IDEAS home Printed from https://ideas.repec.org/h/eme/aecozz/s0731-9053(08)23005-7.html
   My bibliography  Save this book chapter

Intra-household allocation and consumption of WIC-approved foods: A Bayesian approach

In: Bayesian Econometrics

Author

Listed:
  • Ariun Ishdorj
  • Helen H. Jensen
  • Justin Tobias

Abstract

WIC, the Special Supplemental Nutrition Program for Women, Infants, and Children, is a widely studied public food assistance program that aims to provide foods, nutrition education, and other services to at-risk, low-income children and pregnant, breastfeeding, and postpartum women. From a policy perspective, it is of interest to assess the efficacy of the WIC program – how much, if at all, does the program improve the nutritional outcomes of WIC families? In this paper, we address two important issues related to the WIC program that have not been extensively addressed in the past. First, although the WIC program is primarily devised with the intent of improving the nutrition of “targeted” children and mothers, it is possible that WIC may also change the consumption of foods by nontargeted individuals within the household. Second, although WIC eligibility status is predetermined, participation in the program is voluntary and therefore potentially endogenous. We make use of a treatment–response model in which the dependent variable is the requirement-adjusted calcium intake from milk consumption and the endogenous variable is WIC participation, and estimate it using Bayesian methods. Using data from the CSFII 1994–1996, we find that the correlation between the errors of our two equations is strong and positive, suggesting that families participating in WIC have an unobserved propensity for high calcium intake. The direct “structural” WIC parameters, however, do not support the idea that WIC participation leads to increased levels of calcium intake from milk.

Suggested Citation

  • Ariun Ishdorj & Helen H. Jensen & Justin Tobias, 2008. "Intra-household allocation and consumption of WIC-approved foods: A Bayesian approach," Advances in Econometrics, in: Bayesian Econometrics, pages 157-182, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:aecozz:s0731-9053(08)23005-7
    DOI: 10.1016/S0731-9053(08)23005-7
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1016/S0731-9053(08)23005-7/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1016/S0731-9053(08)23005-7/full/epub?utm_source=repec&utm_medium=feed&utm_campaign=repec&title=10.1016/S0731-9053(08)23005-7
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1016/S0731-9053(08)23005-7/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1016/S0731-9053(08)23005-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eme:aecozz:s0731-9053(08)23005-7. 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: Emerald Support (email available below). General contact details of provider: .

    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.