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

David Giles

No 102, Econometrics Working Papers from Department of Economics, University of Victoria

Abstract: 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 an alternative basis 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.

Keywords: Economic growth; international trade; convergence; common trends; cointegration; fuzzy sets; pattern recognition (search for similar items in EconPapers)
JEL-codes: C22 F43 O0 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2001-06-12
New Economics Papers: this item is included in nep-tid
Note: ISSN 1485-6441
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Related works:
Journal Article: Output Convergence and International Trade: Time-Series and Fuzzy Clustering Evidence for New Zealand and her Trading Partners, 1950 - 1992 (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:vic:vicewp:0102

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