IDEAS home Printed from
   My bibliography  Save this paper

Job Durations with Worker and Firm Specific Effects: MCMC Estimation with Longitudinal Employer-Employee Data


  • Horny, Guillaume

    () (Bank of France)

  • Mendes, Rute

    () (University of Turin)

  • van den Berg, Gerard J.

    () (University of Bristol)


We study job durations using a multivariate hazard model allowing for worker-specific and firm-specific unobserved determinants. The latter are captured by unobserved heterogeneity terms or random effects, one at the firm level and another at the worker level. This enables us to decompose the variation in job durations into the relative contribution of the worker and the firm. We also allow the unobserved terms to be correlated. For the empirical analysis we use a Portuguese longitudinal matched employer-employee data set. The model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) estimation method. The results imply that firm characteristics explain around 30% of the variation in log job durations. In addition, we find a positive correlation between unobserved worker and firm characteristics.

Suggested Citation

  • Horny, Guillaume & Mendes, Rute & van den Berg, Gerard J., 2009. "Job Durations with Worker and Firm Specific Effects: MCMC Estimation with Longitudinal Employer-Employee Data," IZA Discussion Papers 3992, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp3992

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. 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.
    2. Mendes, Rute & van den Berg, Gerard J. & Lindeboom, Maarten, 2010. "An empirical assessment of assortative matching in the labor market," Labour Economics, Elsevier, vol. 17(6), pages 919-929, December.
    3. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460 Elsevier.
    4. Del Boca, Daniela & Sauer, Robert M., 2009. "Life cycle employment and fertility across institutional environments," European Economic Review, Elsevier, vol. 53(3), pages 274-292, April.
    5. José Vieira & Ana Cardoso & Miguel Portela, 2005. "Gender segregation and the wage gap in Portugal: an analysis at the establishment level," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 3(2), pages 145-168, August.
    6. Miguel Portela & Ana Rute Cardoso, 2005. "The provision of wage insurance by the firm: evidence from a longitudinal matched employer-employee dataset," NIPE Working Papers 17/2005, NIPE - Universidade do Minho.
    7. L. Randall Wray & Stephanie Bell, 2004. "Introduction," Chapters,in: Credit and State Theories of Money, chapter 1 Edward Elgar Publishing.
    8. 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.
    9. Dostie, Benoit, 2005. "Job Turnover and the Returns to Seniority," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 192-199, April.
    10. Farber, Henry S., 1999. "Mobility and stability: The dynamics of job change in labor markets," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 37, pages 2439-2483 Elsevier.
    11. Light, Audrey & Ureta, Manuelita, 1992. "Panel Estimates of Male and Female Job Turnover Behavior: Can Female Nonquitters Be Identified?," Journal of Labor Economics, University of Chicago Press, vol. 10(2), pages 156-181, April.
    12. 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.
    13. Philippe Robert-Demontrond & R. Ringoot, 2004. "Introduction," Post-Print halshs-00081823, HAL.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Daniel Fernández-Kranz & Marie Paul & Núria Rodríguez-Planas, 2015. "Part-Time Work, Fixed-Term Contracts, and the Returns to Experience," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 512-541, August.
    2. Ferreira, Priscila, 2009. "The determinants of promotions and firm separations," ISER Working Paper Series 2009-11, Institute for Social and Economic Research.
    3. Giuseppe Tattara & Marco Valentini, 2010. "Turnover and Excess Worker Reallocation. The Veneto Labour Market between 1982 and 1996," LABOUR, CEIS, vol. 24(4), pages 474-500, December.
    4. repec:eee:respol:v:46:y:2017:i:8:p:1519-1530 is not listed on IDEAS
    5. Paul, Marie & Fernandez-Kranz, Daniel & Rodriguez-Planas, Nuria, 2014. "The Wage Effects of Fixed-term Contract Employment Revisited: an Investigation Based on Social Security Records," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100324, Verein für Socialpolitik / German Economic Association.
    6. Raul Caruso & Ilaria Petrarca & Roberto Ricciuti, 2014. "Spatial Concentration of Military Dictatorships in Sub-Saharan Africa (1977-2007)," CESifo Working Paper Series 4802, CESifo Group Munich.
    7. Rémi Piatek & Pia Pinger, 2016. "Maintaining (Locus of) Control? Data Combination for the Identification and Inference of Factor Structure Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 734-755, June.

    More about this item


    dynamic models; frailties; Gibbs sampling; assortative matching; job transitions; matched employer-employee data;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp3992. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.