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Determinants of Nutritional Outcomes of Children in India: A Quantile Regression Approach

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  • Kandpal, Eeshani
  • McNamara, Paul E.

Abstract

In this paper, we use quantile regressions on data from the 2005-06 wave of the Indian National Family Health Survey to study the determinants of child body-mass-index, height-for-age, and hemoglobin at different points of the conditional distribution. Our results show that only considering the conditional mean of the entire distribution can yield misleading results. In light of compelling evidence on sex-selective abortion and infanticide, we use a Heckman correction for our quantile regression to control for the “underreporting” of female births documented by Rose (1999). We find that household maternal health and education have larger effects at the lower end of the distribution than on the upper end, for all three child nutritional indicators. Results show that iron supplements are less effective at increasing hemoglobin levels in the worst-off children. We argue that policy interventions must account for socioeconomic diversity or have little hope of meeting their target.

Suggested Citation

  • Kandpal, Eeshani & McNamara, Paul E., 2009. "Determinants of Nutritional Outcomes of Children in India: A Quantile Regression Approach," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49415, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea09:49415
    DOI: 10.22004/ag.econ.49415
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    References listed on IDEAS

    as
    1. John Strauss & Duncan Thomas, 1998. "Health, Nutrition, and Economic Development," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 766-817, June.
    2. Das Gupta, Monica & Lokshin, Michael & Gragnolati, Michele & Ivaschenko, Oleksiy, 2005. "Improving child nutrition outcomes in India : can the integrated child development services be more effective?," Policy Research Working Paper Series 3647, The World Bank.
    3. Elaina Rose, 1999. "Consumption Smoothing and Excess Female Mortality in Rural India," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 41-49, February.
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    Cited by:

    1. Katsushi S. Imai & Samuel Kobina Annim & Raghav Gaiha & Veena S. Kulkarni, 2012. "Does Women's Empowerment Reduce Prevalence of Stunted and Underweight Children in Rural India?," Discussion Paper Series DP2012-11, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2012.
    2. Sweeney, Stuart & Davenport, Frank & Grace, Kathryn, 2013. "Combining insights from quantile and ordinal regression: Child malnutrition in Guatemala," Economics & Human Biology, Elsevier, vol. 11(2), pages 164-177.
    3. Gloria Essilfie & Joshua Sebu & Samuel Kobina Annim, 2020. "Women's empowerment and child health outcomes in Ghana," African Development Review, African Development Bank, vol. 32(2), pages 200-215, June.
    4. G. Naline & Brinda Viswanathan, 2016. "Revisiting the Determinants of Child Anthropometric Indicators in India Using Seemingly Unrelated Regressions Model," Working Papers 2016-143, Madras School of Economics,Chennai,India.
    5. Imai, Katsushi S. & Annim, Samuel Kobina & Kulkarni, Veena S. & Gaiha, Raghav, 2014. "Women’s Empowerment and Prevalence of Stunted and Underweight Children in Rural India," World Development, Elsevier, vol. 62(C), pages 88-105.
    6. Cavatorta, Elisa & Shankar, Bhavani & Flores-Martinez, Artemisa, 2015. "Explaining Cross-State Disparities in Child Nutrition in Rural India," World Development, Elsevier, vol. 76(C), pages 216-237.
    7. Drescher, Larissa S. & Goddard, Ellen W., 2011. "Heterogeneous Demand for Food Diversity: A Quantile Regression Analysis," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114484, German Association of Agricultural Economists (GEWISOLA).

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    Keywords

    Food Consumption/Nutrition/Food Safety; International Development;

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