IDEAS home Printed from https://ideas.repec.org/p/cde/cdewps/247.html
   My bibliography  Save this paper

Utilization Of Icds Services And Their Impact On Child Health Outcomes - Evidence From Three East Indian States

Author

Listed:
  • Nitya Mittal and J V Meenakshi

    (Centre for Development Economics, Delhi School of Economics, University of Delhi, India)

Abstract

The study analyses a rural household’s decision to participate in a public pre-school intervention called the Integrated Child Development Scheme (ICDS), and evaluates its impact on anthropometric outcomes of children in three Indian states, namely Bihar, Jharkhand and Orissa in the year 2012. Using multinomial logistic models, we find that access costs, defined both in physical (distance) and social (caste) terms, are the main drivers of ICDS utilization. We also estimate the impact of utilization of one or more of the multiple services offered by the ICDS on anthropometric outcomes, by using matching methods. Our results suggest that conditional on utilization, compared to singleton services, utilization of multiple services translates into larger increase in weight-for-age z-scores. Participation in all the services of the ICDS program leads to a 13 percentage points lower prevalence of underweight children. Given the evidence that relatively greater emphasis is placed on the supplementary nutrition component of the program, these results are not surprising.

Suggested Citation

  • Nitya Mittal and J V Meenakshi, 2015. "Utilization Of Icds Services And Their Impact On Child Health Outcomes - Evidence From Three East Indian States," Working papers 247, Centre for Development Economics, Delhi School of Economics.
  • Handle: RePEc:cde:cdewps:247
    as

    Download full text from publisher

    File URL: http://www.cdedse.org/pdf/work247.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    2. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1.
    3. Jere R. Behrman & Yingmei Cheng & Petra E. Todd, 2004. "Evaluating Preschool Programs When Length of Exposure to the Program Varies: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 108-132, February.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, December.
    5. Howard White & Edoardo Masset, 2007. "Assessing interventions to improve child nutrition: a theory-based impact evaluation of the Bangladesh Integrated Nutrition Project," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(5), pages 627-652.
    6. Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
    7. Pitt, Mark M & Rosenzweig, Mark R, 1985. "Health and Nutrient Consumption across and within Farm Households," The Review of Economics and Statistics, MIT Press, vol. 67(2), pages 212-223, May.
    8. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    9. 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.
    10. 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.
    11. Jain, Monica, 2015. "India’s Struggle Against Malnutrition—Is the ICDS Program the Answer?," World Development, Elsevier, vol. 67(C), pages 72-89.
    12. United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) South and South-West (ed.), 2015. "India and the MDGs: Towards a Sustainable Future for All," SSWA Books and Research Reports, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) South and South-West Asia Office, number brr2.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nitya Mittal & Meenakshi J V, 2016. "Does the ICDS Improve the Quantity and Quality of Children’s Diets? Some Evidence from Rural Bihar," Working Papers id:11239, eSocialSciences.
    2. 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.
    3. Singh, Prakarsh & Masters, William A., 2017. "Impact of caregiver incentives on child health: Evidence from an experiment with Anganwadi workers in India," Journal of Health Economics, Elsevier, vol. 55(C), pages 219-231.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cde:cdewps:247. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sanjeev Sharma). General contact details of provider: http://edirc.repec.org/data/cdudein.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.