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The distributional impact of SNAP on dietary quality

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  • Jinglin Feng
  • Linlin Fan
  • Edward C. Jaenicke

Abstract

The Supplemental Nutrition Assistance Program (SNAP) is the nation's largest domestic food and nutrition assistance program for low‐income Americans. Recent studies that examined the effect of SNAP on dietary quality focus on the average effects. Using the USDA's 2012 National Household Food Acquisition and Purchase Survey (FoodAPS) and an unconditional quantile estimator, we examine the distributional impacts of SNAP on dietary quality as measured by Healthy Eating Index‐2010 (HEI‐2010). To identify the differential impacts of SNAP across the distribution of dietary quality, we exploit exogenous variation in state's maximum weekly unemployment insurance benefits and state outreach spending per capita as instrumental variables. We find that SNAP has no significant impact on households’ dietary quality on average. However, for households with initially low‐to‐intermediate dietary quality, SNAP participation reduces their HEI scores by over 17% or more than 7 points out of a total score of 100. The negative impacts of SNAP on these HEI quantiles are mainly driven by an increased acquisition of empty calories.

Suggested Citation

  • Jinglin Feng & Linlin Fan & Edward C. Jaenicke, 2024. "The distributional impact of SNAP on dietary quality," Agricultural Economics, International Association of Agricultural Economists, vol. 55(1), pages 104-139, January.
    • Handle: RePEc:bla:agecon:v:55:y:2024:i:1:p:104-139
    DOI: 10.1111/agec.12808
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    1. Jacob Alex Klerman & Caroline Danielson, 2011. "The transformation of the Supplemental Nutrition Assistance Program," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 30(4), pages 863-888, September.
    2. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    3. Justine Hastings & Jesse M. Shapiro, 2018. "How Are SNAP Benefits Spent? Evidence from a Retail Panel," American Economic Review, American Economic Association, vol. 108(12), pages 3493-3540, December.
    4. Reich, Michael & West, Rachel, 2015. "The Effects of Minimum Wages on Food Stamp Enrollment and Expenditures," Institute for Research on Labor and Employment, Working Paper Series qt0wh9z8x4, Institute of Industrial Relations, UC Berkeley.
    5. Charles Courtemanche & Augustine Denteh & Rusty Tchernis, 2019. "Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 202-228, July.
    6. Elira Kuka, 2020. "Quantifying the Benefits of Social Insurance: Unemployment Insurance and Health," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 490-505, July.
    7. David M. Kaplan, 2022. "Smoothed instrumental variables quantile regression," Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
    8. Fu, Wei & Liu, Feng, 2019. "Unemployment insurance and cigarette smoking," Journal of Health Economics, Elsevier, vol. 63(C), pages 34-51.
    9. Kathy Baylis & Linlin Fan & Lia Nogueira, 2019. "Agricultural Market Liberalization and Household Food Security in Rural China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(1), pages 250-269.
    10. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    11. 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.
    12. Susan Chen & Le Wang, 2021. "SNAP participation, diet quality, and obesity: robust evidence with estimation techniques without external instrumental variables," Empirical Economics, Springer, vol. 61(3), pages 1641-1667, September.
    13. Mancino, Lisa & Todd, Jessica E. & Scharadin, Benjamin, 2018. "USDA’s National Household Food Acquisition and Purchase Survey: Methodology for Imputing Missing Quantities To Calculate Healthy Eating Index-2010 Scores and Sort Foods Into ERS Food Groups," Technical Bulletins 276252, United States Department of Agriculture, Economic Research Service.
    14. Rothe, Christoph, 2010. "Identification of unconditional partial effects in nonseparable models," Economics Letters, Elsevier, vol. 109(3), pages 171-174, December.
    15. Meyerhoefer, Chad D. & Pylypchuk, Vuriy, 2008. "AJAE Appendix: Does Participation in the Food Stamp Program Increase the Prevalence of Obesity and Health Care Spending?," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(2), pages 1-6.
    16. Darius Lakdawalla & Tomas Philipson & Jay Bhattacharya, 2005. "Welfare-Enhancing Technological Change and the Growth of Obesity," American Economic Review, American Economic Association, vol. 95(2), pages 253-257, May.
    17. George Davis & Wen You, 2010. "The time cost of food at home: general and food stamp participant profiles," Applied Economics, Taylor & Francis Journals, vol. 42(20), pages 2537-2552.
    18. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    19. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    20. Krueger, Alan B. & Mueller, Andreas, 2010. "Job search and unemployment insurance: New evidence from time use data," Journal of Public Economics, Elsevier, vol. 94(3-4), pages 298-307, April.
    21. Guido W. Imbens & Whitney K. Newey, 2009. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
    22. Justine Hastings & Ryan Kessler & Jesse M. Shapiro, 2021. "The Effect of SNAP on the Composition of Purchased Foods: Evidence and Implications," American Economic Journal: Economic Policy, American Economic Association, vol. 13(3), pages 277-315, August.
    23. Kyung Min Kang & Robert A. Moffitt, 2019. "The Effect of SNAP and School Food Programs on Food Security, Diet Quality, and Food Spending: Sensitivity to Program Reporting Error," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 156-201, July.
    24. Bijan J. Borah & Anirban Basu, 2013. "Highlighting Differences Between Conditional And Unconditional Quantile Regression Approaches Through An Application To Assess Medication Adherence," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1052-1070, September.
    25. Travis A. Smith & Joshua P. Berning & Xiaosi Yang & Gregory Colson & Jeffrey H. Dorfman, 2016. "The Effects of Benefit Timing and Income Fungibility on Food Purchasing Decisions among Supplemental Nutrition Assistance Program Households," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(2), pages 564-580.
    26. Michael Reich & Rachel West, 2015. "The Effects of Minimum Wages on Food Stamp Enrollment and Expenditures," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(4), pages 668-694, October.
    27. 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.
    28. Travis A. Smith, 2017. "Do School Food Programs Improve Child Dietary Quality?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 339-356.
    29. Gregory, Christian & Ver Ploeg, Michele & Andrews, Margaret & Coleman-Jensen, Alisha, 2013. "Supplemental Nutrition Assistance Program (SNAP) Participation Leads to Modest Changes in Diet Quality," Economic Research Report 262225, United States Department of Agriculture, Economic Research Service.
    30. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
    31. Gruber, Jonathan, 1997. "The Consumption Smoothing Benefits of Unemployment Insurance," American Economic Review, American Economic Association, vol. 87(1), pages 192-205, March.
    32. Wei Fu & Chen Huang & Feng Liu, 2023. "Unemployment benefits, food insecurity, and supplemental nutrition assistance program spending," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 479-502, March.
    33. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    34. 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.
    35. 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.
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