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Inferring gender bias from mortality data: A discussion note

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  • Satish Agnihotri

Abstract

In a recent issue of this journal, Klasen [1996] and Svedberg [1990, 1996] have expressed diverging opinions on the nature of gender bias in sub-Saharan Africa. The divergence arises partly out of the choice of indicators and partly out of the choice of standards. It is possible, however, to infer the existence of such bias without using referents from some external 'standard' population. Such an approach, using the infant and the under-five mortality data by sex and the data on sex ratios in the 0-4 and 5-9 age groups from the Indian population census of 1981, is described below. It is suggested that this type of approach will be useful in resolving the above debate.

Suggested Citation

  • Satish Agnihotri, 1999. "Inferring gender bias from mortality data: A discussion note," Journal of Development Studies, Taylor & Francis Journals, vol. 35(4), pages 175-200.
  • Handle: RePEc:taf:jdevst:v:35:y:1999:i:4:p:175-200
    DOI: 10.1080/00220389908422586
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    Cited by:

    1. Smith, Lisa C. & Byron, Elizabeth M., 2005. "Is greater decisionmaking power of women associated with reduced gender discrimination in South Asia?," FCND discussion papers 200, International Food Policy Research Institute (IFPRI).
    2. Ajieroh, Victor, 2009. "A quantitative analysis of determinants of child and maternal malnutrition in Nigeria:," NSSP working papers 10, International Food Policy Research Institute (IFPRI).
    3. Seguino, Stephanie, 2006. "The great equalizer?: Globalization effects on gender equality in Latin America and the Caribbean," MPRA Paper 6509, University Library of Munich, Germany.
    4. Emily Oster, 2005. "Hepatitis B and the Case of the Missing Women," CID Working Papers 7, Center for International Development at Harvard University.

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