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Output Convergence and International Trade: Time-Series and Fuzzy Clustering Evidence for New Zealand and her Trading Partners, 1950 - 1992

Listed author(s):
  • David EA Giles

Using historical time-series data, we test for convergence and common trends in real per capita output for New Zealand and her four major trading partners. Both bivariate and multivariate time-series methods are used, and we also implement the fuzzy c-means clustering algorithm as a new method for detecting convergence. The results of our time-series analysis accord with earlier studies - we find limited evidence of (only bivariate) convergence, but ample evidence of a small number of common trends. In contrast, our fuzzy clustering analysis reveals very strong evidence of a particular form of output convergence when the five trading countries are considered as a group.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/0963819042000333261
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Article provided by Taylor & Francis Journals in its journal The Journal of International Trade & Economic Development.

Volume (Year): 14 (2005)
Issue (Month): 1 ()
Pages: 93-114

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Handle: RePEc:taf:jitecd:v:14:y:2005:i:1:p:93-114
DOI: 10.1080/0963819042000333261
Contact details of provider: Web page: http://www.tandfonline.com/RJTE20

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