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Parental Preferences for Nutrition of Boys and Girls: Evidence from Africa

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  • D. E. Sahn
  • D. C. Stifel

Abstract

This article models the determinants of pre-school age malnutrition in Africa using the Demographic Health Surveys. By examining the differences in the impact of mother's and father's education on the nutrition of boys and girls, we draw inferences from our reduced-form equations regarding the existence of non-unified preferences. In a bargaining framework, women with more schooling are able to earn more, which improves their fallback position. Thus, we test whether mother's schooling has a larger impact on daughter's than son's nutrition, and whether father's education favors son's nutrition. Using classical testing criteria, we generally find that preferences of fathers and mother differ in regard to the health of boys and girls.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Journal of Development Studies.

Volume (Year): 39 (2002)
Issue (Month): 1 ()
Pages: 21-45

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Handle: RePEc:taf:jdevst:v:39:y:2002:i:1:p:21-45

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Related research

Keywords: pre-school age malnutrition; Africa; mother's and father's education; classical testing criteria;

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Cited by:
  1. David Sahn & Stephen Younger, 2005. "Improvements in children’s health: Does inequality matter?," Journal of Economic Inequality, Springer, vol. 3(2), pages 125-143, August.
  2. Zewdie, Tadiwos & Abebaw, Degnet, 0. "Determinants of Child Malnutrition: Empirical Evidence from Kombolcha District of Eastern Hararghe Zone, Ethiopia," Quarterly Journal of International Agriculture, Humboldt-Universität zu Berlin, vol. 52.
  3. Martin Gächter & Engelbert Theurl, 2010. "Socioeconomic Environment and Mortality: A two-level Decomposition by Sex and Cause of Death," NRN working papers 2010-10, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
  4. Penders, Christopher L. & Staatz, John M., 2001. "The Impact Of Household Level Determinants Of Child Health And Nutrition: Cross-Country Evidence From West Africa," Staff Papers 11579, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  5. David Stifel & Harold Alderman, 2006. "The "Glass of Milk" Subsidy Program and Malnutrition in Peru," World Bank Economic Review, World Bank Group, vol. 20(3), pages 421-448.
  6. Magnus Hatlebakk, 2012. "Malnutrition in South-Asia. Poverty, diet or lack of female empowerment?," CMI Working Papers 4, CMI (Chr. Michelsen Institute), Bergen, Norway.
  7. Mansuri, Ghazala, 2006. "Migration,sex bias, and child growth in rural Pakistan," Policy Research Working Paper Series 3946, The World Bank.
  8. David E. Sahn & Stephen D. Younger, 2009. "Measuring intra‐household health inequality: explorations using the body mass index," Health Economics, John Wiley & Sons, Ltd., vol. 18(S1), pages S13-S36, April.
  9. Martin Gächter & Peter Schwazer & Engelbert Theurl, 2010. "Stronger sex but earlier death: A multi-level socioeconomic analysis of gender differences in mortality in Austria," NRN working papers 2010-06, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
  10. Steckel, Richard H., 2009. "Heights and human welfare: Recent developments and new directions," Explorations in Economic History, Elsevier, vol. 46(1), pages 1-23, January.
  11. Borooah, Vani K., 2005. "The height-for-age of Indian children," Economics & Human Biology, Elsevier, vol. 3(1), pages 45-65, March.
  12. Wise, Victoria, 2004. "Situation Nutritionnelles des jeunes enfants au Rwanda: Une analyse de données anthropométriques collectées par l'Enquête sur les Conditions de Vie des Ménages 1999-2001," Food Security Collaborative Working Papers 55379, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  13. Wise, Victoria, 2004. "Nutritional Situation of Young Children in Rwanda: An Analysis of Anthropometric Data Collected by the Household Living Conditions Survey, 1999-2001," Food Security Collaborative Working Papers 55377, Michigan State University, Department of Agricultural, Food, and Resource Economics.

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