Output Convergence and International Trade: Time-Series and Fuzzy Clustering Evidence for New Zealand and her Trading Partners, 1950 - 1992
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.
Year of publication: |
2005
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Authors: | Giles, David EA |
Published in: |
The Journal of International Trade & Economic Development. - Taylor & Francis Journals, ISSN 0963-8199. - Vol. 14.2005, 1, p. 93-114
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Publisher: |
Taylor & Francis Journals |
Subject: | Economic growth | international trade | convergence | common trends | cointegration | fuzzy sets | pattern recognition | fuzzy c-means algorithm |
Saved in:
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