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  • 标题:Bayesian analysis of recursive SVAR models with overidentifying restrictions
  • 本地全文:下载
  • 作者:Andrzej Kociecki ; Michał Rubaszek ; Michele Ca' Zorzi
  • 期刊名称:Euro Area Balance of Payments and International Investment Position Statistics
  • 印刷版ISSN:1830-3420
  • 电子版ISSN:1830-3439
  • 出版年度:2012
  • 出版社:European Central Bank
  • 摘要:The paper provides a novel Bayesian methodological framework to estimate structural VAR (SVAR) models with recursive identi¯cation schemes that allows for the inclusion of over-identifying restrictions. The proposed framework enables the researcher to (i) elicit the prior on the non-zero contemporaneous relations between economic variables and to (ii) derive an analytical expression for the posterior distribution and marginal data density. We illustrate our methodological framework by estimating a backward look- ing New-Keynesian model taking into account prior beliefs about the contemporaneous coe±cients in the Phillips curve and Taylor rule.
  • 关键词:Structural VAR; Bayesian inference; overidentifying restrictions.
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