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Progress through school and the determinants of school dropout in South Africa

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  • Nicola Branson
  • Clare Hofmeyr
  • David Lam

Abstract

The release of the National Income Dynamics Study Wave 2 provides the first nationally representative longitudinal data collected in South Africa, making it possible to study transitions in and out of school, across grades and into work, in ways not previously possible. We illustrate the high levels of grade repetition evident in South African schools and show how school completion presents a significant hurdle with very few youth successfully matriculating. Exit from school does not offer any advantages as most youth find themselves idle once they have left school. Our regression analysis investigates correlates of school dropout and shows that falling behind is a key determinant of school dropout, even after controlling for school quality and socio-economic status. Those behind but attending higher quality schools are partially protected from dropping out. Some evidence that credit constraints may be related to dropout is found, especially among males.

Suggested Citation

  • Nicola Branson & Clare Hofmeyr & David Lam, 2014. "Progress through school and the determinants of school dropout in South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 31(1), pages 106-126, January.
    • Handle: RePEc:taf:deveza:v:31:y:2014:i:1:p:106-126
    DOI: 10.1080/0376835X.2013.853610
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    References listed on IDEAS

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    1. Lam, David & Ardington, Cally & Leibbrandt, Murray, 2011. "Schooling as a lottery: Racial differences in school advancement in urban South Africa," Journal of Development Economics, Elsevier, vol. 95(2), pages 121-136, July.
    2. Thomas Hertz, 2003. "Upward Bias in the Estimated Returns to Education: Evidence from South Africa," American Economic Review, American Economic Association, vol. 93(4), pages 1354-1368, September.
    3. Martin Gustafsson, 2011. "The when and how of leaving school: The policy implications of new evidence on secondary schooling in South Africa," Working Papers 09/2011, Stellenbosch University, Department of Economics.
    4. Nicola Branson & David Lam & Linda Zuze, 2012. "Education: Analysis of the NIDS Wave 1 and 2 Datasets," SALDRU Working Papers 81, Southern Africa Labour and Development Research Unit, University of Cape Town.
    5. Malcolm Keswell & Laura Poswell, 2004. "Returns To Education In South Africa: A Retrospective Sensitivity Analysis Of The Available Evidence," South African Journal of Economics, Economic Society of South Africa, vol. 72(4), pages 834-860, September.
    6. Nicola Branson & Julia Garlick & David Lam & Murray Leibbrandt, 2012. "Education and Inequality: The South African Case," SALDRU Working Papers 75, Southern Africa Labour and Development Research Unit, University of Cape Town.
    7. Vimal Ranchhod & David Lam & Murray Leibbrandt & Leticia Marteleto, 2011. "Estimating the effect of adolescent fertility on educational attainment in Cape Town using a propensity score weighted regression," SALDRU Working Papers 59, Southern Africa Labour and Development Research Unit, University of Cape Town.
    8. Nicholas Spaull, 2012. "Poverty & Privilege: Primary School Inequality in South Africa," Working Papers 13/2012, Stellenbosch University, Department of Economics.
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    More about this item

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I20 - Health, Education, and Welfare - - Education - - - General

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