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A Turning Point in Gender Bias in Mortality? An Update on the Number of Missing Women

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Author Info
Stephan Klasen
Claudia Wink

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Abstract

Amartya Sen started a debate about gender bias in mortality by estimating the number of "missing women," which refers to the number of females of any age who have presumably died as a result of discriminatory treatment. Depending on the assumptions made, the combined estimates for countries exhibiting the presence of such gender bias varied between 60 and 107 million. As new population data have become available for these countries, this article examines whether the number of "missing women" has changed in the past decade. The combined estimate of the number of missing women has risen in absolute terms but has fallen slightly in relation to overall population. Considerable improvement is evident in West Asia, North Africa, and parts of South Asia, while only small improvements have occurred in India and a deterioration took place in China. Analyses of the underlying causes of gender bias in mortality suggest that improvements are largely related to improved female education and employment opportunities and rising overall incomes, while deterioration is mostly attributable to the rising incidence of sex-selective abortions. Copyright 2002 by The Population Council, Inc..

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1728-4457.2002.00285.x
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Publisher Info
Article provided by The Population Council, Inc. in its journal Population and Development Review.

Volume (Year): 28 (2002)
Issue (Month): 2 ()
Pages: 285-312
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Handle: RePEc:bla:popdev:v:28:y:2002:i:2:p:285-312

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  1. Stephan Klasen, 2006. "Pro-Poor Growth and Gender Inequality," Ibero America Institute for Econ. Research (IAI) Discussion Papers 151, Ibero-America Institute for Economic Research. [Downloadable!]
  2. Blackden, Mark & Canagarajah, Sudharshan & Klasen, Stephan & Lawson, David, 2006. "Gender and Growth in Sub-Saharan Africa: Issues and Evidence," Working Papers RP2006/37, World Institute for Development Economic Research (UNU-WIDER). [Downloadable!]
  3. Arup Maharatna, 2009. "Can ‘Beautiful’ Be ‘Backward’? India’s Tribes in a Long-Term Demographic Perspective," Working Papers id:2191, esocialsciences.com. [Downloadable!]
  4. Stephan Klasen, 2008. "Missing Women: Some Recent Controversies on Levels and Trends in Gender Bias in Mortality," Ibero America Institute for Econ. Research (IAI) Discussion Papers 168, Ibero-America Institute for Economic Research. [Downloadable!]
  5. Das Gupta, Monica, 2008. "Does Hepatitis B infection or son preference explain the bulk of gender imbalance in China ? : a review of the evidence," Policy Research Working Paper Series 4502, The World Bank. [Downloadable!]
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