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

Alexandru Voicu

No 438, IZA Discussion Papers from Institute of Labor Economics (IZA)

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.

Keywords: Markov chain Monte Carlo; transition economy; Employment dynamics (search for similar items in EconPapers)
JEL-codes: C15 C35 J23 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2002-02
New Economics Papers: this item is included in nep-ecm and nep-lab
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Citations: View citations in EconPapers (7)

Published - published in: Journal of Comparative Economics, 2005, 33 (3), 604-639

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Related works:
Journal Article: Employment dynamics in the Romanian labor market. A Markov chain Monte Carlo approach (2005)
Working Paper: Employment Dynamics in the Romanian Labor Market. A Markov Chain Monte Carlo Approach (2002)
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