Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach
Ariun Ishdorj, Helen H. Jensen, Justin Tobias
July 2007 [07-WP 452]
Suggested citation:
Ishdorj, A., H.H. Jensen, and J. Tobias. 2007. "Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach." Working paper 07-WP 452. Center for Agricultural and Rural Development, Iowa State University.
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.
Keywords: nutrition, WIC, Bayesian econometrics, treatment-response.