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Using Cluster Analysis for Studying the Proximity of Registered Unemployment at the Level of Counties in Romania at the Beginning of the Economic Crisis

Author

Listed:
  • Babucea Ana-Gabriela
  • Danacica Emanuela-Daniela

    (Constantin Brancusi University of Targu Jiu, Faculty of Economics, Romania)

Abstract

Cluster analysis classifies a set of observations into two or more mutually exclusive unknown groups based on combination of interval variables and it has proven to be very useful. The classification aim is grouping the objects between their similarities or dissimilarities and so providing a synthetic description or a cut of data. In this paper we analyze the disparities into the counties of Romania looking the number of registered unemployed according to the latest official statistical data using one technique of clusters analysis.

Suggested Citation

  • Babucea Ana-Gabriela & Danacica Emanuela-Daniela, 2009. "Using Cluster Analysis for Studying the Proximity of Registered Unemployment at the Level of Counties in Romania at the Beginning of the Economic Crisis," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 347-356, May.
  • Handle: RePEc:cbu:jrnlec:y:2009:v:1:p:347-356
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    Cited by:

    1. Zaharia Marian & Balacescu Aniela, 2012. "Characteristics Of Unemployment In South West Oltenia Region In 2004 -2011," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 243-247, December.

    More about this item

    Keywords

    cluster analysis; economic crisis; statistics; unemployment;

    JEL classification:

    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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