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Let them Eat Cake? The Net Consumer Welfare Impact of Sin Taxes

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  • Di Cosmo, Valeria
  • Tiezzi, Silvia

Abstract

When judging the distributional impact of a sin tax, what matters is not just how much low income people would pay but how much the tax would benefit or harm them overall. In this paper we assess the consumer welfare impact of a fat tax net of its expected benefits computed as savings from averted internalities. Using data on Italian consumers we estimate a censored Exact Affine Stone Index (EASI) incomplete demand system for food groups and simulate changes in purchases, calorie intake, consumers’ welfare and the monetary value of health benefits after the tax. Our results suggest costs from taxation larger than benefits at all income levels. As a fraction of income, the net impact would be regressively distributed.

Suggested Citation

  • Di Cosmo, Valeria & Tiezzi, Silvia, 2023. "Let them Eat Cake? The Net Consumer Welfare Impact of Sin Taxes," MPRA Paper 116214, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:116214
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    as
    1. Cremer, Helmuth & Goulão, Catarina & Roeder, Kerstin, 2016. "Earmarking and the political support of fat taxes," Journal of Health Economics, Elsevier, vol. 50(C), pages 258-267.
    2. 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.
    3. Härkänen, Tommi & Kotakorpi, Kaisa & Pietinen, Pirjo & Pirttilä, Jukka & Reinivuo, Heli & Suoniemi, Ilpo, 2014. "The welfare effects of health-based food tax policy," Food Policy, Elsevier, vol. 49(P1), pages 196-206.
    4. 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).
    5. Pierre Dubois & Rachel Griffith & Martin O'Connell, 2020. "How Well Targeted Are Soda Taxes?," American Economic Review, American Economic Association, vol. 110(11), pages 3661-3704, November.
    6. Harding, Matthew & Lovenheim, Michael, 2017. "The effect of prices on nutrition: Comparing the impact of product- and nutrient-specific taxes," Journal of Health Economics, Elsevier, vol. 53(C), pages 53-71.
    7. Martin O'Connell & Pierre Dubois & Rachel Griffith, 2022. "The Use of Scanner Data for Economics Research," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 723-745, August.
    8. Anil Alpman, 2016. "Implementing Rubin's alternative multiple-imputation method for statistical matching in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 717-739, September.
    9. Jeffrey T. LaFrance & W. Michael Hanemann, 1989. "The Dual Structure of Incomplete Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 262-274.
    10. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, October.
    11. Juan Carlos Caro & Pourya Valizadeh & Alejandrina Correa & Andres Silva & Shu Wen Ng, 2020. "Combined fiscal policies to promote healthier diets: Effects on purchases and consumer welfare," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-23, January.
    12. Crudu, Federico & Neri, Laura & Tiezzi, Silvia, 2021. "Family ties and child obesity in Italy," Economics & Human Biology, Elsevier, vol. 40(C).
    13. Chen Zhen & Eric A. Finkelstein & James M. Nonnemaker & Shawn A. Karns & Jessica E. Todd, 2014. "Predicting the Effects of Sugar-Sweetened Beverage Taxes on Food and Beverage Demand in a Large Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 1-25.
    14. Laurent Muller & Anne Lacroix & Jayson L. Lusk & Bernard Ruffieux, 2017. "Distributional Impacts of Fat Taxes and Thin Subsidies," Economic Journal, Royal Economic Society, vol. 127(604), pages 2066-2092, September.
    15. Hunt Allcott & Benjamin B. Lockwood & Dmitry Taubinsky, 2019. "Should We Tax Sugar-Sweetened Beverages? An Overview of Theory and Evidence," Journal of Economic Perspectives, American Economic Association, vol. 33(3), pages 202-227, Summer.
    16. Zhen Miao & John C. Beghin & Helen H. Jensen, 2013. "Accounting For Product Substitution In The Analysis Of Food Taxes Targeting Obesity," Health Economics, John Wiley & Sons, Ltd., vol. 22(11), pages 1318-1343, November.
    17. Gruber, Jonathan & Koszegi, Botond, 2004. "Tax incidence when individuals are time-inconsistent: the case of cigarette excise taxes," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1959-1987, August.
    18. James R. Hines Jr., 2007. "Taxing Consumption and Other Sins," Journal of Economic Perspectives, American Economic Association, vol. 21(1), pages 49-68, Winter.
    19. Laurent Muller & Anne Lacroix & Jayson L. Lusk & Bernard Ruffieux, 2017. "Distributional Impacts of Fat Taxes and Thin Subsidies," Economic Journal, Royal Economic Society, vol. 127(604), pages 2066-2092, September.
    20. Erik Nelson & John Fitzgerald & Nathan Tefft, 2019. "The distributional impact of a green payment policy for organic fruit," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-25, February.
    21. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    22. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    23. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    24. Rubin, Donald B, 1986. "Statistical Matching Using File Concatenation with Adjusted Weights and Multiple Imputations," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 87-94, January.
    25. 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).
    26. 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.
    27. Hanemann, Michael & Morey, Edward, 1992. "Separability, partial demand systems, and consumer's surplus measures," Journal of Environmental Economics and Management, Elsevier, vol. 22(3), pages 241-258, May.
    28. 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.
    29. Rachel Griffith & Martin O'Connell & Kate Smith & Rebekah Stroud, 2020. "What's on the Menu? Policies to Reduce Young People's Sugar Consumption," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 165-197, March.
    30. 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.
    31. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    32. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    33. Xiang, Di & Zhan, Lue & Bordignon, Massimo, 2020. "A reconsideration of the sugar sweetened beverage tax in a household production model," Food Policy, Elsevier, vol. 95(C).
    34. Kao, Kai-Erh & Jones, Amanda C. & Ohinmaa, Arto & Paulden, Mike, 2020. "The health and financial impacts of a sugary drink tax across different income groups in Canada," Economics & Human Biology, Elsevier, vol. 38(C).
    35. Arthur Lewbel, 1989. "Identification and Estimation of Equivalence Scales under Weak Separability," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 311-316.
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    More about this item

    Keywords

    sin taxes; internality benefits; welfare costs; exact affine stone index demand system; demand elasticities; micronutrients intake;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • I39 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Other

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