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  • 标题:Cointegrated Vector Autoregressive Models with Adjusted Short-Run Dynamics
  • 本地全文:下载
  • 作者:Takamitsu Kurita ; Bent Nielsen
  • 期刊名称:Quantitative and Qualitative Analysis in Social Sciences
  • 印刷版ISSN:1752-8925
  • 出版年度:2009
  • 卷号:3
  • 期号:3
  • 页码:43-77
  • 出版社:Quantitative and Qualitative Analysis in Social Sciences
  • 摘要:A family of cointegrated vector autoregressive models with adjusted short-rundynamicsisintroduced.These models can describe evolving short-run dynamics in a more .exible way than standard vectorautoregressions, and yet likeliho od analysis is based on reduced rank regression using conventionalasymptotic tables. The family of dynamics-adjusted vector autoregressions consists of three models: amodel sub ject to short-run parameter changes, a mo del with partial short-run dynamics and a mo delwith short-run explanatory variables. An empirical illustration using US gasoline prices is presented,together with some simulation experiments
  • 关键词:Cointegration; adjusted short-run dynamics; parameter change; likelihood ratio test
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