Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/sza/wpaper/wpapers99.html
   My bibliography  Save this paper

Managing the teacher pay system: What the local and international data are telling us

Author

Listed:
  • Martin Gustafsson

    (Department of Economics, University of Stellenbosch)

  • Firoz Patel

    (System Planning and Monitoring, Department of Education)

Abstract
A review of a few input-output models indicates the importance of teacher ability, which may be independent of years of training, for improving pupil performance. A historical analysis confirms the substantial pay increases experienced by teachers in the mid-1990s, moderate pay increases in real terms since 1996, and a falling ratio of teacher pay to GDP per capita. Analysis of Labour Force Survey data reveals that in 2007 teachers were paid less than other professionals, even if the comparison is made conditional on a number of non-pay variables. Working hours is not used as a conditioning variable, however, and low pupil performance levels suggest that the average productivity of teachers is not high. In 2007 the age-pay slope for teachers was flatter than that for other professionals. The impact of the 2008 changes to the teacher pay system are considered. These changes initiate a gradual closing of the pay gap between teachers and other professionals, and convert a rather flat age-pay slope for teachers into one that compares favourably to that of other professionals, and to those of teachers in other countries. The fact that the new system links progression up the salary scales to the behavioural input characteristics of teachers is line with good practice elsewhere, but the linking of pupil performance to teacher pay is probably best undertaken collectively at the level of the school. The teaching hours put in by teachers compares favourably to those in other countries, yet the utilisation of teacher time in many schools is not optimal, resulting in class sizes that are unacceptably high.

Suggested Citation

  • Martin Gustafsson & Firoz Patel, 2009. "Managing the teacher pay system: What the local and international data are telling us," Working Papers 26/2009, Stellenbosch University, Department of Economics.
  • Handle: RePEc:sza:wpaper:wpapers99
    as

    Download full text from publisher

    File URL: https://www.ekon.sun.ac.za/wpapers/2009/wp262009/wp-26-2009.pdf
    File Function: First version, 2009
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Servaas VAN DER BERG & Onelle BURGER, 2003. "Education And Socio‐Economic Differentials: A Study Of School Performance In The Western Cape," South African Journal of Economics, Economic Society of South Africa, vol. 71(3), pages 496-522, September.
    2. Paul Glewwe & Nauman Ilias & Michael Kremer, 2010. "Teacher Incentives," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 205-227, July.
    3. Daniel Cohen & Marcelo Soto, 2007. "Growth and human capital: good data, good results," Journal of Economic Growth, Springer, vol. 12(1), pages 51-76, March.
    4. Daan Steenkamp & Ruan Erasmus, 2022. "South Africa’s yield curve conundrum," Working Papers 07, Economic Research Southern Africa.
    5. Hoenack, Stephen A., 1996. "The economics of education in developing countries: An assessment of the state of the art," Economics of Education Review, Elsevier, vol. 15(4), pages 327-338, October.
    6. Alejandra Mizala & Pilar Romaguera, 2004. "Teachers’ Salary Structure and Incentives in Chile," Documentos de Trabajo 193, Centro de Economía Aplicada, Universidad de Chile.
    7. Emiliana Vegas & Ilana Umansky, 2005. "Improving Teaching and Learning through Effective Incentives : What Can We Learn from Education Reforms in Latin America?," World Bank Publications - Reports 8694, The World Bank Group.
    8. Mingat, Alain & Jee-Peng Tan, 1998. "The mechanics of progress in education : evidence from cross-country data," Policy Research Working Paper Series 2015, The World Bank.
    9. Martin Gustafsson, 2007. "Using The Hierarchical Linear Model To Understand School Production In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 75(1), pages 84-98, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Paula Armstrong, 2014. "Teacher Wages in South Africa: How Attractive is the Teaching Profession?," Working Papers 08/2014, Stellenbosch University, Department of Economics.
    2. C.N. Mbatha & M.A. Gustafsson, 2013. "The standard error of regressions: a note on new evidence of significance misuse," Agrekon, Taylor & Francis Journals, vol. 52(1), pages 28-39, March.
    3. Robert Cameron & Vinothan Naidoo, 2016. "When a ‘ruling alliance’ and public sector governance meet: Managing for performance in South African basic education," Global Development Institute Working Paper Series esid-060-16, GDI, The University of Manchester.
    4. Martin Gustafsson & Tsekere Maponya, 2020. "Are South Africa’s teachers among the best paid in the world? Using household assets as a proxy for monetary pay," Working Papers 08/2020, Stellenbosch University, Department of Economics.

    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. Fabrice Murtin & Thomas Laurent & Geoff Barnard & Dean Janse van Rensburg & Vijay Reddy & George Frempong & Lolita Winnaar, 2015. "Policy Determinants of School Outcomes under Model Uncertainty: Evidence from South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(3), pages 317-334, September.
    2. Paula Armstrong, 2014. "Teacher Wages in South Africa: How Attractive is the Teaching Profession?," Working Papers 08/2014, Stellenbosch University, Department of Economics.
    3. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    4. Gopalkrishnan Iyer & Chris Counihan, 2018. "When a Right Goes Wrong: The Unintended Consequences of India's Right to Education Act," Economic Affairs, Wiley Blackwell, vol. 38(3), pages 367-379, October.
    5. Castelló-Climent, Amparo & Mukhopadhyay, Abhiroop, 2013. "Mass education or a minority well educated elite in the process of growth: The case of India," Journal of Development Economics, Elsevier, vol. 105(C), pages 303-320.
    6. Władysław Welfe, 2008. "A Knowledge-Based Economy: New Directions of Macromodelling," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(2), pages 167-180, May.
    7. Carstensen Kai & Hartmann Susanne & Gundlach Erich, 2009. "The Augmented Solow Model with Mincerian Schooling and Externalities," German Economic Review, De Gruyter, vol. 10(4), pages 448-463, December.
    8. Frederic, DOCQUIER & B. Lindsay, LOWELL & Abdeslam, MARFOUK, 2007. "A gendered assessment of the brain drain," Discussion Papers (ECON - Département des Sciences Economiques) 2007045, Université catholique de Louvain, Département des Sciences Economiques.
    9. Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020. "Optimal data collection for randomized control trials," The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
    10. Camilla Mastromarco & Léopold Simar, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," Journal of Productivity Analysis, Springer, vol. 55(2), pages 71-89, April.
    11. Daniele Checchi & Cecilia García‐Peñalosa, 2010. "Labour Market Institutions and the Personal Distribution of Income in the OECD," Economica, London School of Economics and Political Science, vol. 77(307), pages 413-450, July.
    12. Markus Speringer & Anne Goujon & Samir K.C. & Michaela Potancokova & Claudia Reiter & Sandra Jurasszovich & Jakob Eder, 2019. "Global Reconstruction of Educational Attainment, 1950 to 2015: Methodology and Assessment," VID Working Papers 1902, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    13. Marconi, G. & de Grip, A., 2014. "Education and growth with learning by doing," ROA Research Memorandum 010, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    14. Lay, Jann, 2010. "MDG Achievements, Determinants, and Resource Needs: What Has Been Learnt?," GIGA Working Papers 137, GIGA German Institute of Global and Area Studies.
    15. Oasis Kodila-Tedika & Simplice A. Asongu, 2015. "The Effect of Intelligence on Financial Development: A Cross-Country Comparison," Research Africa Network Working Papers 15/002, Research Africa Network (RAN).
    16. Rosés, Joan R., 2008. "Proximate causes of economic growth in Spain, 1850-2000," IFCS - Working Papers in Economic History.WH wp08-12, Universidad Carlos III de Madrid. Instituto Figuerola.
    17. Ferreira, Pedro Cavalcanti & Pessôa, Samuel de Abreu & Veloso, Fernando A., 2010. "The evolution of TFP in Latin America: high productivity when distortions were high?," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 699, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    18. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    19. ?gel de la Fuente, "undated". "Convergence Across Countries And Regions: Theory And Empirics," UFAE and IAE Working Papers 447.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    20. Miho Shirotori & Bolormaa Tumurchudur & Olivier Cadot, 2010. "Revealed Factor Intensity Indices at the Product Level," UNCTAD Blue Series Papers 44, United Nations Conference on Trade and Development.

    More about this item

    Keywords

    Teacher; School; Wage Differentials; Incentive; South Africa;
    All these keywords.

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:wpapers99. 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: 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.