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Disentangling factors behind training partecipation in Italy

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  • Giuseppe Croce
  • Massimiliano Tancioni

Abstract

This paper analyses the pattern of training participation in Italy. Employing a new survey conducted on a large sample of individuals, we develop a model of bilateral training choices. In order to distinguish between workers and employers choices, we estimate a structural bivariate probit model whose identification relies on some mild assumptions on sample selection. With this approach we attempt to overcome the informative limitations of training participation probability estimates referred to reduced form models. The training participation probability depends on individual, job-specific and firm’s characteristics. Among the most relevant results, we find that females demand as much training as males and suffer from poorer chances of firm-provided training. Similarly, employees with a temporary contract are rationed even if their demand is in line with that of their permanent colleagues. Conversely, the lower participation of parttimers is explained by lower demand. A stance for more targeted training public policies is derived.

Suggested Citation

  • Giuseppe Croce & Massimiliano Tancioni, 2007. "Disentangling factors behind training partecipation in Italy," Working Papers in Public Economics 101, Department of Economics and Law, Sapienza University of Roma.
  • Handle: RePEc:sap:wpaper:wp101
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Montizaan, Raymond & Cörvers, Frank & De Grip, Andries, 2010. "The effects of pension rights and retirement age on training participation: Evidence from a natural experiment," Labour Economics, Elsevier, vol. 17(1), pages 240-247, January.
    2. Ruud Gerards & Andries de Grip & Maaike Witlox, 2014. "'Employability-miles' and worker employability awareness," Applied Economics, Taylor & Francis Journals, vol. 46(9), pages 952-965, March.
    3. Guerrazzi, Marco, 2014. "Workforce ageing and the training propensity of Italian firms: cross-sectional evidence from the INDACO survey," MPRA Paper 56826, University Library of Munich, Germany.
    4. Allen, J.P. & van der Velden, R.K.W., 2012. "Skills for the 21st century: implications for education," Research Memorandum 043, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).

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    More about this item

    Keywords

    training choices; identification; bivariate probit.;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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