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  • 标题:Dynamic Simulation and Testing for Single-Equation Cointegrating and Stationary Autoregressive Distributed Lag Models
  • 本地全文:下载
  • 作者:Soren Jordan ; Andrew Q. Philips
  • 期刊名称:R News
  • 印刷版ISSN:1609-3631
  • 出版年度:2018
  • 卷号:10
  • 期号:2
  • 页码:469-488
  • 语种:English
  • 出版社:The R Foundation for Statistical Computing
  • 摘要:While autoregressive distributed lag models allow for extremely flexible dynamics, interpret ing the substantive significance of complex lag structures remains difficult. In this paper we discuss dynamac (dynamic autoregressive and cointegrating models), an R package designed to assist users in estimating, dynamically simulating, and plotting the results of a variety of autoregressive distributed lag models. It also contains a number of post-estimation diagnostics, including a test for cointegration for when researchers are estimating the error-correction variant of the autoregressive distributed lag model.
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