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Bayesian System GMM×Dynamický model panelových dát×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1998–20101988–1991
TvorcaBlundell & Bond (System GMM, 1998); Bayesian integration via Chib and related MCMC literatureArellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
TypBayesian dynamic panel estimatorDynamic regression / GMM estimation
Pôvodný zdrojBlundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297. DOI ↗
Ďalšie názvyBayesian Sys-GMM, Bayesian BB estimator, Bayesian Blundell-Bond GMM, B-SGMMdynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Príbuzné55
ZhrnutieBayesian System GMM combines the Blundell-Bond System Generalized Method of Moments estimator for dynamic panel data with Bayesian prior distributions and posterior inference via MCMC. It handles endogeneity, individual fixed effects, and weak-instrument problems while incorporating prior knowledge and delivering full posterior uncertainty quantification — not just point estimates and asymptotic standard errors.The dynamic panel data model extends standard panel regression by including a lagged value of the outcome variable as a regressor, capturing persistence and adjustment dynamics. Because the lagged dependent variable is correlated with the unit-specific fixed effect, ordinary OLS or within estimators are biased; GMM-based methods using internal instruments are the standard remedy.
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ScholarGatePorovnať metódy: Bayesian System GMM · Dynamic Panel Data Model. Získané 2026-06-15 z https://scholargate.app/sk/compare