IDEAS home Printed from https://ideas.repec.org/a/ags/uersaw/341322.html
   My bibliography  Save this article

New Metric Gauges How Much SNAP Benefits Support Lowest-Income Households

Author

Listed:
  • Tiehan, Laura
  • Jolliffe, Dean
  • Margitic, Juan

Abstract

Researchers at USDA, Economic Research Service, the World Bank, and Georgetown University examined SNAP’s effectiveness at improving the well-being of the poorest U.S. households by raising their income levels. To accomplish this, the researchers developed a measure—the income floor— to represent the income level of the poorest household in a society. It may seem straightforward to use the lowest value of household income reported in a nationally representative survey as the measure of the income floor. However, there are pitfalls to using the minimum reported income level in household survey data to represent the income floor in a population. For example, households may not be able to accurately report their earnings, especially if they have jobs that are sporadic or informal. Therefore, rather than being based on the income level of a single household, the income floor is calculated as a weighted average of the incomes of all households living below the poverty line. To best estimate the lowest household income level, the weighted average gives increasingly more weight to households as their incomes approach the lowest reported income in the data.

Suggested Citation

  • Tiehan, Laura & Jolliffe, Dean & Margitic, Juan, 2024. "New Metric Gauges How Much SNAP Benefits Support Lowest-Income Households," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2024, April.
  • Handle: RePEc:ags:uersaw:341322
    DOI: 10.22004/ag.econ.341322
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/341322/files/New%20Metric%20Gauges%20How%20Much%20SNAP%20Benefits%20Support%20Lowest-Income%20Households.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.341322?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:uersaw:341322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.