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Overeducation: A Disease of the School-to-Work Transition System

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  • Caroleo, Floro Ernesto

    (University of Naples Parthenope)

  • Pastore, Francesco

    (Università della Campania Luigi Vanvitelli)

Abstract

This paper aims to survey the theoretical and empirical literature on cross-country differences in overeducation. While technological change and globalization have entailed a skill-bias in the evolution of labour demand in the Anglo-Saxon countries, instead, in other advanced economies in Western Europe the increased educational level has not been associated with a parallel raise in the share of skilled occupations, therefore generating skills mismatch. This suggests that a demand-side explanation of overeducation is justified in Western Europe, which would be also confirmed by circumstantial evidence coming from the recent literature. Nonetheless, overeducation may also turn to be positive in the long run if the expansion of the supply of skills generates a technological upgrading of the production system. Moreover, from a micro-economic point of view, recent theoretical and empirical studies tend to justify a human capital theory based interpretation of the phenomenon, whereas the disorganization of the educational system, its degree of integration with the labour market may play an important role in helping young graduates develop the work experience and the competences they need to prevent them from experiencing overeducation. Overeducation causes a penalty to individuals in terms of earnings and employment opportunities and a waste of resources to the society at large in terms of state investment into education that do not bear its yields. Both penalties are higher not only where the demand for skill is lower, but also where school-to-work transition systems fail to effectively address the aim of generating competences rather than only education for their graduates.

Suggested Citation

  • Caroleo, Floro Ernesto & Pastore, Francesco, 2015. "Overeducation: A Disease of the School-to-Work Transition System," IZA Discussion Papers 9049, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp9049
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    2. Giuseppe Lucio Gaeta & Giuseppe Lubrano Lavadera & Francesco Pastore, 2016. "Much ado about nothing? The wage penalty of holding a Ph.D. degree but not a Ph.D. job position," Discussion Papers 7_2016, CRISEI, University of Naples "Parthenope", Italy.
    3. Tilo Li & Andy Chan & Eugene Li, 2018. "A pilot study of over-education in Hong Kong," International Journal of Teaching and Education, International Institute of Social and Economic Sciences, vol. 6(1), pages 1-20, April.
    4. Roxana Hatos, 2021. "Graduates On Labour Market In Romania. Precarity Or Resilience?," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 6(2), pages 21-28, September.
    5. Gaeta, Giuseppe Lucio & Lubrano Lavadera, Giuseppe & Pastore, Francesco, 2016. "Much Ado About Nothing? The Wage Effect of Holding a Ph.D. Degree But Not a Ph.D. Job Position," IZA Discussion Papers 10051, Institute of Labor Economics (IZA).
    6. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
    7. Roberto Roson & Emanuela Ghignoni, 2023. "A Numerical Simulation of Educational Mismatch in the Italian Labor Market," Working Papers in Public Economics 241, University of Rome La Sapienza, Department of Economics and Law.
    8. Floro Ernesto Caroleo & Elvira Ciociano & Sergio Destefanis, 2017. "Youth Labour-Market Performance, Institutions and Vet Systems: A Cross-Country Analysis," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(1), pages 39-69, March.

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    More about this item

    Keywords

    school-to-work transition; university graduates; AlmaLaurea; overeducation; overskilling; earnings; (ordered) probit; sample selection bias; Heckit; Italy;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I2 - Health, Education, and Welfare - - Education
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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