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The Effects of Youth Labor Market Reforms: Evidence from Italian Apprenticeships

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  • ALBANESE Andrea
  • CAPPELLARI Lorenzo
  • LEONARDI Marco

Abstract

This paper estimates the causal effects of the 2003 reform of the Italian apprenticeship contract which aimed at introducing the “dual system” in Italy by allowing on-the-job training. The reform also increased the age eligibility of the apprenticeship contract and introduced a minimum floor to apprentices’ wages. Using administrative data and balancing techniques we find that five years after hiring, the new contract improves the chances of moving to a permanent job in the same firm, yet this happens mostly in large firms. There are also sizeable long-run wage effects of the reform, well beyond the legal duration of apprenticeships, compatible with increased human capital accumulation probably due to the training provisions of the reform.

Suggested Citation

  • ALBANESE Andrea & CAPPELLARI Lorenzo & LEONARDI Marco, 2017. "The Effects of Youth Labor Market Reforms: Evidence from Italian Apprenticeships," LISER Working Paper Series 2017-13, Luxembourg Institute of Socio-Economic Research (LISER).
  • Handle: RePEc:irs:cepswp:2017-13
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    1. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    2. McIntosh, Steven, 2004. "The impact of vocational qualifications on the labour market outcomes of low-achieving school-leavers," LSE Research Online Documents on Economics 19982, London School of Economics and Political Science, LSE Library.
    3. Lorenzo Cappellari & Carlo Dell’Aringa & Marco Leonardi, 2012. "Temporary Employment, Job Flows and Productivity: A Tale of Two Reforms," Economic Journal, Royal Economic Society, vol. 122(562), pages 188-215, August.
    4. Matteo Picchio & Stefano Staffolani, 2019. "Does apprenticeship improve job opportunities? A regression discontinuity approach," Empirical Economics, Springer, vol. 56(1), pages 23-60, January.
    5. Ludger Wößmann, 2008. "Efficiency and equity of European education and training policies," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(2), pages 199-230, April.
    6. repec:ces:ifodic:v:10:y:2012:i:1:p:18176942 is not listed on IDEAS
    7. Liliane Bonnal & Sylvie Mendes & Catherine Sofer, 2002. "School-to-work transition: apprenticeship versus vocational school in France," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00367135, HAL.
    8. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
    9. Josef Fersterer & Jörn‐Steffen Pischke & Rudolf Winter‐Ebmer, 2008. "Returns to Apprenticeship Training in Austria: Evidence from Failed Firms," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(4), pages 733-753, December.
    10. Jan Erik Askilden & Øivind Anti Nilsen, 2005. "Apprentices And Young Workers: A Study Of The Norwegian Youth Labour Market," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(1), pages 1-17, February.
    11. Fabio Berton & Francesco Devicienti & Lia Pacelli, 2011. "Are temporary jobs a port of entry into permanent employment?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(8), pages 879-899, November.
    12. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    13. Jörn-Steffen Pischke & Till von Wachter, 2008. "Zero Returns to Compulsory Schooling in Germany: Evidence and Interpretation," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 592-598, August.
    14. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    15. Tattara, Giuseppe & Valentini, Marco, 2009. "Can employment subsidies and greater labour market flexibility increase job opportunities for youth? : revisiting the Italian on-the-job training programme," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 42(3), pages 197-212.
    16. Wang‐Sheng Lee & Michael B. Coelli, 2010. "The Labour Market Effects of Vocational Education and Training in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(4), pages 389-408, December.
    17. Dirk Krueger & Krishna B. Kumar, 2004. "Skill-Specific rather than General Education: A Reason for US--Europe Growth Differences?," Journal of Economic Growth, Springer, vol. 9(2), pages 167-207, June.
    18. Kosuke Imai & Marc Ratkovic, 2014. "Covariate balancing propensity score," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 243-263, January.
    19. Glenda Quintini & Sébastien Martin, 2006. "Starting Well or Losing their Way?: The Position of Youth in the Labour Market in OECD Countries," OECD Social, Employment and Migration Working Papers 39, OECD Publishing.
    20. Rainer Winkelmann, 1996. "Employment Prospects and Skill Acquisition of Apprenticeship-Trained Workers in Germany," ILR Review, Cornell University, ILR School, vol. 49(4), pages 658-672, July.
    21. Christian Dustmann & Uta Schönberg, 2009. "Training and Union Wages," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 363-376, May.
    22. Eichhorst, Werner & Rodríguez-Planas, Núria & Schmidl, Ricarda & Zimmermann, Klaus F., 2012. "A Roadmap to Vocational Education and Training Systems Around the World," IZA Discussion Papers 7110, Institute of Labor Economics (IZA).
    23. 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.
    24. Lorenzo Cappellari & Carlo Dell’Aringa & Marco Leonardi, 2012. "Temporary Employment in Italy," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 10(1), pages 55-62, 04.
    25. David Soskice, 1994. "Reconciling Markets and Institutions: The German Apprenticeship System," NBER Chapters, in: Training and the Private Sector: International Comparisons, pages 25-60, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Apprenticeship; Permanent Work; Youth Employment; Covariate Balancing Propensity Score;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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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