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Does apprenticeship improve job opportunities? A regression discontinuity approach

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  • Matteo Picchio

    (Marche Polytechnic University
    Ghent University
    IZA)

  • Stefano Staffolani

    (Marche Polytechnic University)

Abstract

In Italy the main difference between apprentices and other types of temporary workers is that apprentices must receive firm-provided training. The firm incentive in hiring apprentices consists in paying lower wages and labour taxes. Using an Italian administrative dataset containing information on the jobs started between January 2009 and June 2012, we estimate the effect of apprenticeship on the hazard function to a permanent job. Identification is based on a regression discontinuity design. We find that, for 29-year-old workers, apprenticeships are “long entrance halls” towards permanent contracts, especially within the firm where the apprenticeship is performed.

Suggested Citation

  • Matteo Picchio & Stefano Staffolani, 2019. "Does apprenticeship improve job opportunities? A regression discontinuity approach," Empirical Economics, Springer, vol. 56(1), pages 23-60, January.
  • Handle: RePEc:spr:empeco:v:56:y:2019:i:1:d:10.1007_s00181-017-1350-2
    DOI: 10.1007/s00181-017-1350-2
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    Cited by:

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    2. Filomena, Mattia & Giorgetti, Isabella & Picchio, Matteo, 2022. "Off to a Bad Start: Youth Nonemployment and Labor Market Outcomes Later in Life," IZA Discussion Papers 15366, Institute of Labor Economics (IZA).
    3. Andrea Albanese & Lorenzo Cappellari & Marco Leonardi, 2021. "The effects of youth labour market reforms: evidence from Italian apprenticeships," Oxford Economic Papers, Oxford University Press, vol. 73(1), pages 98-121.
    4. Maria Giovanna Bosco & Elisa Valeriani, 2018. "The Road to Permanent Work in Italy: “It’s Getting Dark, Too Dark to See”," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 4(3), pages 385-419, November.
    5. Corseuil, Carlos Henrique & Foguel, Miguel N. & Gonzaga, Gustavo, 2019. "Apprenticeship as a stepping stone to better jobs: Evidence from Brazilian matched employer-employee data," Labour Economics, Elsevier, vol. 57(C), pages 177-194.
    6. Matteo Picchio & Mattia Filomena, 2021. "Are Temporary Jobs Stepping Stones Or Dead Ends? A Meta-Analytical Review Of The Literature," Working Papers 455, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Massimiliano Bratti & Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo, 2022. "Vocational training for unemployed youth in Latvia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(2), pages 677-717, April.
    8. Marco Bee & Julien Hambuckers, 2020. "Modeling multivariate operational losses via copula-based distributions with g-and-h marginals," DEM Working Papers 2020/3, Department of Economics and Management.
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    10. Gnocato, Nicolò & Modena, Francesca & Tomasi, Chiara, 2020. "Labor market reforms and allocative efficiency in Italy," Labour Economics, Elsevier, vol. 67(C).
    11. Begoña Cueto Iglesias & Fermín López Rodríguez, 2019. "The Apprenticeship Contract: An Evaluation," Hacienda Pública Española, IEF, vol. 231(4), pages 15-39, December.
    12. Quaresima Federico & Santolini Raffaella & Fiorillo Fabio, 2020. "Political affiliation in post-parliamentary careers in Italian public enterprises," German Economic Review, De Gruyter, vol. 21(1), pages 35-64, April.
    13. Chiara Gigliarano & Francesco Chelli, 2016. "Measuring inter-temporal intragenerational mobility: an application to the Italian labour market," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 89-102, January.
    14. Corinna Ghirelli & Enkelejda Havari & Giulia Santangelo & Marta Scettri, 2019. "Does on-the-job training help graduates find a job? Evidence from an Italian region," International Journal of Manpower, Emerald Group Publishing, vol. 40(3), pages 500-524, June.
    15. Chiara Gigliarano & Francesco Maria Chelli, 2014. "A nonparametric Gini concentration test for labour market analysis," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 68(3-4), pages 135-142, July-Dece.
    16. Riphahn, Regina T. & Zibrowius, Michael, 2015. "Apprenticeship, Vocational Training and Early Labor Market Outcomes in East and West Germany," IZA Discussion Papers 8901, Institute of Labor Economics (IZA).
    17. Maria Giovanna Bosco & Elisa Valeriani, 2017. "From temporary to permanent jobs: a stepping stone analysis for Emilia Romagna," EcoMod2017 10474, EcoMod.
    18. d'Agostino, Giorgio & Pieroni, Luca & Scarlato, Margherita, 2015. "Revisiting the Effects of Enhanced Flexibility on the Italian Labour Market," MPRA Paper 63239, University Library of Munich, Germany.
    19. Federico Quaresima & Fabio Fiorillo & Raffaella Santolini, 2018. "Does Political Affiliation Matter On Post-Parliamentary Careers In The Boards Of Public Enterprises?," Working Papers 429, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    20. d'Agostino, Giorgio & Pieroni, Luca & Scarlato, Margherita, 2018. "Evaluating the effects of labour market reforms on job flows: The Italian case," Economic Modelling, Elsevier, vol. 68(C), pages 178-189.
    21. Dughera, Stefano & Quatraro,Francesco & Ricci,Andrea & Vittori,Claudia, 2021. "For the rest of our lives: Flexibility and innovation in Italy," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 202102, University of Turin.
    22. José Luis Viveros Añorve, 2015. "Towards a more effective poverty reduction in Mexico: a general equilibrium assessment," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(1), pages 75-107, March.

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    More about this item

    Keywords

    Apprenticeship; Temporary work; Permanent work; Regression discontinuity design; Hazard function;
    All these keywords.

    JEL classification:

    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts

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