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On the Dynamic Relationship between Household Debt and Income Inequality in South Africa

Author

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  • Sheunesu Zhou

    (Department of Economics, University of Zululand, Richards Bay 3886, South Africa)

  • Olivier Niyitegeka

    (Department of Quality Assurance, Regenesys Business School, Durban 4000, South Africa)

Abstract

This paper analyses the relationship between household debt and income inequality in South Africa for the period 1980–2021. We use two measures of inequality and estimate a vector error correction model (VECM) which includes household debt, inequality, and other macroeconomic variables. To test the robustness of our results, single equation models are used, which estimate household debt as a function of inequality and macroeconomic factors. We employ two measures of inequality, namely Gini coefficient and ratio of top and bottom income earners’ proportion of income. Furthermore, we use both household debt as a percentage of disposable income and household debt service costs as dependent variables in single equation regressions. The study finds a negative and significant relationship between household debt and income inequality in the long run, which contradicts the Rajan hypothesis in the South African case. Rather, we find that inequality in South Africa creates a bias in debt allocation towards high-income earners, whose incomes can easily absorb the extra debt (reduced ratio of debt to disposable income). There are therefore no socio-equity considerations in South African credit markets. We find growth in gross domestic product (GDP) per capita also has a moderating effect on the relationship between household debt and income inequality. High GDP per capita growth in the presence of high inequality reduces the impact of inequality on household debt and vice-versa. All other control variables take expected signs. These results are robust to changes in the inequality or household debt measures.

Suggested Citation

  • Sheunesu Zhou & Olivier Niyitegeka, 2023. "On the Dynamic Relationship between Household Debt and Income Inequality in South Africa," JRFM, MDPI, vol. 16(10), pages 1-17, September.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:10:p:427-:d:1247676
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    References listed on IDEAS

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    1. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    2. Janina Hundenborn & Ingrid Woolard & Murray Leibbrandt, 2016. "Drivers of Inequality in South Africa," SALDRU Working Papers 194, Southern Africa Labour and Development Research Unit, University of Cape Town.
    3. Anelisa Nomatye & Andrew Phiri, 2018. "Investigating the Macroeconomic Determinants of Hosehold Debt in South Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 8(2), pages 62-69.
    4. Olivier Coibion & Yuriy Gorodnichenko & Marianna Kudlyak & John Mondragon, 2020. "Greater Inequality and Household Borrowing: New Evidence from Household Data," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 2922-2971.
    5. Janina Hundenborn & Ingrid Woolard & Murray Leibbrandt, 2016. "Drivers of Inequality in South Africa," SALDRU Working Papers 194, Southern Africa Labour and Development Research Unit, University of Cape Town.
    6. Omer Ozcicek & W. DOUGLAS McMILLIN, 1999. "Lag length selection in vector autoregressive models: symmetric and asymmetric lags," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 517-524.
    7. Murray Leibbrandt & Arden Finn & Ingrid Woolard, 2012. "Describing and decomposing post-apartheid income inequality in South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 29(1), pages 19-34, March.
    8. Thornton, John & Tommaso, Caterina Di, 2020. "The long-run relationship between finance and income inequality: Evidence from panel data," Finance Research Letters, Elsevier, vol. 32(C).
    9. Michael Rogan & John Reynolds, 2016. "Schooling inequality, higher education and the labour market: Evidence from a graduate tracer study in the Eastern Cape, South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 33(3), pages 343-360, May.
    10. Wang, Shengquan, 2023. "Income inequality and systemic banking crises: A nonlinear nexus," Economic Systems, Elsevier, vol. 47(4).
    11. Markus Christen & Ruskin Morgan, 2005. "Keeping Up With the Joneses: Analyzing the Effect of Income Inequality on Consumer Borrowing," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 145-173, June.
    12. Glauco De Vita & Yun Luo, 2021. "Financialization, household debt and income inequality: Empirical evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1917-1937, April.
    13. Xiao Chang & Guoqiang Li & Xinhua Gu & Chunyu Lei, 2020. "Does the inequality-credit-crisis nexus exist? An empirical re-examination," Applied Economics, Taylor & Francis Journals, vol. 52(37), pages 4044-4057, July.
    14. Nicola Branson & Julia Garlick & David Lam & Murray Leibbrandt, 2012. "Education and Inequality: The South African Case," SALDRU Working Papers 75, Southern Africa Labour and Development Research Unit, University of Cape Town.
    15. Nicholas M. Odhiambo, 2009. "Interest rate reforms, financial deepening and economic growth in Kenya:an empirical investigation," Journal of Developing Areas, Tennessee State University, College of Business, vol. 43(1), pages 295-313, September.
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