Bayesian System GMM
Bayesian System GMM kombinerer Blundell-Bond System Generalized Method of Moments-estimatoren for dynamiske paneldata med Bayesianske prior-fordelinger og posterior-inferens via MCMC. Den håndterer endogenitet, individuelle faste effekter og svage instrumentproblemer, samtidig med at den inkorporerer forhåndsviden og leverer fuld kvantificering af posterior-usikkerhed – ikke kun punktestimater og asymptotiske standardfejl.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI: 10.1016/S0304-4076(98)00009-8 ↗
- Chib, S., & Ramamurthy, S. (2010). Tailored randomized block MCMC methods with application to DSGE models. Journal of Econometrics, 155(1), 19–38. DOI: 10.1016/j.jeconom.2009.08.003 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Bayesian System Generalized Method of Moments. ScholarGate. https://scholargate.app/da/econometrics/bayesian-system-gmm
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Arellano-Bond GMM-estimatorØkonometri↔ compare
- Difference GMM (Arellano-Bond Estimator)Økonometri↔ compare
- Dynamisk PaneldatamodelØkonometri↔ compare
- Dynamisk paneldatamodelØkonometri↔ compare
- Panel System GMM (Blundell-Bond Estimator)Økonometri↔ compare
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