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The Food Assistance National Input-Output Multiplier (FANIOM) Model and Stimulus Effects of SNAP

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  • Hanson, Kenneth

Abstract

USDA's Economic Research Service uses the Food Assistance National Input-Output Multiplier (FANIOM) model to represent and measure linkages between USDA's domestic food assistance programs, agriculture, and the U.S. economy. This report describes the data sources and the underlying assumptions and structure of the FANIOM model and illustrates its use to estimate the multiplier effects from benefits issued under the Supplemental Nutrition Assistance Program (SNAP, formerly the Food Stamp Program). During an economic downturn, an increase in SNAP benefits provides a fiscal stimulus to the economy through a multiplier process. The report also examines the different types of multipliers for different economic variables that are estimated by input-output multiplier and macroeconomic models and considers alternative estimates of the jobs impact. FANIOM's GDP multiplier of 1.79 for SNAP benefits is comparable with multipliers from some macroeconomic models.

Suggested Citation

  • Hanson, Kenneth, 2010. "The Food Assistance National Input-Output Multiplier (FANIOM) Model and Stimulus Effects of SNAP," Economic Research Report 262247, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uersrr:262247
    DOI: 10.22004/ag.econ.262247
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    Citations

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    Cited by:

    1. Kinsey, Jean D., 2013. "The economics of federal food programs: Weighing the costs and benefits," C-FARE Reports 156193, Council on Food, Agricultural, and Resource Economics (C-FARE).
    2. Ronette Briefel & Ann Collins & Anne Wolf, 2013. "Impact of the Summer Electronic Benefits Transfer for Children (SEBTC) Demonstration on Children's Nutritional Status," Mathematica Policy Research Reports 70b9a2885872491fbd95042a8, Mathematica Policy Research.
    3. Prell, Mark A. & Finifter, David H., 2013. "Participation in the Supplemental Nutrition Assistance Program (SNAP) and Unemployment Insurance How Tight Are the Strands of the Recessionary Safety Net?," Economic Research Report 160453, United States Department of Agriculture, Economic Research Service.
    4. Reimer, Jeffrey J. & Weerasooriya, Senal & West, Tyler T., 2015. "How Does the Supplemental Nutrition Assistance Program Affect the U.S. Economy?," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(3), pages 1-20, December.
    5. Todd, Jessica E. & Gregory, Christian, 2018. "Changes in Supplemental Nutrition Assistance Program real benefits and daily caloric intake among adults," Food Policy, Elsevier, vol. 79(C), pages 111-120.
    6. Finifter, David H. & Prell, Mark A., 2013. "Participation in SNAP and Unemployment Insurance: How Tight Are the Strands of the Recessionary Safety Net?," Economic Research Report 262216, United States Department of Agriculture, Economic Research Service.
    7. Klerman, Jacob Alex & Bartlett, Susan & Wilde, Parke & Olsho, Lauren, 2013. "The Healthy Incentives Pilot and Fruit and Vegetable Intake: Interim Results," 2014 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2014, Philadelphia, PA 161655, Agricultural and Applied Economics Association.
    8. Anne Peterson & Brittany McGill & Betsy Thorn & Brian Estes & Carole Trippe & Bryan Johnson & Ellen Thompson & Errol Baker & Jonathan Ladinsky & Gretchen Rowe, "undated". "Assessing the Feasibility of Implementing SNAP in the Commonwealth of the Northern Mariana Islands," Mathematica Policy Research Reports b383658102c7435e900af4b7f, Mathematica Policy Research.
    9. Suttles, Shellye A. & Babb, Angela & Knudsen, Daniel, 2022. "Submitted and Denied: Understanding Variation in Case Status Across Supplemental Nutrition Assistance Program (SNAP) Applications," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322195, Agricultural and Applied Economics Association.
    10. West, Tyler T. & Reimer, Jeffrey J., 2013. "Household and Intersectoral Effects of Reduced SNAP Expenditures: A Computable General Equilibrium Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150410, Agricultural and Applied Economics Association.
    11. Pender, John & Jo, Young & Miller, Cristina, 2015. "Economic Impacts of Supplemental Nutrition Assistance Program Payments in Nonmetro vs. Metro Counties," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205626, Agricultural and Applied Economics Association.
    12. Pankaj C. Patel & Cornelius A. Rietveld & Jack I. Richter, 2022. "The relation between public assistance and self-employment in census tracts: a long-term perspective," Journal of Evolutionary Economics, Springer, vol. 32(3), pages 891-927, July.
    13. repec:mpr:mprres:7963 is not listed on IDEAS
    14. Leslie Hossfeld & Laura Jean Kerr & Judy Belue, 2019. "The Good Food Revolution: Building Community Resiliency in the Mississippi Delta," Social Sciences, MDPI, vol. 8(2), pages 1-10, February.
    15. Oliveira, Victor & Prell, Mark & Tiehen, Laura & Smallwood, David, 2018. "Design Issues in USDA’s Supplemental Nutrition Assistance Program: Looking Ahead by Looking Back," Economic Research Report 276253, United States Department of Agriculture, Economic Research Service.
    16. Jacob Alex Klerman & Anne Wolf & Ann Collins & Stephen Bell & Ronette Briefel, 2017. "The Effects the Summer Electronic Benefits Transfer for Children Demonstration has on Children’s Food Security," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(3), pages 516-532.
    17. repec:ags:afjare:225656 is not listed on IDEAS
    18. Paul A. Lewin & Bruce A. Weber, 2020. "Distributional impacts of food assistance: How SNAP payments to the rural poor affect incomes in the urban core," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1281-1300, October.

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