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How Income Contingent Loans could affect Return to Higher Education: a microsimulation of the French Case

Author

Listed:
  • Pierre Courtioux

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

The paper assesses the implementation of income contingent loan schemes for higher education (ICL) in an institutional context characterized by two main features: (i) a former tuition free system and (ii) a great heterogeneity in tertiary education's diplomas quality and cost, which impacts the individual career paths. In this particular case, ICL implementation leads to a trade-off between increasing ‘career' equity in terms of collective public spending versus individual gains and widening low education traps by reducing the economic incentives to pursue a tertiary education curriculum. Based on a dynamic microsimulation model we propose an ex ante evaluation of the enlargement of low education traps induced by the implementation of different ICL designs in France. We conclude that the risk of low education traps' enlargement remains very small.

Suggested Citation

  • Pierre Courtioux, 2008. "How Income Contingent Loans could affect Return to Higher Education: a microsimulation of the French Case," Working Papers hal-00369986, HAL.
    • Handle: RePEc:hal:wpaper:hal-00369986
    Note: View the original document on HAL open archive server: https://hal.science/hal-00369986
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    References listed on IDEAS

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    1. Bas Jacobs, 2002. "An investigation of education finance reform; graduate taxes and income contingent loans in the Netherlands," CPB Discussion Paper 9.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Chapman, Bruce, 1997. "Conceptual Issues and the Australian Experience with Income Contingent Charges for Higher Education," Economic Journal, Royal Economic Society, vol. 107(442), pages 738-751, May.
    3. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    4. V. Vandenberghe & O. Debande, 2007. "Deferred and Income-contingent Tuition Fees: An Empirical Assessment using Belgian, German and UK Data," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 421-440.
    5. Bas Jacobs, 2002. "An investigation of education finance reform; graduate taxes and income contingent loans in the Netherlands," CPB Discussion Paper 9, CPB Netherlands Bureau for Economic Policy Analysis.
    6. N/A, 2005. "The World Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 191(1), pages 8-30, January.
    7. Bruce Chapman & Chris Ryan, 2002. "Income-Contingent Financing of Student Charges for Higher Education: Assessing the Australian Innovation," CEPR Discussion Papers 449, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    8. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062, October.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Pierre Courtioux & Stéphane Gregoir & Dede Houeto, 2009. "The Simulation of the Educational Output over the Life Course: The GAMEO Model," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00391393, HAL.
    2. Courtioux, Pierre & Gregoir, Stéphane & Houeto, Dede, 2014. "Modelling the distribution of returns on higher education: A microsimulation approach," Economic Modelling, Elsevier, vol. 38(C), pages 328-340.

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    More about this item

    Keywords

    Higher education; microsimulation; ICL;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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