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- Portuguese regional unemployment patterns: a k-means cluster analysis approachPublication . Nunes, Alcina; Barros, ElisaThe 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.
- Unemployment similarities among portuguese regions - a cluster analysis approachPublication . Barros, Elisa; Nunes, AlcinaThe regional distribution of the unemployed individual characteristics is of core importance for the development of public policies that can fight the unemployment phenomenon, especially in times of crises. The data mining cluster methodology allows finding groups of regional areas that share the same characteristics for the register unemployed and, therefore, helps in a better understanding of the problem and possible solutions. Preliminary results for the Portuguese regions show a clear division of the territory among four regions – north and south and urban and rural areas of the country – concerning individual characteristics such the gender, age, education or unemployment duration. These results have policy consequences.
- Evolution of portuguese regional unemployment patterns from 2004 to 2009.Publication . Nunes, Alcina; Barros, ElisaThe data mining methodology, in particular the 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 some characteristics of unemployed register 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. The research is based on annual cross-section data, from the Portuguese public employment service, for the period of 6 years (from 2004 to 2009). The analysis over time tries to find out if there are persistent regional trends especially when the aggregate unemployment rate rises.
- Regional unemployment patterns: a cluster analysis approach to the portuguese economyPublication . Nunes, Alcina; Barros, ElisaThe data mining methodology, in particular the 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 some 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. The research is based on annual cross-section data, from the Portuguese public employment service, for the period before and after the finance crisis. The analysis over time tries to find out if there are persistent regional trends especially when the aggregate unemployment rate rises. 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.