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Public Goods Access and Juvenile Sex Ratios in Rural India: Evidence from the 1991 and 2001 Village Census Data

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  • B. Deolalikar, Anil

    (University of California, Riverside)

  • Hasan, Rana

    (Asian Development Bank)

  • Somanathan, Rohini

    (Delhi School of Economics)

Abstract

We use village level data from the 1991 and 2001 Indian Censuses to examine how the availability of health facilities and safe drinking water at the village level affect juvenile sex ratios. In addition to controlling for village fixed effects in our estimating equation of the juvenile sex ratio, we also allow villages to be heterogeneous in terms of how their juvenile sex ratios respond to the availability of health facilities and safe drinking water. A key result we obtain is that although the presence of public health facilities does not exert a positive, significant effect on juvenile sex ratios on average, they do so in villages where the problem of discrimination against girls is most acute, i.e., in villages at the 0.10 and 0.25 quantiles of the conditional juvenile sex ratio distribution. Thus public policy can be an effective tool in improving gender balance in cases where it is most needed.

Suggested Citation

  • B. Deolalikar, Anil & Hasan, Rana & Somanathan, Rohini, 2009. "Public Goods Access and Juvenile Sex Ratios in Rural India: Evidence from the 1991 and 2001 Village Census Data," ADB Economics Working Paper Series 167, Asian Development Bank.
    • Handle: RePEc:ris:adbewp:0167
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    1. Becker, Gary S & Tomes, Nigel, 1976. "Child Endowments and the Quantity and Quality of Children," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 143-162, August.
    2. Chai Park, 1983. "Preference for Sons, Family Size, and Sex Ratio: An Empirical Study in Korea," Demography, Springer;Population Association of America (PAA), vol. 20(3), pages 333-352, August.
    3. Rosenzweig, Mark R & Wolpin, Kenneth I, 1986. "Evaluating the Effects of Optimally Distributed Public Programs: ChildHealth and Family Planning Interventions," American Economic Review, American Economic Association, vol. 76(3), pages 470-482, June.
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    5. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    6. Jean Drèze & Mamta Murthi, 2001. "Fertility, Education, and Development: Evidence from India," Population and Development Review, The Population Council, Inc., vol. 27(1), pages 33-63, March.
    7. Eric R. Eide & Mark H. Showalter, 1999. "Factors Affecting the Transmission of Earnings across Generations: A Quantile Regression Approach," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 253-267.
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    Cited by:

    1. Nandi, Arindam & Deolalikar, Anil B., 2013. "Does a legal ban on sex-selective abortions improve child sex ratios? Evidence from a policy change in India," Journal of Development Economics, Elsevier, vol. 103(C), pages 216-228.

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