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Asset-based versus money metric poverty indices in South Africa: An assessment using the Chronic Poverty Research Centre RSA 2002 Survey

Author

Listed:
  • David Crosoer
  • Murray Leibbrandt

    (SALDRU, School of Economics, University of Cape Town)

  • Ingrid Woolard

    (SALDRU, School of Economics, University of Cape Town)

Abstract

Using data from a detailed chronic poverty survey of three South African communities, this paper compares the correlations between traditional (i.e. income and expenditure) and wealth-based measures of poverty in ranking households as poor as well as their ability to explain additional qualitative measures of persistent poverty such as household hunger. We find significant locational differences in terms of the composition of household wealth measures and this complicates the derivation of appropriate wealth indices. Traditional money-metric measures of poverty that abstract from location appear to explain short-term measures of deprivation like household hunger relatively well, and consistently capture the bottom and top deciles of the distribution. On their own wealth-based measures appear less suited to explaining household hunger, suggesting more liquid based measures for short-term indicators are more appropriate.

Suggested Citation

  • David Crosoer & Murray Leibbrandt & Ingrid Woolard, 2005. "Asset-based versus money metric poverty indices in South Africa: An assessment using the Chronic Poverty Research Centre RSA 2002 Survey," SALDRU/CSSR Working Papers 109, Southern Africa Labour and Development Research Unit, University of Cape Town.
    • Handle: RePEc:ldr:cssrwp:109
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    File URL: https://www.opensaldru.uct.ac.za/handle/11090/657
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    References listed on IDEAS

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    1. Ingrid Woolard & Stephan Klasen, 2005. "Determinants of Income Mobility and Household Poverty Dynamics in South Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 41(5), pages 865-897.
    2. Aliber, Michael, 2003. "Chronic Poverty in South Africa: Incidence, Causes and Policies," World Development, Elsevier, vol. 31(3), pages 473-490, March.
    3. Howard White, 2005. "Combining the Quantitative and Qualitative Approaches to Poverty Measurement and Analysis," Development and Comp Systems 0505003, University Library of Munich, Germany.
    4. Filmer, Deon*Pritchett, Lant, 1998. "Estimating wealth effects without expenditure data - or tears : with an application to educational enrollments in states of India," Policy Research Working Paper Series 1994, The World Bank.
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