Regression modelEconometrics / time series
贝叶斯结构向量自回归（B-SVAR）模型
贝叶斯结构向量自回归模型将SVAR的结构识别与参数的贝叶斯先验分布相结合。它估计多个时间序列之间的因果脉冲响应，同时纳入先验经济知识，并生成完整的后验不确定性区间，而非仅仅点估计。
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来源
- Sims, C. A., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968. DOI: 10.2307/2527347 ↗
- Uhlig, H. (2005). What are the effects of monetary policy on output? Results from an agnostic identification procedure. Journal of Monetary Economics, 52(2), 381–419. DOI: 10.1016/j.jmoneco.2004.05.007 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Structural Vector Autoregression Model. ScholarGate. https://scholargate.app/zh/econometrics/bayesian-svar-model
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.
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- 结构向量自回归 (SVAR)计量经济学↔ compare
- 向量自回归 (VAR)计量经济学↔ compare
- 向量误差修正模型 (VECM)计量经济学↔ compare