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Job mobility in Portugal: a Bayesian study with matched worker-firm data

Author

Listed:
  • Guillaume Horny
  • Rute Mendes
  • Gerard J. Van den Berg

Abstract

We study job mobility using a multivariate hazard model in discrete time. It involves two correlated random effects, one at the firm level and another at the worker level. Bayesian estimates are based on a Portuguese matched employer-employee dataset. Our results confirm the importance of unobserved heterogeneity at the individual level and at the firm level. Furthermore, the model performs better when allowing for an assortative matching mecanism in terms of employers’ and employees’ unobservables.

Suggested Citation

  • Guillaume Horny & Rute Mendes & Gerard J. Van den Berg, 2006. "Job mobility in Portugal: a Bayesian study with matched worker-firm data," Working Papers of BETA 2006-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2006-32
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    More about this item

    Keywords

    Job transitions; assortative matching; Gibbs sampling; frailties; dynamic models; matched employer-employee data.;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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