Convergence and Cluster Structures in EU Area according to Fluctuations in Macroeconomic Indices
AbstractCluster analysis methods allow for a comparative study of countries through basic macroeconomic indicator fluctuations. Statistical distances between 15 EU countries are first calculated for various moving time windows. The decrease in time of the mean statistical distance is observed through the correlated fluctuations of typical macroeconomic indicators: GDP, GDP/capita, Consumption and Investments. This empirical evidence can be seen as a mark of globalization. The Moving Average Minimal Length Path algorithm indicates the existence of cluster-like structures both in the hierarchical organization of countries and their relative movements inside the hierarchy. The most strongly correlated countries with respect to GDP fluctuations can be partitioned into stable clusters. Several so correlated countries display strong correlations also in the Final Consumption Expenditure; others are strongly correlated in the Gross Capital Formation. The similarity between the classifications due to GDP and Net Exports fluctuations is pointed out through the squared sum of the correlation coefficients, a so called “country sensitivity”. The structures are robust against changes in time window size. Policy implications concern the economic clusters arising in the presence of Marshallian externalities and the relationships between trade barriers, R&D incentives and growth that must be accounted for in elaborating cluster-promotion policies.
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Bibliographic InfoArticle provided by Center for Economic Integration, Sejong University in its journal Journal of Economic Integration.
Volume (Year): 23 (2008)
Issue (Month): ()
Statistical distances; Minimal length path; Convergence; Clusteri;
Other versions of this item:
- Mircea Gligor & Marcel Ausloos, 2008. "Convergence and cluster structures in EU area according to fluctuations in macroeconomic indices," Papers 0805.3071, arXiv.org.
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- O52 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Europe
- O57 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
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