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Document Type

Article

Abstract

Food insecurity is widespread in America and has both humanitarian and economic consequences. The purpose of this study is to identify the risk factors associated with food insecurity so that state officials can tailor assistance programs to benefit those most in need. A logistic regression model is employed using data from the 2016 Food Security Supplement to the Current Population Survey. The results provide evidence that food insecurity is negatively associated with income, education, home ownership, and age; it is positively associated with unemployment, disability, and a state’s tax burden. Other influences include ethnicity, citizenship status, and participation in nutrition assistance programs.

Publication Date

Spring 2018

Journal Title

Major Themes in Economics

Volume

20

Issue

1

First Page

49

Last Page

71

Copyright

©2018 by Major Themes in Economics

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Language

EN

File Format

application/pdf

Included in

Economics Commons

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