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

Author

Listed:
  • Daniela PASNICU

    (INCSMPS, Spiru Haret University)

  • Speranta PIRCIOG

    (INCSMPS, Spiru Haret University)

  • Catalin GHINARARU

    (INCSMPS, Spiru Haret University)

  • Gabriela TUDOSE

    (INCSMPS, Spiru Haret University)

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.

Suggested Citation

  • Daniela PASNICU & Speranta PIRCIOG & Catalin GHINARARU & Gabriela TUDOSE, 2014. "Cluster Analysis of the EU Countries in Terms of Labor Market Indicators," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 1(1), pages 222-229, December.
    • Handle: RePEc:icb:wpaper:v:1:y:2014:i:1:222-229
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    References listed on IDEAS

    as
    1. Regis Barnichon & Andrew Figura, 2015. "Labor Market Heterogeneity and the Aggregate Matching Function," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 222-249, October.
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    Keywords

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    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E19 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Other

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