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Analysis of poverty among the elderly in South Africa using the 2018 GHS data

Author

Listed:
  • Precious Mncayi

    (North-West University)

  • Steven Henry Dunga

    (North-West University)

Abstract

The different approaches to poverty reduction will only be effective if no category of people is left behind or miss diagnosed. There has been attention on gendered poverty, poverty among the youth, and fewer studies have focused on poverty among the elderly. The seniors face a different kind of poverty that is due to the dynamics that comes with age. As people get older their ability to participate in a productive capacity declines and that reduced their ability to earn or maintain the level of income earned in their productive age. There is need to understand the nature of poverty and which categories within the age group are more vulnerable. Using data collected in 2018 by statistics South Africa, this paper analyses the nature of poverty among the elderly (>60 years old). Focus will be on the individual and household characteristics that determine the poverty status. The paper use both descriptive statistics and a logistic regression in the analysis on poverty among the elderly.

Suggested Citation

  • Precious Mncayi & Steven Henry Dunga, 2019. "Analysis of poverty among the elderly in South Africa using the 2018 GHS data," Proceedings of International Academic Conferences 9912239, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:9912239
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    References listed on IDEAS

    as
    1. Cherchye, Laurens & De Rock, Bram & Vermeulen, Frederic, 2012. "Economic well-being and poverty among the elderly: An analysis based on a collective consumption model," European Economic Review, Elsevier, vol. 56(6), pages 985-1000.
    2. Andrea Brandolini & Silvia Magri & Timothy M. Smeeding, 2010. "Asset-based measurement of poverty," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 267-284.
    3. Lloyd-Sherlock, Peter, 2000. "Old Age and Poverty in Developing Countries: New Policy Challenges," World Development, Elsevier, vol. 28(12), pages 2157-2168, December.
    4. World Bank, 2011. "Perspectives on Poverty in India : Stylized Facts from Survey Data," World Bank Publications - Books, The World Bank Group, number 2299.
    5. Nanak Kakwani & Kalanidhi Subbarao, 2007. "Poverty among the elderly in Sub-Saharan Africa and the role of social pensions," Journal of Development Studies, Taylor & Francis Journals, vol. 43(6), pages 987-1008.
    6. Paul Schultz, T., 2002. "Why Governments Should Invest More to Educate Girls," World Development, Elsevier, vol. 30(2), pages 207-225, February.
    7. Akanksha Srivastava & Sanjay Mohanty, 2012. "Poverty Among Elderly in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 109(3), pages 493-514, December.
    8. World Bank, 2018. "Poverty and Shared Prosperity 2018 [Rapport 2018 sur la pauvreté et la prospérité partagée]," World Bank Publications - Books, The World Bank Group, number 30418.
    9. Christian Broda & Ephraim Leibtag & David E. Weinstein, 2009. "The Role of Prices in Measuring the Poor's Living Standards," Journal of Economic Perspectives, American Economic Association, vol. 23(2), pages 77-97, Spring.
    10. Kalman Rupp & Alexander Strand & Paul S. Davies, 2003. "Poverty Among Elderly Women: Assessing SSI Options to Strengthen Social Security Reform," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(6), pages 359-368.
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    Cited by:

    1. Steven Henry Dunga, 2022. "The common characteristics of employment status during the Covid-19 Lockdown," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(6), pages 451-457, September.

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    More about this item

    Keywords

    Poverty; Elderly poverty; poverty status; household poverty; South Africa;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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