IDEAS home Printed from https://ideas.repec.org/p/rff/dpaper/dp-16-28.html
   My bibliography  Save this paper

Full title How Does Breastfeeding Affect IQ? Applying the Classical Model of Structured Expert Judgment

Author

Listed:
  • Colson, Abigail

    (Center for Disease Dynamics, Economics & Policy)

  • Cooke, Roger

    (Resources for the Future)

  • Lutter, Virginia

    (Resources for the Future)

Abstract

We use the classical model, a method for structured expert judgment (SEJ), to study the effects of breastfeeding on IQ. Data on the link between breastfeeding and IQ are available, e.g., the US National Longitudinal Study of Youth, however, questions about data quality and confounding mean properly interpreting the data is not straightforward, and expert opinions diverge regarding the efficacy of breastfeeding for enhancing IQ in Western cultures. In developing countries, differing demographics and social values combined with scarcity of data render structured expert judgment an attractive method to provide policymakers with quantitative information. We find that early breastfeeding generates most of the IQ gains from full compliance with World Health Organization guidelines, and IQ gains from breastfeeding may be larger in India than the United States.

Suggested Citation

  • Colson, Abigail & Cooke, Roger & Lutter, Virginia, 2016. "Full title How Does Breastfeeding Affect IQ? Applying the Classical Model of Structured Expert Judgment," RFF Working Paper Series dp-16-28, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-16-28
    as

    Download full text from publisher

    File URL: http://www.rff.org/RFF/documents/RFF-DP-16-28.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Roger M. Cooke & Harry Joe & Bo Chang, 2020. "Vine copula regression for observational studies," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 141-167, June.

    More about this item

    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:rff:dpaper:dp-16-28. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Resources for the Future (email available below). General contact details of provider: https://edirc.repec.org/data/rffffus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.