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Student loans: Liquidity constraint and higher education in South Africa

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  • Marc Gurgand

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique, J-PAL Europe - Abdul Latif Jameel Poverty Action Lab - Europe, PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Adrien Lorenceau

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Thomas Mélonio

    (AFD - Agence française de développement)

Abstract

Empirical evidence that access to higher education is constrained by credit availability is limited and usually indirect. This paper provides direct evidence by comparing university enrollment rates of South African potential students, depending on whether they get a loan or not to cover their registration fees, in a context where such fees are high. We use matched individual data from both a credit institution (Eduloan) and the Department of Education. Based on a regression discontinuity design using the fact that loans are granted according to a credit score threshold, we can estimate the causal impact of loan obtainment. We find that the credit constraint is substantial, as it decreases the enrollment rate into higher education by more than 20 percentage points in a population of student loan applicants.

Suggested Citation

  • Marc Gurgand & Adrien Lorenceau & Thomas Mélonio, 2011. "Student loans: Liquidity constraint and higher education in South Africa," PSE Working Papers halshs-00590898, HAL.
    • Handle: RePEc:hal:psewpa:halshs-00590898
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00590898
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    References listed on IDEAS

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    Keywords

    Education; university; credit constraint; regression discontinuity;
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