Distributional Impacts of WIC on Child Dietary Quality: Evidence from a Regression Discontinuity Design
Discussant: Chelsea J. Crain
In this study, we use an empirical strategy that allows us to make causal inferences pertaining to the impact of WIC on child dietary quality, as quantified by the Healthy Eating Index (HEI). According to federal WIC eligibility criteria, children can remain on WIC up to their fifth birthday. Using a regression discontinuity design (RDD), we exploit this age-related discontinuity in WIC participation and estimate changes in diet quality of children as they become age-ineligible for WIC. Like previous studies using alternative identification strategies, we find little impact of WIC on the average quality of diets.
When then ask, does WIC affect children who are prone to low-quality diets (perhaps due to parental or environmental factors) differently than those who are prone to higher-quality diets? That is, we take a distributional approach and allow for heterogeneous outcomes. Specifically, we use a fuzzy RDD within a quantile regression framework to estimate the impact of aging out of WIC at different points in the dietary quality distribution. Our data are drawn from the continuous waves of the National Health and Nutrition Examination Survey (NHANES), covering 1999-2014. Preliminary analysis indicates that the impacts of becoming age-ineligible for WIC are more detrimental for children falling in the lowest portion of diet quality distribution. This is a policy-relevant finding because WIC appears to have the largest benefits for children prone to the lowest quality diets.