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Child Survival, Poverty and Policy Options from DHS Surveys in Kenya: 1993-2003

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Author Info
Jane Kabubo-Mariara
Margaret M. Karienyeh
Francis K. Mwangi
Abstract

This paper analyses multidimensional aspects of child poverty in Kenya. We carry out poverty and inequality comparisons for child survival and also use the parametric survival model to explain childhood mortality using DHS data. The results of poverty comparisons show that: children with the lowest probability of survival are from households with the lowest level of assets; and poverty orderings for child survival by assets are robust to the choice of the poverty line and to the measure of wellbeing. Inequality analysis suggests that there is less mortality inequality among children facing mortality than children who are better off. The survival model results show that child and maternal characteristics, and household assets are important correlates of childhood mortality. The results further show that health care services are crucial for child survival. Policy simulations suggest that there is potential for making some progress in reducing mortality, but the ERS and MDG targets cannot be achieved.

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Paper provided by PEP-PMMA in its series Cahiers de recherche PMMA with number 2008-01.

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Date of creation: 2008
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Handle: RePEc:lvl:pmmacr:2008-01

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Related research
Keywords: Child survival; multidimensional poverty; inequality; stochastic dominance; childhood mortality; asset index; Kenya;

Find related papers by JEL classification:
J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
I12 - Health, Education, and Welfare - - Health - - - Health Production
I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
I38 - Health, Education, and Welfare - - Welfare and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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  1. Strauss, John & Thomas, Duncan, 1995. "Human resources: Empirical modeling of household and family decisions," Handbook of Development Economics, in: Hollis Chenery† & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 34, pages 1883-2023 Elsevier. [Downloadable!] (restricted)
  2. Strauss, J. & Thomas, D., 1995. "Empirical Modeling of Household and Family Decisions," Papers 95-12, RAND - Reprint Series.
  3. Filmer, Deon & Pritchett, Lant, 1997. "Child mortality and public spending on health : how much does money matter?," Policy Research Working Paper Series 1864, The World Bank. [Downloadable!]
  4. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, Blackwell Publishing, vol. 49(4), pages 463-489, December. [Downloadable!] (restricted)
  5. Wang, Limin, 2002. "Health outcomes in poor countries and policy options : empirical findings from demographic and health surveys," Policy Research Working Paper Series 2831, The World Bank. [Downloadable!]
  6. Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December. [Downloadable!] (restricted)
  7. Sarah Ssewanyana & Stephen D. Younger, 2008. "Infant Mortality in Uganda: Determinants, Trends and the Millennium Development Goals," Journal of African Economies, Oxford University Press, vol. 17(1), pages 34-61, January. [Downloadable!] (restricted)
  8. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May. [Downloadable!] (restricted)
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