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Portuguese Regional Unemployment Patterns: A k-Means Cluster Analysis Approach

Author

Listed:
  • NUNES Alcina
  • BARROS Elisa

    (Instituto Politécnico de Bragança
    Instituto Politécnico de Bragança)

Abstract

The k-means cluster analysis technique is an important ally in the study of economic patterns in a multivariate framework. Aware of its analytical importance this paper adopts such method of study to identify groups of Portuguese administrative regions that share similar patterns regarding the characteristics of unemployed registered individuals. The regional distribution of the unemployed individual characteristics is of core importance for the development of public policies directed to fight the unemployment phenomenon, especially in times of crisis. Preliminary results show a clear division of the territory into four regions – north and south and urban and rural areas - that stresses the importance of designing well-directed public labour policies.

Suggested Citation

  • NUNES Alcina & BARROS Elisa, 2010. "Portuguese Regional Unemployment Patterns: A k-Means Cluster Analysis Approach," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 454-458, May.
    • Handle: RePEc:ovi:oviste:v:10:y:2010:i:1:p:454-458
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    More about this item

    Keywords

    regional unemployment; labour market; regional dissimilarities;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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