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Output Convergence and International Trade: Time-Series and Fuzzy Clustering Evidence for New Zealand and her Trading Partners, 1950--1992 Author info | Abstract | Publisher info | Download info | Related research | Statistics David Giles
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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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Article provided by Taylor and Francis Journals in its journal Journal of International Trade & Economic Development .
Volume (Year): 14 (2005)
Issue (Month): 1 (March)
Pages: 93-114
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Handle: RePEc:taf:jitecd:v:14:y:2005:i:1:p:93-114Contact details of provider: Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=104717
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Keywords: Economic growth ; international trade ; convergence ; common trends ; cointegration ; fuzzy sets ; pattern recognition ; fuzzy c-means algorithm ; Other versions of this item:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
David E. A. Giles & Chad Stroomer, 2003.
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