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文章基本信息

  • 标题:Identifying long-run behaviour with non-stationary data.
  • 本地全文:下载
  • 作者:Luc BAUWENS ; John HUNTER
  • 期刊名称:CORE Discussion Papers / Center for Operations Research and Econometrics (UCL), Louvain
  • 出版年度:2000
  • 卷号:2000
  • 出版社:Center for Operations Research and Econometrics (UCL), Louvain
  • 摘要:Results for the identification of non-linear models are used to support the traditional form of the order condition by sufficient conditions. The sufficient conditions reveal a two step procedure for firstly checking generic identifi- cation and then testing identifiability. This approach can be extended to sub-blocks of the system and it generalizes to non-linear restrictions. The procedure is applied to an empirical model of the exchange rate, which is identified by diagonalising the system.
  • 关键词:Cointegration, Identification, Identifiability, Order Condition, Suf- ficientConditions.
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