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Bajezijanski model dinamičkih panel podataka×Bajesijanska analiza panel podataka×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka2002–20071971–1999
TvoracHsiao, Pesaran, Tahmiscioglu; Arellano & BonhommeZellner (1971); Hsiao, Pesaran, and Tahmiscioglu (1999)
TipBayesian panel modelBayesian estimation for panel data
Temeljni izvorHsiao, 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
Drugi naziviBayesian 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
Srodne65
SažetakThe 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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ScholarGateUporedite metode: Bayesian Dynamic Panel Data Model · Bayesian Panel Data Analysis. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare