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Do obese and nonobese consumers respond differently to price changes? Implications of preference heterogeneity for obesity‐oriented food taxes and subsidies

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  • Chen Zhen
  • Yu Chen
  • Biing‐Hwan Lin
  • Shawn Karns
  • Lisa Mancino
  • Michele Ver Ploeg

Abstract

Preference heterogeneity in food demand has important health and equity implications for targeted and broad‐based taxes and subsidies intended to enhance diet quality and reduce obesity. We study the role of obesity in the purchases of food at home and food away from home using data from the nationally representative National Household Food Acquisition and Purchase Survey. We develop a method for incorporating the complex survey design and retail scanner data into the estimation of a 21‐good Exact Affine Stone Index demand system with endogenous prices and truncated purchases. We find significant preference heterogeneity associated with the obesity status of household members. Counterfactual simulations find that (1) a sweetened beverage tax is effective in increasing the healthfulness of purchases by lower income obese consumers; (2) the nutritional benefits of a fruit and vegetable subsidy are concentrated on nonobese consumers with little improvement in obese consumers' Healthy Eating Index and an increase in their total calories purchased; and (3) a fiscally neutral healthy food subsidy fully funded by an unhealthy food tax benefits nonobese consumers both financially and nutritionally more than it does obese consumers. These findings show that lowering healthy food prices without raising the cost of unhealthy foods is unlikely to reduce obesity. Policymakers in favor of a systems approach of simultaneously taxing unhealthy foods and subsidizing healthy foods should be mindful of the distributional effects of this policy on obese consumers and the lower income population.

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  • Chen Zhen & Yu Chen & Biing‐Hwan Lin & Shawn Karns & Lisa Mancino & Michele Ver Ploeg, 2024. "Do obese and nonobese consumers respond differently to price changes? Implications of preference heterogeneity for obesity‐oriented food taxes and subsidies," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 1058-1088, May.
  • Handle: RePEc:wly:ajagec:v:106:y:2024:i:3:p:1058-1088
    DOI: 10.1111/ajae.12418
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    1. Courtemanche, Charles & Tchernis, Rusty & Ukert, Benjamin, 2018. "The effect of smoking on obesity: Evidence from a randomized trial," Journal of Health Economics, Elsevier, vol. 57(C), pages 31-44.
    2. Pierre Dubois & Rachel Griffith & Aviv Nevo, 2014. "Do Prices and Attributes Explain International Differences in Food Purchases?," American Economic Review, American Economic Association, vol. 104(3), pages 832-867, March.
    3. Newey, Whitney K., 1987. "Efficient estimation of limited dependent variable models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 36(3), pages 231-250, November.
    4. Hunt Allcott & Benjamin B Lockwood & Dmitry Taubinsky, 2019. "Regressive Sin Taxes, with an Application to the Optimal Soda Tax," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1557-1626.
    5. Emily Wang & Christian Rojas & Francesca Colantuoni, 2017. "Heterogeneous Behavior, Obesity, and Storability in the Demand for Soft Drinks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(1), pages 18-33.
    6. James Nonnemaker & Eric Finkelstein & Mark Engelen & Thomas Hoerger & Matthew Farrelly, 2009. "Have Efforts To Reduce Smoking Really Contributed To The Obesity Epidemic?," Economic Inquiry, Western Economic Association International, vol. 47(2), pages 366-376, April.
    7. Rebecca L. C. Taylor & Scott Kaplan & Sofia B. Villas‐Boas & Kevin Jung, 2019. "Soda Wars: The Effect Of A Soda Tax Election On University Beverage Sales," Economic Inquiry, Western Economic Association International, vol. 57(3), pages 1480-1496, July.
    8. Cawley, John & Frisvold, David & Hill, Anna & Jones, David, 2020. "Oakland’s sugar-sweetened beverage tax: Impacts on prices, purchases and consumption by adults and children," Economics & Human Biology, Elsevier, vol. 37(C).
    9. Cawley, John & Frisvold, David & Hill, Anna & Jones, David, 2019. "The impact of the Philadelphia beverage tax on purchases and consumption by adults and children," Journal of Health Economics, Elsevier, vol. 67(C).
    10. West, Sarah E. & Williams, R.C.Roberton III, 2004. "Estimates from a consumer demand system: implications for the incidence of environmental taxes," Journal of Environmental Economics and Management, Elsevier, vol. 47(3), pages 535-558, May.
    11. Lin, Biing-Hwan & Smith, Travis A. & Lee, Jonq-Ying & Hall, Kevin D., 2011. "Measuring weight outcomes for obesity intervention strategies: The case of a sugar-sweetened beverage tax," Economics & Human Biology, Elsevier, vol. 9(4), pages 329-341.
    12. Arthur Lewbel & Krishna Pendakur, 2009. "Tricks with Hicks: The EASI Demand System," American Economic Review, American Economic Association, vol. 99(3), pages 827-863, June.
    13. Clay, Marie & Ver Ploeg, Michele & Coleman-Jensen, Alisha & Elitzak, Howard & Gregory, Christian & Levin, David & Newman, Constance & Rabbitt, Mathew, 2016. "Comparing National Household Food Acquisition and Purchase Survey (FoodAPS) Data With Other National Food Surveys’ Data," Economic Information Bulletin 242451, United States Department of Agriculture, Economic Research Service.
    14. 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.
    15. Chen Zhen & Mary Muth & Abigail Okrent & Shawn Karns & Derick Brown & Peter Siegel, 2019. "Do differences in reported expenditures between household scanner data and expenditure surveys matter in health policy research?," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 782-800, June.
    16. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
    17. Yang Yu & Edward C. Jaenicke, 2020. "Estimating Food Waste as Household Production Inefficiency," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 525-547, March.
    18. Chen Zhen & Ian F. Brissette & Ryan Richard Ruff, 2014. "By Ounce or by Calorie: The Differential Effects of Alternative Sugar-Sweetened Beverage Tax Strategies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(4), pages 1070-1083.
    19. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    20. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    21. David E. Sahn, 2005. "Consistent Estimation of Censored Demand Systems Using Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 660-672.
    22. Rick L. Williams, 2000. "A Note on Robust Variance Estimation for Cluster-Correlated Data," Biometrics, The International Biometric Society, vol. 56(2), pages 645-646, June.
    23. Christian Rojas & Emily Wang, 2021. "Do Taxes On Soda And Sugary Drinks Work? Scanner Data Evidence From Berkeley And Washington State," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 95-118, January.
    24. Amemiya, Takeshi, 1979. "The Estimation of a Simultaneous-Equation Tobit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(1), pages 169-181, February.
    25. Jeffrey M. Wooldridge, 2015. "Control Function Methods in Applied Econometrics," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 420-445.
    26. Silberberg, Eugene, 1985. "Nutrition and the Demand for Tastes," Journal of Political Economy, University of Chicago Press, vol. 93(5), pages 881-900, October.
    27. Gruber, Jonathan & Frakes, Michael, 2006. "Does falling smoking lead to rising obesity?," Journal of Health Economics, Elsevier, vol. 25(2), pages 183-197, March.
    28. Pierre Thomas Léger & Lisa M. Powell, 2021. "The impact of the Oakland SSB tax on prices and volume sold: A study of intended and unintended consequences," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1745-1771, August.
    29. Chen Zhen & Justin L. Taylor & Mary K. Muth & Ephraim Leibtag, 2009. "Understanding Differences in Self-Reported Expenditures between Household Scanner Data and Diary Survey Data: A Comparison of Homescan and Consumer Expenditure Survey," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 470-492, September.
    30. Kuo S. Huang, 1996. "Nutrient Elasticities in a Complete Food Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 21-29.
    31. Goodarz Danaei & Eric L Ding & Dariush Mozaffarian & Ben Taylor & Jürgen Rehm & Christopher J L Murray & Majid Ezzati, 2009. "The Preventable Causes of Death in the United States: Comparative Risk Assessment of Dietary, Lifestyle, and Metabolic Risk Factors," PLOS Medicine, Public Library of Science, vol. 6(4), pages 1-23, April.
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