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A well-known feature of the Supplemental Nutrition Assistance Program (SNAP) is that some recipients spend a disproportionate amount of their monthly benefit early in the month. Using a finite mixture model that optimally separates households into two groups, coupled with the National Household Food Acquisition and Purchase Survey, we re-examine this spending pattern. Results show that a minority of SNAP recipients cause the benefit cycle by spending, on average, two-thirds of their monthly benefit within the first four days. A potential implication of these findings is that more frequent SNAP benefit disbursal or educational programs designed to encourage smoother spending over the month might be of benefit to some SNAP households.

The Supplemental Nutrition Assistance Program (SNAP) is the largest nutritional safety net in the United States. Prior research has found that participants have higher consumption shortly after receiving their benefits, followed by lower consumption towards the end of the benefit month. Known as the \"SNAP benefit cycle,\" this consumption pattern has been found to have negative effects on beneficiaries. We hypothesize two behavioral responses of SNAP participants may work in tandem to drive much of the cycle: (1) short-run impatience—a higher preference to consume today, and (2) fungibility of income—the degree of substitutability between a SNAP dollar and a cash dollar. Using data from the National Food Acquisition and Purchase Survey (FoodAPS), a newly developed nationally representative survey of daily food acquisitions by SNAP households, we find evidence of both behavioral responses. However, the degree of short-run impatience and fungibility of income is found to differ significantly across poverty levels and use of grocery lists to plan food purchases. SNAP households could gain from food purchase planning education.

The Great Recession has been distinctive in driving up unprecedented levels of participation in the Supplemental Nutrition Assistance Program (SNAP). This study extends the literature on the geography of SNAP receipt by (1) examining change in SNAP receipt across US counties during the Great Recession and (2) identifying how changes in other local characteristics were associated with this outcome. Our analysis draws on data from the US Department of Agriculture and other secondary sources. We use descriptive statistics, mapping, and weighted least squares spatial regression models to examine county-level variation (N = 2,485) in the percentage-point change in SNAP receipt between 2007 and 2009. Our findings reveal substantial local-level variation in the change in SNAP stamp use during the downturn. We find that counties with the greatest levels of change in SNAP participation tend to be regionally clustered. Our regression analysis shows that areas where the signature characteristics of the Great Recession were most pronounced (i.e., home foreclosures and unemployment) were precisely the places where SNAP use jumped most, not places with historically high levels of SNAP participation. Overall, this study demonstrates that change in SNAP receipt was geographically uneven during the Great Recession, and that local and regional configurations matter in shaping this variation. These results hold a range of implications for public policy, including opportunities for regionally targeted outreach and investment in SNAP and the use of the program as a responsive form of local stimulus during periods of economic crisis.