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A Multinomial Model of Fertility Choice and Offspring Sex Ratios in India

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  • Rubiana Chamarbagwala
  • Martin Ranger

Abstract

We use the fertility histories of over 70,000 Indian women from the Third National Family and Health Survey to investigate the relationship between family size and offspring sex ratios in India. We find that families with three or more children exhibit gender equality in offspring sex ratios. In families with one or two children, however, there are less than 800 daughters for every 1000 sons. Thus, we find an 'intensification' effect�-�namely, a positive correlation between family size and female-male offspring sex ratios. Our results indicate that greater wealth and paternal education may increase parents' access to and affordability of sex-selection technologies, thereby allowing them to choose both the sex of their children as well as a smaller family size.

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Bibliographic Info

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

Volume (Year): 46 (2010)
Issue (Month): 3 ()
Pages: 417-438

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Handle: RePEc:taf:jdevst:v:46:y:2010:i:3:p:417-438

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  1. Oster, Emily, 2009. "Does increased access increase equality? Gender and child health investments in India," Journal of Development Economics, Elsevier, vol. 89(1), pages 62-76, May.
  2. Paulo Guimaraes & Richard Lindrooth, 2005. "Dirichlet-Multinomial Regression," Econometrics 0509001, EconWPA.
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Cited by:
  1. Rubiana Chamarbagwala, 2011. "Sibling composition and selective gender-based survival bias," Journal of Population Economics, Springer, vol. 24(3), pages 935-955, July.

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