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India’s ‘Missing Women’ and Men’s Sexual Risk Behavior

  • Scott South

    ()

  • Katherine Trent

    ()

  • Sunita Bose

    ()

Registered author(s):

    Although scholars and policymakers have long been concerned with the “missing women” of India, little rigorous research has examined the consequences of India’s sex ratio imbalance for young men’s sexual risk behavior and reproductive health. We use data from the third wave of India’s 2005–2006 National Family and Health Survey to examine the influence of the community female-to-male sex ratio at ages 10–39 on men’s likelihood of marrying early in life, of engaging in premarital, multi-partnered, and commercial sex, and of contracting a sexually-transmitted disease. We estimate logistic regression models that control for respondents’ demographic and socioeconomic status and that adjust for the clustering of observations within communities. Net of the effects of other characteristics, the female-to-male sex ratio is positively and significantly associated with the likelihood that men marry prior to age 18 and inversely and significantly associated with the odds that men have had intercourse with a commercial sex worker. However, no significant net associations are observed between the sex ratio and the other outcomes. Education, wealth, religious affiliation, caste, and geographic region emerge as significant predictors of Indian men’s sexual risk behaviors. Copyright Springer Science+Business Media B.V. 2012

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    File URL: http://hdl.handle.net/10.1007/s11113-012-9248-3
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    Article provided by Springer in its journal Population Research and Policy Review.

    Volume (Year): 31 (2012)
    Issue (Month): 6 (December)
    Pages: 777-795

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    Handle: RePEc:kap:poprpr:v:31:y:2012:i:6:p:777-795
    Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=102983

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    1. Shelley Clark, 2000. "Son preference and sex composition of children: Evidence from india," Demography, Springer, vol. 37(1), pages 95-108, February.
    2. Monica Das Gupta & Jiang Zhenghua & Li Bohua & Xie Zhenming & Woojin Chung & Bae Hwa-Ok, 2003. "Why is Son preference so persistent in East and South Asia? a cross-country study of China, India and the Republic of Korea," Journal of Development Studies, Taylor & Francis Journals, vol. 40(2), pages 153-187.
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    4. Abay Asfaw & Francesca Lamanna & Stephan Klasen, 2010. "Gender gap in parents' financing strategy for hospitalization of their children: evidence from India," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 265-279.
    5. Stephan Klasen & Claudia Wink, 2003. ""Missing Women": Revisiting The Debate," Feminist Economics, Taylor & Francis Journals, vol. 9(2-3), pages 263-299.
    6. Avraham Y. Ebenstein & Ethan Jennings Sharygin, 2009. "The Consequences of the "Missing Girls" of China," World Bank Economic Review, World Bank Group, vol. 23(3), pages 399-425, November.
    7. Peter Mayer, 1999. "India's Falling Sex Ratios," Population and Development Review, The Population Council, Inc., vol. 25(2), pages 323-343.
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    9. Agnihotri, Satish & Palmer-Jones, Richard & Parikh, Ashok, 2002. "Missing women in Indian districts: a quantitative analysis," Structural Change and Economic Dynamics, Elsevier, vol. 13(3), pages 285-314, September.
    10. repec:cai:poeine:pope_801_0091 is not listed on IDEAS
    11. Stephan Klasen & Claudia Wink, 2002. "A Turning Point in Gender Bias in Mortality? An Update on the Number of Missing Women," Population and Development Review, The Population Council, Inc., vol. 28(2), pages 285-312.
    12. Rohini Pande & Nan Astone, 2007. "Explaining son preference in rural India: the independent role of structural versus individual factors," Population Research and Policy Review, Springer, vol. 26(1), pages 1-29, February.
    13. Paula Griffiths & Zoë Matthews & Andrew Hinde, 2000. "Understanding the sex ratio in India: A simulation approach," Demography, Springer, vol. 37(4), pages 477-488, November.
    14. Jean Drèze & Reetika Khera, 2000. "Crime, Gender, and Society in India: Insights from Homicide Data," Population and Development Review, The Population Council, Inc., vol. 26(2), pages 335-352.
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