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Abstract

This paper employs new Food Guide Pyramid servings data to measure how food intake is affected by income, food stamps, and WIC. The analysis uses a maximum likelihood estimator that combines the seemingly unrelated regression and one-way error component models, to account for two types of intra-household correlations. The empirical results show that participation in the Food Stamp Program leads to higher intakes of meats, dairy group servings, added sugars, and total fats. Participation in the WIC program leads to diets with decreased intakes of added sugars. Additionally, the estimation of intake correlations across household members and across food groups, provides a tool that can help guide nutrition education efforts.

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