Job mobility in Portugal: a Bayesian study with matched worker-firm data
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.
|Date of creation:||2006|
|Date of revision:|
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- Bernhard Boockmann. & Dragana Djurdjevic. & Guillaume Horny. & François Laisney., 2009.
"Bayesian estimation of Cox models with non-nested random effects: an application to the ratification of ILO conventions by developing countries,"
249, Banque de France.
- Guillaume Horny & Dragana Djurdjevic & Bernhard Boockmann & François Laisney, 2008. "Bayesian Estimation of Cox Models with Non-nested Random Effects: an Application to the Ratification Of ILO Conventions by Developing Countries," Annals of Economics and Statistics, GENES, issue 89, pages 193-214.
- Horney, Guillaume & Boockmann, Bernhard & Djurdjevic, Dragana & Laisney, François, 2005. "Bayesian estimation of Cox model with non-nested random effects: an application to the ratification of ILO conventions by developing countries," ZEW Discussion Papers 05-23, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- William R. Johnson, 1978. "A Theory of Job Shopping," The Quarterly Journal of Economics, Oxford University Press, vol. 92(2), pages 261-277.
- Leonardo Grilli, 2005. "The random-effects proportional hazards model with grouped survival data: a comparison between the grouped continuous and continuation ratio versions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(1), pages 83-94.
- John M. Abowd & Francis Kramarz & Sébastien Roux, 2006. "Wages, Mobility and Firm Performance: Advantages and Insights from Using Matched Worker-Firm Data," Economic Journal, Royal Economic Society, vol. 116(512), pages F245-F285, 06.
- Samuel Manda & Renate Meyer, 2005. "Age at first marriage in Malawi: a Bayesian multilevel analysis using a discrete time-to-event model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 439-455.
- L. Biggeri & M. Bini & L. Grilli, 2001. "The transition from university to work: a multilevel approach to the analysis of the time to obtain the first job," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 293-305.
- D. Firth & C. Payne & J. Payne, 1999. "Efficacy of programmes for the unemployed: discrete time modelling of duration data from a matched-comparison study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 111-120.
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