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Analysis and forecast of employees’ mobility on the labor market in Romania using Markov chains

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Author Info

  • Mariana Balan

    ()
    (Institute for Economic Forecasting - NIER, Romanian Academy and “Athenaeum” University – Bucharest, Romania)

  • Carmen Uzlau

    ()
    (Institute for Economic Forecasting - NIER, Romanian Academy and “Athenaeum” University – Bucharest, Romania)

  • Corina Maria Ene

    ()
    (Hyperion University of Bucharest, Romania)

Abstract

The mobility of labor, defined as responsiveness and adaptation of persons or groups of persons on the challenges of the social and economic environment is therefore a social phenomenon depending on time and space. A high mobility increases opportunities for workers to find a job and employers to find persons with an adequate level of skills, thus boosting employment and economic growth. In recent years, in Romania there has been an accentuation of existing gaps, compared with the European Union countries, as regards the occupational structure of employment. In this context, the paper proposes an analysis of the evolution of labor mobility in the main sectors of the Romanian economy. Also, it was pursued the Markovian modeling of employees’ mobility on the labor market and its forecast in Romania, under the impact of rapid and profound social and economic changes, and the correlation between them as well, with a view to make forecasts of the Romanian economy evolution in the short term.

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File URL: http://www.hej.hyperion.ro/articles/2(1)_2013/HEJ%20nr2(1)_2013_A2Balan.pdf
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Bibliographic Info

Article provided by Faculty of Economic Sciences, Hyperion University of Bucharest, Romania in its journal Hyperion Economic Journal.

Volume (Year): 1 (2013)
Issue (Month): 2 (June)
Pages: 13-25

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Handle: RePEc:hyp:journl:v:1:y:2013:i:2:p:13-25

Contact details of provider:
Postal: Hyperion University, Faculty of Economic Sciences, Calea Calarasilor no. 169, district 3, Bucharest, 030615, Romania
Phone: +4021-321.6446
Fax: +4021-321.62.96
Email:
Web page: http://www.econ.hyperion.ro/
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Related research

Keywords: employees; Markov chains; mobility; forecast;

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