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  • 标题:Understanding Eurasian Convergence: Application Of Kohonen Self-Organizing Maps
  • 本地全文:下载
  • 作者:Deichmann, Joel I. ; Eshghi, Abdolreza ; Haughton, Dominique
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2006
  • 卷号:5
  • 期号:1
  • 页码:8
  • 出版社:Wayne State University
  • 摘要:Kohonen self-organizing maps (SOMs) are employed to examine economic and social convergence of Eurasian countries based on a set of twenty-eight socio-economic measures. A core of European Union states is identified that provides a benchmark against which convergence of post-socialist transition economies may be judged. The Central European Visegrád countries and Baltics show the greatest economic convergence to Western Europe, while other states form clusters that lag behind. Initial conditions on the social dimension can either facilitate or constrain economic convergence, as discovered in Central Europe vis-à-vis the Central Asian Republics. Disquiet in the convergence literature is resolved by providing an analysis of the Eurasian states over time.
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