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Bayesiansk dynamisk paneldatamodell×Panel Fixed Effects-modell×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår2002–20071978
OpphavspersonHsiao, Pesaran, Tahmiscioglu; Arellano & BonhommeMundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
TypeBayesian panel modelPanel regression estimator
Opprinnelig kildeHsiao, 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 ↗Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
AliasBayesian DPD model, Bayesian lagged dependent variable panel model, Bayesian autoregressive panel model, B-DPDwithin estimator, FE model, within-group estimator, LSDV model
Relaterte65
SammendragThe 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.The panel fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those regressors.
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ScholarGateSammenlign metoder: Bayesian Dynamic Panel Data Model · Panel Fixed Effects Model. Hentet 2026-06-15 fra https://scholargate.app/no/compare