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Teacher supply and the quality of schooling in South Africa. Patterns over space and time

Author

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  • Martin Gustafsson

    () (Department of Economics, University of Stellenbosch)

Abstract

The paper addresses policy questions in South Africa’s education system using a newly merged 1999 to 2013 panel of data that includes school enrolments by grade, staff details from the payroll system, examination and test results and the geo-coordinates of schools. This combination of data, which is seldom used, at least in developing countries, permits new and important knowledge about a schooling system to be uncovered. Whilst policy conclusions are South Africa-specific, the methods would be largely transferable to other contexts. It is shown that school data can complement official population data with respect to the monitoring of within-country migration and in determining the rate of urbanisation. An approach for calculating the viability of small schools in a context of migration out of rural areas is presented, using assumptions around maximum distance to be travelled by pupils and the degree to which multi-grade teaching by teachers should be permitted. Cost reductions associated with a reduced presence of small schools, and greater economies of scale associated with larger schools are found to be smaller than what is generally assumed. Correlations between pupil under-performance and the under-staffing of schools are found to be higher at the primary than the secondary level, apparently confirming the greater importance of personal interaction with a teacher for younger pupils. Between-school movements of pupils other than those associated with urbanisation are found to be high, and highly variable across districts. This further complicates the allocation of publicly paid teachers. An approach to gauging whether teachers avoid moving to schools on the other side of provincial boundaries is presented. It is confirmed that movement across provinces, which are the employers of teachers, is restricted, creating further obstacles to efficient teacher allocation. It is confirmed that teachers tend to move to better performing schools, but that the performance signals that influence this movement are often inaccurate and a few years old.

Suggested Citation

  • Martin Gustafsson, 2016. "Teacher supply and the quality of schooling in South Africa. Patterns over space and time," Working Papers 03/2016, Stellenbosch University, Department of Economics.
  • Handle: RePEc:sza:wpaper:wpapers258
    as

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    File URL: https://www.ekon.sun.ac.za/wpapers/2016/wp032016/wp-03-2016.pdf
    File Function: First version, 2016
    Download Restriction: no

    References listed on IDEAS

    as
    1. Brophy, Tim & Daniels, Reza Che & Musundwa, Sibongile, 2014. "gpsbound: Routine for importing and verifying geographical information from a user provided shapefile," SALDRU Working Papers 132, Southern Africa Labour and Development Research Unit, University of Cape Town.
    2. Gustafsson, Martin, 2015. "Enrolment ratios and related puzzles in developing countries: Approaches for interrogating the data drawing from the case of South Africa," International Journal of Educational Development, Elsevier, vol. 42(C), pages 63-72.
    3. Gabrielle Wills, 2015. "A profile of the labour market for school principals in South Africa: Evidence to inform policy," Working Papers 12/2015, Stellenbosch University, Department of Economics.
    4. Martin Gustafsson & Stephen Taylor, 2013. "Treating schools to a new administration. The impact of South Africa’s 2005 provincial boundary changes on school performance," Working Papers 28/2013, Stellenbosch University, Department of Economics.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Gabrielle Wills, 2016. "Principal leadership changes in South Africa: Investigating their consequences for school performance," Working Papers 01/2016, Stellenbosch University, Department of Economics.

    More about this item

    Keywords

    South Africa; teacher supply; education planning; spatial analysis;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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