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Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach

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Author Info
Ariun Ishdorj
Helen H. Jensen () (Center for Agricultural and Rural Development (CARD))
Justin Tobias

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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 "target" children and mothers, it is possible that WIC may also change the consumption of foods by non-targeted 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 triangular 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 consumption. The direct "structural" WIC parameters, however, do not support the idea that WIC participation leads to increased levels of calcium consumption from milk.

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Publisher Info
Paper provided by Center for Agricultural and Rural Development (CARD) at Iowa State University in its series Center for Agricultural and Rural Development (CARD) Publications with number 07-wp452.

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Date of creation: Jul 2007
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Handle: RePEc:ias:cpaper:07-wp452

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Related research
Keywords: nutrition WIC Bayesian econometrics treatment-response.

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This paper has been announced in the following NEP Reports: References listed on IDEAS
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  1. Poirier, Dale J & Tobias, Justin, 2004. "On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter," Staff General Research Papers 12014, Iowa State University, Department of Economics.
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  2. Poirier, Dale J & Tobias, Justin L, 2003. "On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(2), pages 258-68, April.
  3. Chib, Siddhartha & Hamilton, Barton H., 2002. "Semiparametric Bayes analysis of longitudinal data treatment models," Journal of Econometrics, Elsevier, vol. 110(1), pages 67-89, September. [Downloadable!] (restricted)
  4. Chib, Siddhartha & Hamilton, Barton H., 2000. "Bayesian analysis of cross-section and clustered data treatment models," Journal of Econometrics, Elsevier, vol. 97(1), pages 25-50, July. [Downloadable!] (restricted)
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