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Does biological relatedness affect child survival?

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Author Info

  • David Bishai

    (Johns Hopkins University)

  • Heena Brahmbhatt

    (Johns Hopkins University)

  • Ron Gray

    (Johns Hopkins University)

  • Godfrey Kigozi

    (Makerere University)

  • David Serwadda

    (Makerere University)

  • Nelson Sewankambo

    (Makerere University)

  • El Daw Suliman

    (Johns Hopkins University)

  • Fred Wabwire-Mangen

    (Makerere University)

  • Maria Wawer

    (Johns Hopkins University)

Abstract

Objective: We studied child survival in Rakai, Uganda where many children are fostered out or orphaned. Methods: Biological relatedness is measured as the average of the Wright’s coefficients between each household member and the child. Instrumental variables for fostering include proportion of adult males in household, age and gender of household head. Control variables include SES, religion, polygyny, household size, child age, child birth size, and child HIV status. Results: Presence of both parents in the household increased the odds of survival by 28%. After controlling for the endogeneity of child placement decisions in a multivariate model we found that lower biological relatedness of a child was associated with statistically significant reductions in child survival. The effects of biological relatedness on child survival tend to be stronger for both HIV- and HIV+ children of HIV+ mothers. Conclusions: Reductions in the numbers of close relatives caring for children of HIV+ mothers reduce child survival.

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Bibliographic Info

Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.

Volume (Year): 8 (2003)
Issue (Month): 9 (May)
Pages: 261-278

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Handle: RePEc:dem:demres:v:8:y:2003:i:9

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Web page: http://www.demogr.mpg.de/

Related research

Keywords: AIDS/HIV; child survival; fostering; orphans; Uganda;

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References

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  1. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
  2. 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.
  3. Ainsworth, Martha & Filmer, Deon, 2002. "Poverty, AIDS, and children's schooling - a targeting dilemma," Policy Research Working Paper Series 2885, The World Bank.
  4. Anne Case & Christina Paxson & Joseph Ableidinger, 2002. "Orphans in Africa," NBER Working Papers 9213, National Bureau of Economic Research, Inc.
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Cited by:
  1. Kadiyala, Suneetha & Quisumbing, Agnes & Rogers, Beatrice & Webb, Patrick, 2009. "The Impact of Prime Age Adult Mortality on Child Survival and Growth in Rural Ethiopia," World Development, Elsevier, vol. 37(6), pages 1116-1128, June.
  2. Rachel Goldberg & Susan Short, 2012. "“The Luggage that isn’t Theirs is Too Heavy…”: Understandings of Orphan Disadvantage in Lesotho," Population Research and Policy Review, Springer, vol. 31(1), pages 67-83, February.
  3. Akresh, Richard, 2004. "Adjusting Household Structure: School Enrollment Impacts of Child Fostering in Burkina Faso," IZA Discussion Papers 1379, Institute for the Study of Labor (IZA).
  4. Mussa, Richard, 2009. "Household economic status, schooling costs, and schooling bias against non-biological children in Malawi," MPRA Paper 15855, University Library of Munich, Germany, revised 21 Jun 2009.
  5. Anne Case & Christina Paxson & Joseph Ableidinger, 2004. "Orphans in Africa: Parental Death, Poverty and School Enrollment," Working Papers 183, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
  6. Akresh, Richard, 2005. "Risk, Network Quality, and Family Structure: Child Fostering Decisions in Burkina Faso," IZA Discussion Papers 1471, Institute for the Study of Labor (IZA).
  7. Asiamah, Selloane & Kraybill, David S. & Thompson, Stanley R., 2005. "Does Orphan Status Affect Primary School Attendance? An Analysis of Household Survey Data from Uganda," 2005 Annual meeting, July 24-27, Providence, RI 19489, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  8. Laura Porter & Lingxin Hao & David Bishai & David Serwadda & Maria Wawer & Thomas Lutalo & Ronald Gray, 2004. "Hiv status and union dissolution in Sub-saharan Africa: The case of Rakai, Uganda," Demography, Springer, vol. 41(3), pages 465-482, August.
  9. Ainsworth, Martha & Filmer, Deon, 2006. "Inequalities in children's schooling: AIDS, orphanhood, poverty, and gender," World Development, Elsevier, vol. 34(6), pages 1099-1128, June.

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