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The economics of university dropouts and delayed graduation: a survey

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  • Aina, Carmen
  • Baici, Eliana
  • Casalone, Giorgia
  • Pastore, Francesco

Abstract

This survey organizes and discusses the theoretical and empirical literature on the determinants of university student achievements. According to the theoretical framework, the decision to invest in tertiary education is a sequential process made under gradually decreasing levels of uncertainty on education costs and future returns. Students, applying a learning by doing approach, update their information set each academic year and revise benefits and costs associated to tertiary education. Accordingly, they decide whether to continue university studies in order to get a degree or to withdraw. This university decisional process is discussed by clustering the determinants of university outcomes into four main categories - students’ characteristics, abilities and behavior; parental background and family networks; characteristics of the tertiary education system and its institutions; labor market performance - which are drawn from the empirical evidence. The policy advice resulting from the encompassing analysis is to provide an all-inclusive orientation activity for students, before they enroll at university. A complete understanding of the potential costs and benefits of this human capital investment can in fact reduce the risk of early withdrawal or delayed graduation.

Suggested Citation

  • Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2018. "The economics of university dropouts and delayed graduation: a survey," GLO Discussion Paper Series 189, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:189
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    Cited by:

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    2. Adele H. Marshall & Mariangela Zenga & Aglaia Kalamatianou, 2020. "Academic Students’ Progress Indicators and Gender Gaps Based on Survival Analysis and Data Mining Frameworks," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 1097-1128, October.
    3. Rémi Le Gall, 2019. "Négocier les règles d'évaluation pour développer l'accompagnement à la réussite des étudiants," Working Papers hal-02140207, HAL.
    4. Pedro Luis Silva & Carla Sá & Ricardo Biscaia & Pedro N. Teixeira, 2022. "High school and exam scores: Does their predictive validity for academic performance vary with programme selectivity?," NIPE Working Papers 4/2022, NIPE - Universidade do Minho.
    5. Aina, Carmen & Casalone, Giorgia, 2020. "Early labor market outcomes of university graduates: Does time to degree matter?," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    6. Heigle, Julia & Pfeiffer, Friedhelm, 2020. "Langfristige Wirkungen eines nicht abgeschlossenen Studiums auf individuelle Arbeitsmarktergebnisse und die allgemeine Lebenszufriedenheit," ZEW Discussion Papers 20-004, ZEW - Leibniz Centre for European Economic Research.
    7. Dirk Witteveen & Paul Attewell, 2021. "Delayed Time-to-Degree and Post-college Earnings," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(2), pages 230-257, March.
    8. Etienne Dagorn & Léonard Moulin, 2023. "Dropping Out of University in Response to the COVID-19 Pandemic," Working Papers 276, French Institute for Demographic Studies.
    9. Delogu, Marco & Lagravinese, Raffaele & Paolini, Dimitri & Resce, Giuliano, 2024. "Predicting dropout from higher education: Evidence from Italy," Economic Modelling, Elsevier, vol. 130(C).
    10. Fouarge, Didier & Heß, Pascal, 2023. "Preference-choice mismatch and university dropout," Labour Economics, Elsevier, vol. 83(C).
    11. Heigle, Julia & Pfeiffer, Friedhelm, 2019. "An analysis of selected labor market outcomes of college dropouts in Germany: A machine learning estimation approach. Research report," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 222378.

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    More about this item

    Keywords

    university dropout; time-to-degree; tertiary education; human capital theory;
    All these keywords.

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • 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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