Earnings and Earnings Inequality in South Africa: Evidence from Household Survey and Administrative Tax Microdata from 1993 to 2020

IF 1.9 3区 经济学 Q2 ECONOMICS Review of Income and Wealth Pub Date : 2024-05-29 DOI:10.1111/roiw.12695
Andrew Kerr
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Abstract

In this paper I use household survey and administrative tax microdata to describe earnings inequality in South Africa over the period 1993–2020. I find that earnings inequality is very high but has been stable, or even declined by some measures, and earnings increases have been largest at the bottom of the earnings distribution. Previous findings of increasing earnings or wage inequality in South Africa from 2010 onwards come from one set of household surveys. I show that the publicly available data from these surveys include poor‐quality earnings imputations and that non‐public data without these imputations provide more sensible trends in earnings and earnings inequality. Comparisons between tax and survey data also show that earnings inequality in the tax data is generally higher than in the more comparable households survey and that earnings in the surveys is under‐captured far down the formal sector earnings distribution.
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南非的收入和收入不平等:从 1993 年至 2020 年住户调查和行政税收微观数据中获得的证据
在本文中,我利用家庭调查和行政税收微观数据来描述 1993-2020 年间南非的收入不平等现象。我发现,收入不平等现象非常严重,但一直保持稳定,甚至在某些指标上有所下降,收入增长幅度最大的是收入分布的底层。之前关于南非自 2010 年以来收入或工资不平等加剧的研究结果来自一组家庭调查。我的研究表明,这些调查的公开数据包括质量较差的收入估算,而没有这些估算的非公开数据提供了更合理的收入和收入不平等趋势。税收数据与调查数据之间的比较还显示,税收数据中的收入不平等程度普遍高于更具可比性的住户调查数据,而且调查数据对正规部门收入分布中较低层次的收入捕捉不足。
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来源期刊
CiteScore
4.00
自引率
10.00%
发文量
62
期刊介绍: The major objective of the Review of Income and Wealth is to advance knowledge on the definition, measurement and interpretation of national income, wealth and distribution. Among the issues covered are: - national and social accounting - microdata analyses of issues related to income and wealth and its distribution - the integration of micro and macro systems of economic, financial, and social statistics - international and intertemporal comparisons of income, wealth, inequality, poverty, well-being, and productivity - related problems of measurement and methodology
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