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A Spatial Analysis of Supplemental Nutrition Assistance Program and Economic Conditions in the Applachian Region

Author

Listed:
  • Nyakundi Michieka

    (Division of Resource Management, West Virginia University)

  • Archana Pradhan

    (Division of Resource Management, West Virginia University)

  • Tesfa Gebremedhin

    (Division of Resource Management, West Virginia University)

Abstract

Supplemental Nutrition Assistance Program (SNAP) helps low income people and families buy food they need for good health. The main objective of this study is to examine the effects of changes in the economic conditions and welfare on SNAP participation in the Appalachian region. The study employs county level data to capture variation in SNAP participation. Spatial econometric models are developed to examine the relationship among the economic and business cycle conditions, changes in welfare reforms, demographic and household attributes, institutional factors, and SNAP participation. The findings from this study could be helpful in improving welfare programs in this region.

Suggested Citation

  • Nyakundi Michieka & Archana Pradhan & Tesfa Gebremedhin, 2010. "A Spatial Analysis of Supplemental Nutrition Assistance Program and Economic Conditions in the Applachian Region," Working Papers Working Paper 2010-08, Regional Research Institute, West Virginia University.
    • Handle: RePEc:rri:wpaper:2010wp08
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    File URL: https://researchrepository.wvu.edu/rri_pubs/44/
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    References listed on IDEAS

    as
    1. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
    2. Karen E. Cunnyngham, "undated". "Reaching Those in Need: State Supplemental Nutrition Assistance Program Participation Rates in 2009," Mathematica Policy Research Reports f7c548f7481e44c598a7a4f6c, Mathematica Policy Research.
    3. Karen E. Cunnyngham, "undated". "Reaching Those in Need: State Supplemental Nutrition Assistance Program Participation Rates in 2010," Mathematica Policy Research Reports 53f19dadfd8c4b80ac3b6fd51, Mathematica Policy Research.
    4. repec:mpr:mprres:3862 is not listed on IDEAS
    5. Allen L. Schirm, 2001. "Reaching Those in Need: State Food Stamp Participation Rates in 1998," Mathematica Policy Research Reports fb914ee5d37b4aaa9ed9f169e, Mathematica Policy Research.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    supplemental nutrition assistance program; snap; spatial econometric model; appalachia;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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

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