Multidimensional Poverty, Survival and Inequality Among Kenyan Children

  • Jane Kabubo-Mariara
  • Margaret M. Karienyeh
  • Francis K. Mwangi


This chapter 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 well-being. 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.


Child survival Multidimensional poverty Inequality Stochastic dominance Childhood mortality Asset index Kenya 

JEL Classification

J13 I12 I32 I38 D63 


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Copyright information

© Poverty and Economic Policy (PEP) Research Network 2010

Authors and Affiliations

  • Jane Kabubo-Mariara
    • 1
  • Margaret M. Karienyeh
    • 2
  • Francis K. Mwangi
    • 1
  1. 1.University of NairobiNairobiKenya
  2. 2.Kenyatta UniversityNairobiKenya

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