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文章基本信息

  • 标题:A Pitfall in Using the Characterization of Granger Non-Causality in Vector Autoregressive Models
  • 本地全文:下载
  • 作者:Triacca, Umberto
  • 期刊名称:Econometrics
  • 印刷版ISSN:2225-1146
  • 出版年度:2015
  • 卷号:3
  • 期号:2
  • 页码:233-239
  • 出版社:MDPI, Open Access Journal
  • 摘要:It is well known that in a vector autoregressive (VAR) model Granger non-causality is characterized by a set of restrictions on the VAR coefficients. This characterization has been derived under the assumption of non-singularity of the covariance matrix of the innovations. This note shows that if this assumption is violated, then the characterization of Granger non-causality in a VAR model fails to hold. In these situations Granger non-causality test results must be interpreted with caution.
  • 关键词:covariance matrix; Granger causality; time series
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