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Participation and Schooling in a Public System of Higher Education

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Author Info
Kelchtermans, Stijn
Verboven, Frank

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Abstract

We analyze the determinants of participation (whether to study) and schooling (where and what to study) in a public system of higher education, based on a unique dataset of all eligible high school pupils in an essentially closed region (Flanders). We find that pupils perceive the available institutions and programs as close substitutes, implying an ambiguous role for travel costs: they hardly affect the participation decisions, but have a strong impact on the schooling decisions. In addition, high school background plays an important role in both the participation and schooling decisions. To illustrate how our empirical results can inform the debate on reforming public systems, we assess the effects of tuition fee increases. Uniform cost-based tuition fee increases achieve most of the welfare gains; the additional gains from fee differentiation are relatively unimportant. These welfare gains are quite large if one makes conservative assumptions on the social cost of public funds, and there is a substantial redistribution from students to outsiders.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 5690.

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Date of creation: May 2006
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Handle: RePEc:cpr:ceprdp:5690

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Related research
Keywords: higher education; participation; policy reform; schooling;

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Find related papers by JEL classification:
I2 - Health, Education, and Welfare - - Education
I23 - Health, Education, and Welfare - - Education - - - Higher Education Research Institutions

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References listed on IDEAS
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  1. Bas Jacobs & Frederick van der Ploeg, 2006. "Guide to reform of higher education: a European perspective," Economic Policy, CEPR, CES, MSH, vol. 21(47), pages 535-592, 07. [Downloadable!] (restricted)
    Other versions:
  2. Atkinson, A. B. & Stiglitz, J. E., 1976. "The design of tax structure: Direct versus indirect taxation," Journal of Public Economics, Elsevier, vol. 6(1-2), pages 55-75. [Downloadable!] (restricted)
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  6. Stephen V. Cameron & James J. Heckman, 2001. "The Dynamics of Educational Attainment for Black, Hispanic, and White Males," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 455-499, June. [Downloadable!] (restricted)
  7. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470. [Downloadable!]
  8. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March. [Downloadable!]
  9. Susan M. Dynarski, 2003. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," American Economic Review, American Economic Association, vol. 93(1), pages 279-288, March. [Downloadable!]
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  10. Murphy, Kevin M & Topel, Robert H, 1985. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(4), pages 370-79, October.
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  1. Kelchtermans, Stijn & Verboven, Frank, 2007. "Reducing Product Diversity in Higher Education," CEPR Discussion Papers 6508, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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