We study the effects of SNAP participation on food insecurity and food spending using finite mixture models that allow for a priori unspecified heterogeneous effects. We identify a low food security subgroup comprising a third of the population for whom SNAP participation increases the...

Recent research has shown that the Supplemental Nutrition Assistance Program (SNAP) is effective in reducing food insecurity. Questions remain, however, about whether SNAP also has any effects on the quality of low-income households’ diets. These questions have surfaced in the context of the...

In this study, we use a unique dataset designed by researchers at the University of Chicago and collected by Mathematica Policy Research to investigate whether there is a significant correlation between diet quality and time spent preparing food. Overall, our results indicate that, when...

While research establishing the link between high food prices and increased food insecurity in developing countries is robust, similar research about the United States has been lacking. This has been due in part to a lack of suitable price data, but it has also been due to the assumption that...

We propose a novel Bayesian Graded Response Model (BGRM) for food security measurement. Our BGRM has several attractive features. It produces continuous food security estimates and measures of estimation uncertainty at the household level. Unlike the USDA's official measurement model, the BGRM...