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Measuring the Effect of Supplemental Nutrition Assistance Program Participation on Food Insecurity Using a Behavioral Rasch Selection Model

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  • Rabbitt, Matthew P.

    (University of North Carolina at Greensboro, Department of Economics)

Abstract

This paper examines the relationship between Supplemental Nutrition Assistance Program (SNAP) participation and food insecurity using data from the 2001-2008 Current Population Survey Food Security Supplement (CPS-FSS). A behavioral Rasch selection model is proposed and estimated using four subsamples of low-income households: unmarried parent households, married parent households, all-elderly households, and other adult-only households. The model is identified using exogenous changes in state-level polices related to SNAP. The results indicate that SNAP has a strong ameliorative effect on food insecurity for married parent, all-elderly, and other adult-only households, while SNAP continues to be associated with greater food hardships for unmarried parent households. Participating in SNAP reduces the probability of food insecurity by 22.4 percent for other adult-only households, 18 percent for all-elderly households, and 17 percent for married parent households.

Suggested Citation

  • Rabbitt, Matthew P., 2013. "Measuring the Effect of Supplemental Nutrition Assistance Program Participation on Food Insecurity Using a Behavioral Rasch Selection Model," UNCG Economics Working Papers 13-20, University of North Carolina at Greensboro, Department of Economics.
    • Handle: RePEc:ris:uncgec:2013_020
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    References listed on IDEAS

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    Cited by:

    1. Victoria T. Tanaka & George Engelhard & Matthew P. Rabbitt, 2020. "Using a Bifactor Model to Measure Food Insecurity in Households with Children," Journal of Family and Economic Issues, Springer, vol. 41(3), pages 492-504, September.

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    More about this item

    Keywords

    Food insecurity; SNAP; Dummy endogenous variable models;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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