IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/2021-45.html
   My bibliography  Save this paper

Overcoming a legacy of racial discrimination: Competing policy goals in South African academia

Author

Listed:
  • Robin Cowan
  • Moritz Müller
  • Alan Kirman
  • Helena Barnard

Abstract

Because discrimination is systemic, efforts to counter it, and thus policy interventions, must also be systemic. The South African case is particularly instructive because it is so extreme: Apartheid deliberately excluded the vast majority of the population, black South Africans, from fully participating in society, but post-Apartheid efforts to achieve transformation have had limited success. This paper hones in on a key enabler of transformation, the university system. A successful transformation will be characterized by a larger academic system to accommodate the many previously disadvantaged students, by growing scientific quality and by more black academics so that the proportion of black to white academics resembles that of South Africans generally. This will require more black South Africans to do PhDs, to select academic careers, and to be selected into the top South African universities. Policy interventions can be developed for each of these many constituent elements, but it is not known whether policies will be complementary or contradictory. To determine the outcomes of different options, this paper uses computer simulations, calibrated with evidence from South Africa since the end of Apartheid. The simulations reveal very few direct trade-offs, although different combinations result in different benefits. By highlighting the (larger and smaller) gains and costs of different combinations of policies, the paper can therefore support informed policy-making about a highly complex issue.

Suggested Citation

  • Robin Cowan & Moritz Müller & Alan Kirman & Helena Barnard, 2021. "Overcoming a legacy of racial discrimination: Competing policy goals in South African academia," Working Papers of BETA 2021-45, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2021-45
    as

    Download full text from publisher

    File URL: http://beta.u-strasbg.fr/WP/2021/2021-45.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Isabel Fernandez-Mateo & Roberto M. Fernandez, 2016. "Bending the Pipeline? Executive Search and Gender Inequality in Hiring for Top Management Jobs," Management Science, INFORMS, vol. 62(12), pages 3636-3655, December.
    2. Jessica S. Howell, 2010. "Assessing the Impact of Eliminating Affirmative Action in Higher Education," Journal of Labor Economics, University of Chicago Press, vol. 28(1), pages 113-166, January.
    3. Robin Cowan & Giulia Rossello, 2018. "Emergent structures in faculty hiring networks, and the effects of mobility on academic performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 527-562, October.
    4. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matti Keloharju & Samuli Knüpfer & Joacim Tåg, 2022. "What prevents women from reaching the top?," Financial Management, Financial Management Association International, vol. 51(3), pages 711-738, September.
    2. Mallory Avery & Andreas Leibbrandt & Joseph Vecci, 2023. "Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech," Monash Economics Working Papers 2023-09, Monash University, Department of Economics.
    3. Paola Profeta & Giacomo Pasini & Valeria Maggian & Ludovica Spinola, 2023. "The gender composition of supervisor-worker dyads: Career blocks and gender pay gap," French Stata Users' Group Meetings 2023 17, Stata Users Group.
    4. Chowdhury, Shyamal & Ooi, Evarn & Slonim, Robert, 2017. "Racial discrimination and white first name adoption: a field experiment in the Australian labour market," Working Papers 2017-15, University of Sydney, School of Economics.
    5. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    6. Anja‐Kristin Abendroth & Yvonne Lott & Lena Hipp & Dana Müller & Armin Sauermann & Tanja Carstensen, 2022. "Has the COVID‐19 pandemic changed gender‐ and parental‐status‐specific differences in working from home? Panel evidence from Germany," Gender, Work and Organization, Wiley Blackwell, vol. 29(6), pages 1991-2011, November.
    7. Dessein, Wouter & Frankel, Alexander & Kartik, Navin, 2023. "Test-Optional Admissions," CEPR Discussion Papers 18090, C.E.P.R. Discussion Papers.
    8. Barthel, Jens, 2008. "Can age discrimination be justified with a lower productivity of older workers?," MPRA Paper 14682, University Library of Munich, Germany.
    9. Anthony Edo & Nicolas Jacquemet & Constantine Yannelis, 2019. "Language skills and homophilous hiring discrimination: Evidence from gender and racially differentiated applications," Review of Economics of the Household, Springer, vol. 17(1), pages 349-376, March.
    10. repec:mse:cesdoc:09059r is not listed on IDEAS
    11. Kevin Lang & Ariella Kahn-Lang Spitzer, 2020. "Race Discrimination: An Economic Perspective," Journal of Economic Perspectives, American Economic Association, vol. 34(2), pages 68-89, Spring.
    12. Ye Zhang, 2020. "Discrimination in the Venture Capital Industry: Evidence from Field Experiments," Papers 2010.16084, arXiv.org, revised Aug 2022.
    13. Klumpp, Tilman & Su, Xuejuan, 2013. "Second-order statistical discrimination," Journal of Public Economics, Elsevier, vol. 97(C), pages 108-116.
    14. Pierre Fleckinger & Matthieu Glachant & Gabrielle Moineville, 2017. "Incentives for Quality in Friendly and Hostile Informational Environments," American Economic Journal: Microeconomics, American Economic Association, vol. 9(1), pages 242-274, February.
    15. Lia Pacelli & Silvia Pasqua & Claudia Villosio, 2007. "What Does the Stork Bring to Women’s Working Career?," LABORatorio R. Revelli Working Papers Series 58, LABORatorio R. Revelli, Centre for Employment Studies.
    16. Bramoullé, Yann & Goyal, Sanjeev, 2016. "Favoritism," Journal of Development Economics, Elsevier, vol. 122(C), pages 16-27.
    17. Maria Kravtsova & Aleksey Oshchepkov, 2019. "Market And Network Corruption," HSE Working papers WP BRP 209/EC/2019, National Research University Higher School of Economics.
    18. Sami Napari, 2008. "The Early‐career Gender Wage Gap among University Graduates in the Finnish Private Sector," LABOUR, CEIS, vol. 22(4), pages 697-733, December.
    19. Bryson, Alex & Chevalier, Arnaud, 2015. "Is there a taste for racial discrimination amongst employers?," Labour Economics, Elsevier, vol. 34(C), pages 51-63.
    20. Kaiser, Lutz C., 2014. "The Gender-Career Estimation Gap," IZA Discussion Papers 8185, Institute of Labor Economics (IZA).
    21. Bethany Everett & David Rehkopf & Richard Rogers, 2013. "The Nonlinear Relationship Between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 893-917, December.

    More about this item

    Keywords

    discrimination; universities; public policy; labor market institutions; social change; Africa.;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J7 - Labor and Demographic Economics - - Labor Discrimination

    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:ulp:sbbeta:2021-45. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.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.