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Análise Bayesiana de Dados em Painel×Teste de Hausman para Painel×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1971–19991978
Autor originalZellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999)Jerry A. Hausman
TipoBayesian estimation for panel dataSpecification test
Fonte seminalHsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
Outros nomesBayesian panel model, Bayesian longitudinal model, hierarchical panel model, Bayesian multilevel panelHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Relacionados55
ResumoBayesian 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.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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ScholarGateComparar métodos: Bayesian Panel Data Analysis · Panel Hausman Test. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare