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Who Benefits Most from SNAP? A Study of Food Security and Food Spending

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  • Partha Deb
  • Christian A. Gregory

Abstract

We study the effects of SNAP participation on food insecurity and food spending using finite mixture models that allow for a priori unspecified heterogeneous effects. We identify a low food security subgroup comprising a third of the population for whom SNAP participation increases the probability of high food security by 20-30 percentage points. There is no affect of SNAP on the remaining two-thirds of the population. SNAP increases food spending in the previous week by $50-$65 for a low modal spending subgroup comprising two-thirds of the population, with no effect for the remaining third of the population.

Suggested Citation

  • Partha Deb & Christian A. Gregory, 2016. "Who Benefits Most from SNAP? A Study of Food Security and Food Spending," NBER Working Papers 22977, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:22977
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    1. Hilary W. Hoynes & Diane Whitmore Schanzenbach, 2009. "Consumption Responses to In-Kind Transfers: Evidence from the Introduction of the Food Stamp Program," American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 109-139, October.
    2. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    3. Richard A. DePolt & Robert A. Moffitt & David C. Ribar, 2009. "Food Stamps, Temporary Assistance For Needy Families And Food Hardships In Three American Cities," Pacific Economic Review, Wiley Blackwell, vol. 14(4), pages 445-473, October.
    4. Barrett, Christopher B., 2002. "Food security and food assistance programs," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 2, chapter 40, pages 2103-2190, Elsevier.
    5. Steven B. Caudill & Daniel M. Gropper & Valentina Hartarska, 2009. "Which Microfinance Institutions Are Becoming More Cost Effective with Time? Evidence from a Mixture Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 651-672, June.
    6. Elton Mykerezi & Bradford Mills, 2010. "The Impact of Food Stamp Program Participation on Household Food Insecurity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1379-1391.
    7. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 655-679.
    8. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    9. Arie Kapteyn & Peter Kooreman & Rob Willemse, 1988. "Some Methodological Issues in the Implementation of Subjective Poverty Definitions," Journal of Human Resources, University of Wisconsin Press, vol. 23(2), pages 222-242.
    10. Timothy K.M. Beatty & Charlotte J. Tuttle, 2015. "Expenditure Response to Increases in In-Kind Transfers: Evidence from the Supplemental Nutrition Assistance Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 390-404.
    11. Moffitt, Robert, 1989. "Estimating the Value of an In-Kind Transfer: The Case of Food Stamps," Econometrica, Econometric Society, vol. 57(2), pages 385-409, March.
    12. Deb, Partha & Gallo, William T. & Ayyagari, Padmaja & Fletcher, Jason M. & Sindelar, Jody L., 2011. "The effect of job loss on overweight and drinking," Journal of Health Economics, Elsevier, vol. 30(2), pages 317-327, March.
    13. Chad D. Meyerhoefer & Muzhe Yang, 2011. "The Relationship between Food Assistance and Health: A Review of the Literature and Empirical Strategies for Identifying Program Effects," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 304-344.
    14. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    15. Bettina Grün & Friedrich Leisch, 2008. "Identifiability of Finite Mixtures of Multinomial Logit Models with Varying and Fixed Effects," Journal of Classification, Springer;The Classification Society, vol. 25(2), pages 225-247, November.
    16. Peter Ganong & Jeffrey B. Liebman, 2018. "The Decline, Rebound, and Further Rise in SNAP Enrollment: Disentangling Business Cycle Fluctuations and Policy Changes," American Economic Journal: Economic Policy, American Economic Association, vol. 10(4), pages 153-176, November.
    17. Steven T. Yen & Margaret Andrews & Zhuo Chen & David B. Eastwood, 2008. "Food Stamp Program Participation and Food Insecurity: An Instrumental Variables Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(1), pages 117-132.
    18. Padmaja Ayyagari & Partha Deb & Jason Fletcher & William Gallo & Jody L. Sindelar, 2013. "Understanding Heterogeneity In Price Elasticities In The Demand For Alcohol For Older Individuals," Health Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 89-105, January.
    19. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
    20. Whitney K. Newey & James L. Powell & Francis Vella, 1999. "Nonparametric Estimation of Triangular Simultaneous Equations Models," Econometrica, Econometric Society, vol. 67(3), pages 565-604, May.
    21. Wilde, Parke E. & Troy, Lisa M. & Rogers, Beatrice L., 2008. "AJAE Appendix for “Food Stamps and Food Spending: an Engel Function Approach”," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(2), pages 1-9, June.
    22. Adrian Bruhin & Helga Fehr-Duda & Thomas Epper, 2010. "Risk and Rationality: Uncovering Heterogeneity in Probability Distortion," Econometrica, Econometric Society, vol. 78(4), pages 1375-1412, July.
    23. Coleman-Jensen, Alisha & Rabbitt, Matthew P. & Gregory, Christian & Singh, Anita, 2015. "Household Food Security in the United States in 2014," Economic Research Report 262204, United States Department of Agriculture, Economic Research Service.
    24. Nord, Mark & Prell, Mark, 2011. "Food Security Improved Following the 2009 ARRA Increase in SNAP Benefits," Economic Research Report 262242, United States Department of Agriculture, Economic Research Service.
    25. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    26. J. William Levedahl, 1995. "A Theoretical and Empirical Evaluation of the Functional Forms Used to Estimate the Food Expenditure Equation of Food Stamp Recipients," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 960-968.
    27. Ariun Ishdorj & Lindsey Higgins, 2015. "Children¡¯s Food Security and Participation in the National School Lunch Program," Applied Economics and Finance, Redfame publishing, vol. 2(1), pages 119-128, February.
    28. Wedel, M, et al, 1993. "A Latent Class Poisson Regression Model for Heterogeneous Count Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 397-411, Oct.-Dec..
    29. Lindrooth, Richard C. & Weisbrod, Burton A., 2007. "Do religious nonprofit and for-profit organizations respond differently to financial incentives? The hospice industry," Journal of Health Economics, Elsevier, vol. 26(2), pages 342-357, March.
    30. Coleman-Jensen, Alisha & Nord, Mark, 2013. "Food Insecurity Among Households With Working-Age Adults With Disabilities," Economic Research Report 142955, United States Department of Agriculture, Economic Research Service.
    31. Caroline Ratcliffe & Signe-Mary McKernan & Sisi Zhang, 2011. "How Much Does the Supplemental Nutrition Assistance Program Reduce Food Insecurity?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 1082-1098.
    32. Coleman-Jensen, Alisha & Gregory, Christian & Singh, Anita, 2014. "Household Food Security in the United States in 2013," Economic Research Report 183589, United States Department of Agriculture, Economic Research Service.
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    3. Rasmane Ouedraogo & Windemanegda Sandrine Sourouema & Hamidou Sawadogo, 2021. "Aid, growth and institutions in Sub‐Saharan Africa: New insights using a multiple growth regime approach," The World Economy, Wiley Blackwell, vol. 44(1), pages 107-142, January.

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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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