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The effect of top incomes on inequality in South Africa

Author

Listed:
  • Janina Hundenborn

    (University of Cape Town)

  • Ingrid Woolard

    (University of Cape Town
    IZA
    World Institute for Development Economics Research (UNU-WIDER)
    Commitment to Equity Institute (CEQ))

  • Jon Jellema

    (Commitment to Equity Institute (CEQ))

Abstract

South Africa exhibits extreme levels of income inequality and is ranked as one of the most unequal countries in the world. In order to measure these severe levels of inequality, it matters how we account for the different parts of the income distribution. Although the approach has gained international attention, there has not been any attempt at combining tax administration data with household survey data in order to account for incomes at all parts of the distribution, and especially from the top of the income distribution in South Africa. This paper uses a novel technique to identify the optimal method of combining tax administration with household survey data. Our results show the dramatic effects of accounting for reporting bias in household surveys by using tax administration data. When combining the two data sets, we find a significant decrease in overall inequality of taxable income in South Africa between 2011 and 2014, the 2 years under observation. Nonetheless, income inequality in South Africa remains high. For our analysis, we use two waves of the National Income Dynamics Study, a national representative household survey and compare the information to a sample of almost 1.2 million records on personal income tax for the 2011 tax year and about 1 million records the 2014 tax year.

Suggested Citation

  • Janina Hundenborn & Ingrid Woolard & Jon Jellema, 2019. "The effect of top incomes on inequality in South Africa," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(5), pages 1018-1047, October.
  • Handle: RePEc:kap:itaxpf:v:26:y:2019:i:5:d:10.1007_s10797-018-9529-9
    DOI: 10.1007/s10797-018-9529-9
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    Cited by:

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    2. Ihsaan Bassier & Ingrid Woolard, 2021. "Exclusive Growth? Rapidly Increasing Top Incomes Amid Low National Growth in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 89(2), pages 246-273, June.
    3. von Fintel, Dieter & Orthofer, Anna, 2020. "Wealth inequality and financial inclusion: Evidence from South African tax and survey records," Economic Modelling, Elsevier, vol. 91(C), pages 568-578.
    4. Alloush, Mo & Bloem, Jeffrey R., 2022. "Neighborhood violence, poverty, and psychological well-being," Journal of Development Economics, Elsevier, vol. 154(C).
    5. Alem, Yonas & Tato, Gidisa Lachisa, 2022. "Shocks and Mental Health: Panel Data Evidence from South Africa," EfD Discussion Paper 22-1, Environment for Development, University of Gothenburg.
    6. Simpson, Gareth & Jewitt, Graham & Becker, William & Badenhorst, Jessica & Neves, Ana & Rovira, Pere & Pascual, Victor, 2020. "The Water-Energy-Food Nexus Index: A Tool for Integrated Resource Management and Sustainable Development," OSF Preprints tdhw5, Center for Open Science.
    7. Gretha Steenkamp & Nicolene Wesson, 2023. "Do Share Repurchases Crowd Out Internal Investment in South Africa?," IJFS, MDPI, vol. 11(3), pages 1-16, July.
    8. Alem, Yonas & Tato, Gidisa Lachisa, 2023. "Shocks and mental health: Panel data evidence from South Africa," World Development, Elsevier, vol. 168(C).
    9. Victor H Mlambo & Nonoxlo Nomfundo Khuzwayo, 2021. "COVID-19, Food Insecurity and aGovernment Response: Reflections from South Africa," Technium Social Sciences Journal, Technium Science, vol. 19(1), pages 1-14, May.
    10. Wynnona Steyn & Alexius Sithole & Winile Ngobeni & Eva Muwanga-Zake & Helen Barnes & Michael Noble & David McLennan & Gemma Wright & Katrin Gasior, 2021. "Simulating personal income tax in South Africa using administrative data and survey data: A comparison of PITMOD and SAMOD for tax year 2018," WIDER Working Paper Series wp-2021-120, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    Income distribution; Inequality; South Africa; Personal income tax;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

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