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Model de dades de panell dinàmic bayesià×Anàlisi Bayesiana de Dades Panell×
CampEconometriaEconometria
FamíliaRegression modelRegression model
Any d'origen2002–20071971–1999
Autor originalHsiao, Pesaran, Tahmiscioglu; Arellano & BonhommeZellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999)
TipusBayesian panel modelBayesian estimation for panel data
Font seminalHsiao, C., Pesaran, M. H., & Tahmiscioglu, A. K. (2002). Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods. Journal of Econometrics, 109(1), 107–150. DOI ↗Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
ÀliesBayesian DPD model, Bayesian lagged dependent variable panel model, Bayesian autoregressive panel model, B-DPDBayesian panel model, Bayesian longitudinal model, hierarchical panel model, Bayesian multilevel panel
Relacionats65
ResumThe Bayesian dynamic panel data model extends standard dynamic panel models — which include a lagged dependent variable to capture state dependence — by estimating all parameters within a Bayesian framework. Prior distributions are combined with the likelihood to yield a full posterior distribution over model parameters, enabling probabilistic inference and coherent uncertainty quantification even in short panels.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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ScholarGateCompara mètodes: Bayesian Dynamic Panel Data Model · Bayesian Panel Data Analysis. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare