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Enrollment and degree completion in higher education without admission standards

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  • Verboven, Frank
  • Declercq, Koen

Abstract

Many countries organize their higher education system with limited or no ex ante admission standards. They instead rely more heavily on an ex post selection mechanism, based on the students' performance during higher education. We analyze how a system with ex post selection affects initial enrollment and final degree completion, using a rich dataset for Belgium (region of Flanders). We develop a dynamic discrete choice model of college/university and major choice, where the outcome of the enrollment decision is uncertain. Upon observing past performance, students may decide to continue, reorient to another major, or drop out. We find that ex post student selection is very strong: less than half of the students successfully complete their course work in the first year. Unsuccessful students mainly switch from university to college majors, or from college majors to drop-out. We use the estimates of our model to evaluate the effects of alternative, ex ante admission policies. We find that a suitably designed ex ante screening system (with moderate admission thresholds) can considerably increase degree completion in higher education. A discriminatory screening system for universities only, can raise total degree completion even more, though it implies a shift from university to college degrees.

Suggested Citation

  • Verboven, Frank & Declercq, Koen, 2014. "Enrollment and degree completion in higher education without admission standards," CEPR Discussion Papers 10037, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:10037
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    2. Contini,Dalit & Ricciardi,Riccardo & Romito,Marco & Salza,Guido & Zotti,Roberto, 2020. "Improving university dropout and student careers. What room for institutional action?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202004, University of Turin.
    3. Walter Alexander Mata-López & Sergio Tobón, 2018. "Analysis of Factors Associated to the Enrollment and Demand of Computing-Related Careers," Social Sciences, MDPI, vol. 8(1), pages 1-18, December.
    4. Contini, Dalit & Salza, Guido, 2020. "Too few university graduates. Inclusiveness and effectiveness of the Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    5. Gregory Gilpin & Michael Kofoed, 2020. "Employer-Sponsored Education Assistance and Graduate Program Choice, Cost, and Finance," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(4), pages 431-458, June.
    6. Cristian Usala & Mariano Porcu & Isabella Sulis, 2023. "The high school effect on students’ mobility choices," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1259-1293, October.
    7. Olivier De Groote, 2025. "Dynamic Effort Choice in High School: Costs and Benefits of an Academic Track," Journal of Labor Economics, University of Chicago Press, vol. 43(2), pages 467-502.
    8. Lorenzo Navarini & Dieter Verhaest, 2024. "Returns to Education and Overeducation Risk: A Dynamic Model," Working Papers of Department of Economics, Leuven 745260, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    9. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2022. "The determinants of university dropout: A review of the socio-economic literature," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

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    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General

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