IDEAS home Printed from https://ideas.repec.org/p/ias/cpaper/02-wp307.html
   My bibliography  Save this paper

Statistical Considerations for the USDA Food Insecurity Index

Author

Listed:
  • Jean D. Opsomer
  • Helen H. Jensen
  • Sarah M. Nusser
  • Dorin Drignei
  • Yasuo Amemiya

Abstract

This paper reviews the statistical properties of the model used to obtain estimates of the prevalence and severity of poverty-linked food insecurity and hunger in the United States. The U.S. Department of Agriculture has annually sponsored data collection efforts to obtain information on food insecurity and hunger since 1995. The assessment of household food insecurity is based on a one-parameter logistic item response model, also referred to as a Rasch model, and applied to a series of 18 questions reported in the Current Population Survey Food Security Module. The paper was used as the basis for discussions concerning future directions of research on the food insecurity measure. This report was originally released in July 1999.

Suggested Citation

  • Jean D. Opsomer & Helen H. Jensen & Sarah M. Nusser & Dorin Drignei & Yasuo Amemiya, 2002. "Statistical Considerations for the USDA Food Insecurity Index," Center for Agricultural and Rural Development (CARD) Publications 02-wp307, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:02-wp307
    as

    Download full text from publisher

    File URL: https://www.card.iastate.edu/products/publications/pdf/02wp307.pdf
    File Function: Full Text
    Download Restriction: no
    File URL: https://www.card.iastate.edu/products/publications/synopsis/?p=372
    File Function: Online Synopsis
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian A. Gregory, 2020. "Are We Underestimating Food Insecurity? Partial Identification with a Bayesian 4-Parameter IRT Model," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 632-655, October.
    2. Huffman, Sonya Kostova & Jensen, Helen H., 2003. "Do Food Assistance Programs Improve Household Food Security?: Recent Evidence From The United States," 2003 Annual meeting, July 27-30, Montreal, Canada 22219, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Johnson, Matthew S., 2007. "Modeling dichotomous item responses with free-knot splines," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4178-4192, May.

    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:ias:cpaper:02-wp307. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/caiasus.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.