IDEAS home Printed from https://ideas.repec.org/p/sza/wpaper/wpapers135.html
   My bibliography  Save this paper

Quality of education and the labour market: A conceptual and literature overview

Author

Listed:
  • Eldridge Moses

    (Department of Economics, University of Stellenbosch)

Abstract

In South Africa earnings inequality between races still persists despite the convergence of educational attainment between races. There is a now a growing body of evidence which suggests that the quality of education received by South Africans differs markedly amongst and within race groups, and that schools differ substantially in their ability to impart cognitive skills. This paper reviews the international and South African literature which considers the role of education quality in improving labour market prospects. Education quality is considered from both from an input and output perspective. This paper concludes that education output quality, particularly the ability of a school system to impart cognitive skills, is a crucial determinant of labour market success.

Suggested Citation

  • Eldridge Moses, 2011. "Quality of education and the labour market: A conceptual and literature overview," Working Papers 07/2011, Stellenbosch University, Department of Economics.
  • Handle: RePEc:sza:wpaper:wpapers135
    as

    Download full text from publisher

    File URL: https://www.ekon.sun.ac.za/wpapers/2011/wp072011/wp-07-2011.pdf
    File Function: First version, 2011
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Steven Dunga & Lerato Mothibi, 2019. "Education And Earnings In South Africa: An Application Of The Mincerian Function," Proceedings of International Academic Conferences 9010584, International Institute of Social and Economic Sciences.
    2. Hazal Colak Oz & Çiçek Güven & Gonzalo Nápoles, 2023. "School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach," Journal of Computational Social Science, Springer, vol. 6(1), pages 245-287, April.

    More about this item

    Keywords

    South Africa; Education; Earnings Functions; Education Quality; Cognitive Skills; Labour Market;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sza:wpaper:wpapers135. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Melt van Schoor (email available below). General contact details of provider: https://edirc.repec.org/data/desunza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.