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Using an asset index to simulate household income

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Listed author(s):
  • Harttgen, Kenneth
  • Vollmer, Sebastian

Abstract

Commonly available survey data for developing countries often do not include income or expenditure data. This data limitation puts severe constraints on standard poverty and inequality analyses. We provide a simple approach to simulate household income based on publicly available Demographic and Health Surveys (DHS) and macroeconomic data. We illustrate our approach with DHS data for Bolivia, Indonesia and Zambia.

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File URL: http://www.sciencedirect.com/science/article/pii/S0165176513003765
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Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 121 (2013)
Issue (Month): 2 ()
Pages: 257-262

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Handle: RePEc:eee:ecolet:v:121:y:2013:i:2:p:257-262
DOI: 10.1016/j.econlet.2013.08.014
Contact details of provider: Web page: http://www.elsevier.com/locate/ecolet

Keywords: Asset index; Household income; Developing countries;

Find related papers by JEL classification:

  • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
  • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
  • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
  • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

References listed on IDEAS
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  1. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
  2. Kenneth Harttgen & Stephan Klasen & Sebastian Vollmer, 2013. "An African Growth Miracle? Or: What do Asset Indices Tell Us About Trends in Economic Performance?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59, pages 37-61, October.
  3. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
  4. Tarozzi, Alessandro & Mahajan, Aprajit, 2005. "Child Nutrition in India in the Nineties: A Story of Increased Gender Inequality?," Working Papers 05-06, Duke University, Department of Economics.
  5. David Stifel & Luc Christiaensen, 2007. "Tracking Poverty Over Time in the Absence of Comparable Consumption Data," World Bank Economic Review, World Bank Group, vol. 21(2), pages 317-341, June.
  6. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
  7. David McKenzie, 2005. "Measuring inequality with asset indicators," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(2), pages 229-260, 06.
  8. Kenneth Harttgen & Mark Misselhorn, 2006. "A Multilevel Approach to Explain Child Mortality and Undernutrition in South Asia and Sub-Saharan Africa," Ibero America Institute for Econ. Research (IAI) Discussion Papers 152, Ibero-America Institute for Economic Research.
  9. Narayan Sastry, 2004. "Trends in socioeconomic inequalities in mortality in developing countries: The case of child Survival in São Paulo, Brazil," Demography, Springer;Population Association of America (PAA), vol. 41(3), pages 443-464, August.
  10. Deon Filmer & Kinnon Scott, 2012. "Assessing Asset Indices," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 359-392, February.
  11. Bicego, George & Rutstein, Shea & Johnson, Kiersten, 2003. "Dimensions of the emerging orphan crisis in sub-Saharan Africa," Social Science & Medicine, Elsevier, vol. 56(6), pages 1235-1247, March.
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Cited by:

  1. Kenneth Harttgen & Stephan Klasen & Sebastian Vollmer, 2012. "Economic Growth and Child Undernutrition in Africa," UNDP Africa Policy Notes 2012-013, United Nations Development Programme, Regional Bureau for Africa.

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