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Does the ICDS Improve the Quantity and Quality of Children’s Diets? Some Evidence from Rural Bihar

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  • Nitya Mittal

    (IMMANA)

  • J.V. Meenakshi

    (Department of Economics, Delhi School of Economics, University of Delhi, India)

Abstract

This study analyses the impact of supplementary nutrition provided through ICDS on intakes of calories, proteins, vitamin A and iron among young children in Bihar. The analysis is based on 24-hour dietary recall data collected for 320 children in four villages in rural Bihar in 2013, and uses matching methods to estimate impact. The results suggest that cooked meals, provided to children in the age-group 3-6 years, increase net intake of food by approximately 135 calories (about a third of the intended transfer), 6 grams of proteins (two-fifths of the intended transfer) and 2 grams of iron (half of the intended transfer), but there is no change in the net intake of vitamin A. There is also no evidence of any reduction in food allocated to these children at home. For children below 3 years of age, who receive take-home rations, there are no improvements in intakes of calories or any nutrients. Since the income elasticity of demand for calories and nutrients have been estimated to be of small magnitude, ex-ante there is no reason to expect the implicit ICDS income transfer to lead to substantial changes in intakes. That nonetheless, a significant positive effect is observed for children above 3 years suggests that parents view cooked meals differently than take-home rations, the latter being easier to allocate to other household members than cooked meals provided at the ICDS centre.

Suggested Citation

  • Nitya Mittal & J.V. Meenakshi, 2016. "Does the ICDS Improve the Quantity and Quality of Children’s Diets? Some Evidence from Rural Bihar," Working papers 257, Centre for Development Economics, Delhi School of Economics.
  • Handle: RePEc:cde:cdewps:257
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    1. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    2. Jacoby, Hanan, 1997. "Is there an intrahousehold 'flypaper effect'?: evidence from a school feeding program," FCND discussion papers 31, International Food Policy Research Institute (IFPRI).
    3. Jayanta Bhattacharya & Janet Currie & Steven J. Haider, 2006. "Breakfast of Champions?: The School Breakfast Program and the Nutrition of Children and Families," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    4. Afridi, Farzana, 2010. "Child welfare programs and child nutrition: Evidence from a mandated school meal program in India," Journal of Development Economics, Elsevier, vol. 92(2), pages 152-165, July.
    5. Meenakshi J V, 2015. "Utilization of ICDS Services and their Impact on Child Health Outcomes Evidence from Three East Indian States," Working Papers id:7646, eSocialSciences.
    6. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    7. Carlo Del Ninno & Paul Dorosh, 2003. "Impacts of in-kind transfers on household food consumption: Evidence from targeted food programmes in Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 40(1), pages 48-78.
    8. 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.
    9. Jain, Monica, 2015. "India’s Struggle Against Malnutrition—Is the ICDS Program the Answer?," World Development, Elsevier, vol. 67(C), pages 72-89.
    10. Nilanjana Roy, 2001. "A semiparametric analysis of calorie response to income change across income groups and gender," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 10(1), pages 93-109.
    11. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    12. Food and Agriculture Organization, 2015. "The State of Food Insecurity in the World Meeting the 2015 International Hunger Targets: Taking Stock of Uneven Progress," Working Papers id:7595, eSocialSciences.
    13. Hanan G. Jacoby, 2002. "Is There an Intrahousehold "Flypaper Effect"? Evidence From a School Feeding Programme," Economic Journal, Royal Economic Society, vol. 112(476), pages 196-221, January.
    14. Raghbendra Jha & Raghav Gaiha & Anurag Sharma, 2009. "Modelling variety in consumption expenditure on food in India," International Review of Applied Economics, Taylor & Francis Journals, vol. 23(4), pages 503-519.
    15. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    16. Kandpal, Eeshani, 2011. "Beyond Average Treatment Effects: Distribution of Child Nutrition Outcomes and Program Placement in India's ICDS," World Development, Elsevier, vol. 39(8), pages 1410-1421, August.
    17. Jere R. Behrman & Anil B. Deolalikar, 1990. "The Intrahousehold Demand for Nutrients in Rural South India: Individual Estimates, Fixed Effects, and Permanent Income," Journal of Human Resources, University of Wisconsin Press, vol. 25(4), pages 665-696.
    18. Peter Kooreman, 2000. "The Labeling Effect of a Child Benefit System," American Economic Review, American Economic Association, vol. 90(3), pages 571-583, June.
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