IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/59730.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/59730/1/MPRA_paper_59730.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Federico Cingano & Marco Leonardi & Julián Messina & Giovanni Pica, 2016. "Employment Protection Legislation, Capital Investment and Access to Credit: Evidence from Italy," Economic Journal, Royal Economic Society, vol. 126(595), pages 1798-1822, September.
    2. Boeri, Tito & Garibaldi, Pietro, 2019. "A tale of comprehensive labor market reforms: Evidence from the Italian jobs act," Labour Economics, Elsevier, vol. 59(C), pages 33-48.
    3. Hijzen, Alexander & Mondauto, Leopoldo & Scarpetta, Stefano, 2017. "The impact of employment protection on temporary employment: Evidence from a regression discontinuity design," Labour Economics, Elsevier, vol. 46(C), pages 64-76.
    4. Simone Lenzu & Francesco Manaresi, 2019. "Sources and implications of resource misallocation: new evidence from firm-level marginal products and user costs," Questioni di Economia e Finanza (Occasional Papers) 485, Bank of Italy, Economic Research and International Relations Area.
    5. Bolli, Thomas & Kemper, Johanna, 2015. "Evaluating the Impact of Employment Protection on Firm-Provided Training in an RDD Framework," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112895, Verein für Socialpolitik / German Economic Association.
    6. Mário Centeno & Álvaro A. Novo, 2013. "Segmenting wages," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    7. Lenzu, Simone & Manaresi, Francesco, 2018. "Do Marginal Products Differ from User Costs? Micro-Level Evidence from Italian Firms," Working Papers 276, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    8. Bofinger, Peter & Buch, Claudia M. & Feld, Lars P. & Schmidt, Christoph M. & Wieland, Volker, 2013. "Gegen eine rückwärtsgewandte Wirtschaftspolitik. Jahresgutachten 2013/14 [Against a backward-looking economic policy. Annual Report 2013/14]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201314, September.
    9. Marco Guerra & Francesca Bassi & José G. Dias, 2020. "A Multiple-Indicator Latent Growth Mixture Model to Track Courses with Low-Quality Teaching," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 361-381, January.
    10. Francesco Trebbi & Miao Ben Zhang, 2022. "The Cost of Regulatory Compliance in the United States," NBER Working Papers 30691, National Bureau of Economic Research, Inc.
    11. Poschke, Markus, 2013. "The Decision to Become an Entrepreneur and the Firm Size Distribution: A Unifying Framework for Policy Analysis," IZA Discussion Papers 7757, Institute of Labor Economics (IZA).
    12. Stefano Scarpetta, 2014. "Employment protection," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-12, May.
    13. Cristina Fernández & Roberta García & Paloma Lopez-Garcia & Benedicta Marzinotto & Roberta Serafini & Juuso Vanhala & Ladislav Wintr, 2017. "Firm growth in Europe: An overview based on the COMPNET labour module," BCL working papers 107, Central Bank of Luxembourg.
    14. Michael Prendergast & David Huang & Yih-Ing Hser, 2008. "Patterns of Crime and Drug Use Trajectories in Relation to Treatment Initiation and 5-Year Outcomes," Evaluation Review, , vol. 32(1), pages 59-82, February.
    15. Fabiano Schivardi & Eliana Viviano, 2007. "Entry barriers in Italian retail trade," Temi di discussione (Economic working papers) 616, Bank of Italy, Economic Research and International Relations Area.
    16. Silvia Bacci & Francesco Bartolucci & Giulia Bettin & Claudia Pigini, 2017. "A mixture growth model for migrants' remittances: An application to the German Socio-Economic Panel," Mo.Fi.R. Working Papers 145, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    17. Rita K. Almeida & Z. Bilgen Susanlı, 2012. "Firing Regulations and Firm Size in the Developing World: Evidence from Differential Enforcement," Review of Development Economics, Wiley Blackwell, vol. 16(4), pages 540-558, November.
    18. Marco Leonardi & Giovanni Pica, 2013. "Who Pays for it? The Heterogeneous Wage Effects of Employment Protection Legislation," Economic Journal, Royal Economic Society, vol. 123(12), pages 1236-1278, December.
    19. Cahuc, Pierre & Malherbet, Franck & Prat, Julien, 2019. "The Detrimental Effect of Job Protection on Employment: Evidence from France," IZA Discussion Papers 12384, Institute of Labor Economics (IZA).
    20. Peter Gal & Alexander Hijzen & Zoltan Wolf, 2012. "The Role of Institutions and Firm Heterogeneity for Labour Market Adjustment: Cross-Country Firm-Level Evidence," OECD Social, Employment and Migration Working Papers 134, OECD Publishing.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:pra:mprapa:59730. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.