Économétrie	Économétrie
Famille	Regression model	Regression model
Année d'origine	1978 (classical); Bayesian adaptations 1990s–2000s	1971–1999
Auteur d'origine	Bayesian reformulation of Hausman (1978); developed across Bayesian econometrics literature	Zellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999)
Type	Specification test / model comparison	Bayesian estimation for panel data
Source fondatrice	Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
Alias	Bayesian specification test, Bayesian endogeneity test, Bayesian FE vs RE test, Bayesian Durbin-Wu-Hausman	Bayesian panel model, Bayesian longitudinal model, hierarchical panel model, Bayesian multilevel panel
Apparentées	5	5
Résumé	The 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.