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Employment Dynamics in the Romanian Labor Market. A Markov Chain Monte Carlo Approach

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  • Alexandru Voicu

Abstract

We use micro data from the Romanian Labor Force Survey to analyze the effect of the restructuring process on the employment dynamics of urban residents in the Romanian labor market. We analyze the way personal characteristics influence individuals’ ability to adjust to labor market transformations. Sequential employment decisions made by individuals are modeled as Markov decision processes. The resulting multivariate probit models are estimated using Markov Chain Monte Carlo techniques.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

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  • Alexandru Voicu, 2002. "Employment Dynamics in the Romanian Labor Market. A Markov Chain Monte Carlo Approach," Computing in Economics and Finance 2002 349, Society for Computational Economics.
    • Handle: RePEc:sce:scecf2:349
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    Cited by:

    1. Cilasun, Seyit Mumin & Acar, Elif Oznur & Gunalp, Burak, 2015. "The Effects of Labor Market Reforms on the Labor Market Dynamics in Turkey," MPRA Paper 64767, University Library of Munich, Germany.
    2. Ofer Malamud & Cristian Pop-Eleches, 2008. "General Education vs. Vocational Training: Evidence from an Economy in Transition," NBER Working Papers 14155, National Bureau of Economic Research, Inc.
    3. Benoit Dostie & David Sahn, 2006. "Labor Market Dynamics in Romania During a Period of Economic Liberalization," Cahiers de recherche 06-17, HEC Montréal, Institut d'économie appliquée, revised Jun 2008.
    4. Carolina Fugazza, 2012. "Employment Risk over the Life Cycle," Carlo Alberto Notebooks 280, Collegio Carlo Alberto.
    5. Christelle Garrouste & Massimo Loi, 2011. "School-to-work transitions in Europe: Speed of convergence to permanent employment," Post-Print hal-03245393, HAL.
    6. Lídia Farré, 2016. "New evidence on the healthy immigrant effect," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(2), pages 365-394, April.
    7. Leman Yonca Gurbuzer & Ozge Nihan Koseleci, 2008. "What hides behind extended periods of youth unemployment in Bosnia and Herzegovina? Evidence from individual level data," Working Papers hal-00308629, HAL.
    8. Saleh Alkafri, 2011. "Transition from High Education to the Labour Market: Unemployment within Graduates from the Gender Prospective In the Palestinian Territory," Working Papers 30, AlmaLaurea Inter-University Consortium.
    9. John Earle, 2012. "Industrial decline and labor reallocation in a transforming economy: Romania in early transition," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-18, December.
    10. Garrouste, Christelle & Loi, Massimo, 2011. "School-to-work transitions in Europe: Paths towards a permanent contract," MPRA Paper 37167, University Library of Munich, Germany.
    11. Ambrosini, J. William & Mayr, Karin & Peri, Giovanni & Radu, Dragos, 2012. "The Selection of Migrants and Returnees in Romania: Evidence and Long-Run Implications," IZA Discussion Papers 6664, Institute of Labor Economics (IZA).
    12. Lenuta Carp, 2012. "The Impact of FDI on the labor market in Central and Eastern Europe during the international crisis," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 3(1), pages 43-54, July.
    13. Ambrosini, J. William & Mayr, Karin & Peri, Giovanni & Radu, Dragos, 2012. "The Selection of Migrants and Returnees in Romania: Evidence and Long-Run Implications," IZA Discussion Papers 6664, Institute for the Study of Labor (IZA).
    14. J. William Ambrosini & Karin Mayr & Giovanni Peri & Dragos Radu, 2011. "The Selection of Migrants and Returnees: Evidence from Romania and Implications," NBER Working Papers 16912, National Bureau of Economic Research, Inc.
    15. Kenneth Smith, 2011. "Labor force participation in the Soviet and post-Soviet Baltic States," Economic Change and Restructuring, Springer, vol. 44(4), pages 335-355, November.

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    More about this item

    Keywords

    employment dynamics; transition economy; Markov chain Monte Carlo.;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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