Cluster Analysis of the EU Countries in Terms of Labor Market Indicators

Daniela Pasnicu (), Speranta Pirciog, Catalin Ghinararu and Gabriela Tudose
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Daniela Pasnicu: INCSMPS, Spiru Haret University, Postal: Bucharest, Romania
Speranta Pirciog: INCSMPS, Spiru Haret University, Postal: Bucharest, Romania
Catalin Ghinararu: INCSMPS, Spiru Haret University, Postal: Bucharest, Romania
Gabriela Tudose: INCSMPS, Spiru Haret University, Postal: Bucharest, Romania

International Conference on Economic Sciences and Business Administration, 2014, vol. 1, issue 1, 222-229

Abstract: Dynamics of main indicators in the EU labor market context reflects that the EU labor market as whole remains tense, and that differs substantially from one country to another. This paper includes an analysis of recent developments in labor market participation, employment, unemployment, education level with special concerning on data disaggregated by age and sex. Paper aims to group the EU countries according to key indicators of the labor market for gaps and similarities identification in order to achieve the objectives of cohesion policies at EU level. To achieve this propose it was used hierarchical cluster analysis method.

Keywords: labor market; cluster analysis method; employment; unemployment; cohesion policies; vulnerable groups. (search for similar items in EconPapers)
JEL-codes: E19 E24 (search for similar items in EconPapers)
Date: 2014
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