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Measuring earnings inequality in South Africa using household survey and administrative tax microdata

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  • Andrew Kerr

Abstract

Overall income inequality in South Africa is very high, and inequality generated in the labour market is a key driver of inequality. In this paper, I use the Post-Apartheid Labour Market Series, the General Household Surveys, and administrative tax microdata to describe earnings inequality in South Africa. I estimate Gini coefficients, the variance of log earnings, and various percentile ratios to document changes in earnings inequality.

Suggested Citation

  • Andrew Kerr, 2021. "Measuring earnings inequality in South Africa using household survey and administrative tax microdata," WIDER Working Paper Series wp-2021-82, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2021-82
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    References listed on IDEAS

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    Cited by:

    1. Alexia Lochmann, 2022. "Diagnosing Drivers of Spatial Exclusion: Places, People, and Policies in South Africa’s Former Homelands," Growth Lab Working Papers 199, Harvard's Growth Lab.
    2. Alexia Lochmann, 2022. "Diagnosing Drivers of Spatial Exclusion: Places, People, and Policies in South Africa’s Former Homelands," CID Working Papers 140a, Center for International Development at Harvard University.
    3. Timothy Köhler & Haroon Bhorat & Robert Hill, 2023. "The effect of wage subsidies on job retention in a developing country: Evidence from South Africa," WIDER Working Paper Series wp-2023-114, World Institute for Development Economic Research (UNU-WIDER).
    4. Kerr,Andrew Nicholas & Zondi,Mxolisi, 2024. "Measuring the Upper Tail of the Income and Wealth Distributions," Policy Research Working Paper Series 10836, The World Bank.

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