Does School Lunch Fill the “SNAP Gap” at the End of the Month?

Laurito, Agustina; Schwartz, Amy Ellen

doi:10.3386/w25486

Cited by 4 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Laurito and Schwartz () also consider the SNAP cycle. They see whether two other large food assistance programs—the NSLP and the SBP—help smooth consumption at the end of the SNAP benefit month.…”

Section: Articles In the Symposiummentioning

confidence: 99%

See 1 more Smart Citation

Food Access, Program Participation, and Health: Research Using FoodAPS

Bitler

Gregory

2019

Southern Economic Journal

View full text Add to dashboard Cite

This piece is an introduction to the symposium on Food Access, Program Participation, and Health: Research using FoodAPS. The symposium includes articles presented at the National Bureau of Economic Research Conference on Food Security on December 7 and 8, 2017. The research herein was supported by the Economic Research Service of the U.S. Department of Agriculture, grant number 59‐5000‐5‐0115. The grant included funding to study the effects of various food assistance programs on outcomes, using data from the National Household Food Acquisition and Purchase Survey (FoodAPS). We describe the programs and the FoodAPS data, and point out highlights from the articles.

show abstract

Section: Articles In the Symposiummentioning

confidence: 99%

“…There is suggestive evidence that the SNAP cycle is more pronounced for workers paid on a monthly or weekly basis. Laurito and Schwartz (2019) also consider the SNAP cycle. They see whether two other large food assistance programs-the NSLP and the SBP-help smooth consumption at the end of the SNAP benefit month.…”

Section: Snap Cyclementioning

confidence: 99%

Food Access, Program Participation, and Health: Research Using FoodAPS

Bitler

Gregory

2019

Southern Economic Journal

View full text Add to dashboard Cite

show abstract

Estimating Monthly Poverty Rates in the United States

Parolin¹,

Curran²,

Matsudaira³

et al. 2022

J Policy Anal Manage

View full text Add to dashboard Cite

Official poverty estimates for the United States are presented annually, based on a family unit's annual resources, and reported with a considerable lag. This study introduces a framework to produce monthly estimates of the Supplemental Poverty Measure and official poverty measure, based on a family unit's monthly income, and with a two‐week lag. We argue that a shorter accounting period and more timely estimates of poverty better account for intra‐year income volatility and better inform the public of current economic conditions. Our framework uses two versions of the Current Population Survey to estimate monthly poverty while accounting for changes in policy, demographic composition, and labor market characteristics. Validation tests demonstrate that our monthly poverty estimates closely align with observed trends in the Survey of Income & Program Participation from 2004 to 2016 and trends in hardship during the COVID‐19 pandemic. We apply the framework to measure trends in monthly poverty from January 1994 through September 2021. Monthly poverty rates generally declined in the 1990s, increased throughout the 2000s, and declined after the Great Recession through the onset of the COVID‐19 pandemic. Within‐year variation in monthly poverty rates, however, has generally increased. Among families with children, within‐year variation in monthly poverty rates is comparable to between‐year variation, largely due to the average family with children receiving 37 percent of its annual income transfers in a single month through one‐time tax credit payments. Moving forward, researchers can apply our framework to produce monthly poverty rates whenever more timely estimates are desired.

show abstract