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The Impact of Public Services on Health Care and Illness: A Treatment Effects Model with Sample Selectivity

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  • Appleton, Simon

Abstract

Health care and status are jointly modeled using household data from Kenya. Both maternal primary education and distance to health facilities affect take-up of child health care, but the former is more powerful. Corrections for the selectivity of illness when modeling health demand are insignificant. Parental education, proximity to health facilities and piped water all increase reporting of illness symptoms. The first two results may reflect differences in reporting rather than in health. However, the effect of piped water remains disturbing. The impact of health care on the duration of illness is estimated controlling for endogeneity and found to be favorable but insignificant. Copyright 1998 by Oxford University Press.

Suggested Citation

  • Appleton, Simon, 1998. "The Impact of Public Services on Health Care and Illness: A Treatment Effects Model with Sample Selectivity," Journal of African Economies, Centre for the Study of African Economies, vol. 7(1), pages 1-33, March.
    • Handle: RePEc:oup:jafrec:v:7:y:1998:i:1:p:1-33
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    Cited by:

    1. Paul Collier & Stefan Dercon & John Mackinnon, 2002. "Density versus Quality in Health Care Provision: Using Household Data to Make Budgetary Choices in Ethiopia," The World Bank Economic Review, World Bank, vol. 16(3), pages 425-448, December.
    2. Muller, Christophe, 2009. "Do agricultural outputs of partly autarkic peasants affect their health and nutrition? Evidence from Rwanda," Food Policy, Elsevier, vol. 34(2), pages 166-175, April.
    3. Lawson, David, 2004. "Determinants of Health Seeking Behaviour in Uganda - Is It Just Income and User Fees That Are Important?," Development Economics and Public Policy Working Papers 30553, University of Manchester, Institute for Development Policy and Management (IDPM).
    4. Paul Collier & Stefan Dercon & John Mackinnon, 2002. "Density versus Quality in Health Care Provision: Using Household Data to Make Budgetary Choices in Ethiopia," World Bank Economic Review, World Bank Group, vol. 16(3), pages 425-448, December.

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