Regression modelEconometrics / time series
贝叶斯系统GMM
贝叶斯系统GMM将Blundell-Bond系统广义矩估计（System Generalized Method of Moments, System GMM）与贝叶斯先验分布和通过马尔可夫链蒙特卡洛（MCMC）进行的后验推断相结合，用于动态面板数据。它处理内生性、个体固定效应和弱工具变量问题，同时纳入先验知识并提供完整的后验不确定性量化——而不仅仅是点估计和渐近标准误。
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来源
- 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 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian System Generalized Method of Moments. ScholarGate. https://scholargate.app/zh/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 估计量计量经济学↔ compare
- 差分GMM（Arellano-Bond估计量）计量经济学↔ compare
- 动态面板数据模型计量经济学↔ compare
- 动态面板数据模型计量经济学↔ compare
- 面板系统GMM（Blundell-Bond估计量）计量经济学↔ compare