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A finite mixture latent trajectory model for hirings and separations in the labor market

Author

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  • Bacci, Silvia
  • Bartolucci, Francesco
  • Pigini, Claudia
  • Signorelli, Marcello

Abstract

We propose a finite mixture latent trajectory model to study the behavior of firms in terms of open-ended employment contracts that are activated and terminated during a certain period. The model is based on the assumption that the population of firms is composed by unobservable clusters (or latent classes) with a homogeneous time trend in the number of hirings and separations. Our proposal also accounts for the presence of informative drop-out due to the exit of a firm from the market. Parameter estimation is based on the maximum likelihood method, which is efficiently performed through an EM algorithm. The model is applied to data coming from the Compulsory Communication dataset of the local labor office of the province of Perugia (Italy) for the period 2009-2012. The application reveals the presence of six latent classes of firms.

Suggested Citation

  • Bacci, Silvia & Bartolucci, Francesco & Pigini, Claudia & Signorelli, Marcello, 2014. "A finite mixture latent trajectory model for hirings and separations in the labor market," MPRA Paper 59730, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:59730
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    References listed on IDEAS

    as
    1. Hijzen, Alexander & Mondauto, Leopoldo & Scarpetta, Stefano, 2013. "The Perverse Effects of Job-Security Provisions on Job Security in Italy: Results from a Regression Discontinuity Design," IZA Discussion Papers 7594, Institute of Labor Economics (IZA).
    2. Schivardi, Fabiano & Torrini, Roberto, 2008. "Identifying the effects of firing restrictions through size-contingent differences in regulation," Labour Economics, Elsevier, vol. 15(3), pages 482-511, June.
    3. Bengt Muthén & Kerby Shedden, 1999. "Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm," Biometrics, The International Biometric Society, vol. 55(2), pages 463-469, June.
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    More about this item

    Keywords

    Finite mixture models; Latent trajectory model; Compulsory communications; hirings and separations;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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