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The duration of the school-to-work transition in Italy and in other European countries: a flexible baseline hazard interpretation

Author

Listed:
  • Francesco Pastore
  • Claudio Quintano
  • Antonella Rocca

Abstract

Purpose - The Italian school-to-work transition (STWT) is astonishingly slow and long in comparison to the other EU countries. We analyze its determinants comparing the Italian case with Austria, Poland and the UK. Design/methodology/approach - The analysis is based on a Cox survival model with proportional hazard. The smoothed hazard estimates allow us to identify the nonlinear path of the hazard function. Findings - The authors reckon that the actual length of the transition to a stable job is around 30 months in Italy. Conversely, it is less than one year in the other countries. Women are particularly penalized, despite being on average more educated than men. Tertiary or vocational education at high secondary school strongly increases the hazard rate to a regular job. The smoothed hazard estimates suggest positive duration dependence at the beginning of the transition and slightly negative thereafter. Practical implications - Stimulating economic growth and investing in education and training are important pre-conditions for shortening the transition. Originality/value - Despite the duration of the STWT is one of the most important indicators to measure the efficiency of the STWT, it is not easy to measure. The authors build on their previous research work on this topic, but relaxing the assumption of a monotonic hazard rate and using the flexible baseline hazard approach to test for the existence of nonlinear duration dependence. Furthermore, they extend the analysis by including student-workers who attended a vocational path of education, in order to detect its effectiveness in allowing young people finding a job sooner.

Suggested Citation

  • Francesco Pastore & Claudio Quintano & Antonella Rocca, 2022. "The duration of the school-to-work transition in Italy and in other European countries: a flexible baseline hazard interpretation," International Journal of Manpower, Emerald Group Publishing Limited, vol. 43(7), pages 1579-1600, January.
  • Handle: RePEc:eme:ijmpps:ijm-03-2021-0135
    DOI: 10.1108/IJM-03-2021-0135
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    Cited by:

    1. K. Ssebulime & E. Bbaale & M.I. Okumu, 2023. "Job creation fragility and transition to work in Uganda: Evidence from parametric and non-parametric duration models," Journal of Economic Policy and Management Issues, JEPMI, vol. 2(2), pages 1-18.
    2. Fabrizi, Elena & Rocca, Antonella, 2024. "“NEET status duration and socio-economic background”," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    3. Berigel, Muhammet & Boztaş, Gizem Dilan & Rocca, Antonella & Neagu, Gabriela, 2023. "A model for predicting determinants factors for NEETs rates: Support for the decision-makers," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    4. Debdeep Chattopadhyay, 2024. "Does a Longer Work Horizon Affect Offsprings' Labour Market Outcomes?," Review of Economics of the Household, Springer, vol. 22(3), pages 1147-1183, September.

    More about this item

    Keywords

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    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I2 - Health, Education, and Welfare - - Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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