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The Impact Of Soda Sales Taxes On Consumption: Evidence From Scanner Data

Author

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  • Francesca Colantuoni
  • Christian Rojas

Abstract

type="main" xml:id="coep12101-abs-0001"> Scientific evidence on the effect of sugar consumption on obesity has propelled policy makers in several states across the United States to propose the imposition of a tax on soft drinks sales. In this article, we look at the effect of two tax events: a 5.5% sales tax on soft drinks imposed by the state of Maine in 1991 and a 5% sales tax on soft drinks levied in Ohio in 2003. We investigate this question by using sales data collected by scanner devices in the two states, where soda taxes where enacted as well as on neighboring states. We employ a difference-in-difference matching estimator (DIDM) that, in our setting, permits the comparison among treatment and control groups based on brand identity. Results suggest that neither sales tax had a statistically significant impact on the consumption of soft drinks. This finding is robust to several alternative specifications . ( JEL D12, H22, C90, L66)

Suggested Citation

  • Francesca Colantuoni & Christian Rojas, 2015. "The Impact Of Soda Sales Taxes On Consumption: Evidence From Scanner Data," Contemporary Economic Policy, Western Economic Association International, vol. 33(4), pages 714-734, October.
    • Handle: RePEc:bla:coecpo:v:33:y:2015:i:4:p:714-734
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    File URL: http://hdl.handle.net/10.1111/coep.2015.33.issue-4
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    Citations

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    Cited by:

    1. Leandro Arozamena & Hernán Ruffo & Pablo Sanguinetti & Federico Weinschelbaum, 2024. "Taxing for Health in Latin America," Department of Economics Working Papers 2024_03, Universidad Torcuato Di Tella.
    2. 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.
    3. Cornelsen, Laura & Smith, Richard D., 2018. "Viewpoint: Soda taxes – Four questions economists need to address," Food Policy, Elsevier, vol. 74(C), pages 138-142.
    4. Vall Castelló, Judit & Lopez Casasnovas, Guillem, 2020. "Impact of SSB taxes on sales," Economics & Human Biology, Elsevier, vol. 36(C).
    5. Sriparna Ghosh & Joshua C. Hall, 2018. "The Political Economy of Soda Taxation," Economics Bulletin, AccessEcon, vol. 38(2), pages 1045-1051.
    6. Lluc Puig-Codina & Jaime Pinilla & Jaume Puig-Junoy, 2021. "The impact of taxing sugar-sweetened beverages on cola purchasing in Catalonia: an approach to causal inference with time series cross-sectional data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 155-168, February.
    7. 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.
    8. 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.
    9. Johannes Voester & Bjoern Ivens & Alexander Leischnig, 2017. "Partitioned pricing: review of the literature and directions for further research," Review of Managerial Science, Springer, vol. 11(4), pages 879-931, October.
    10. Ezgi Cengiz & Christian Rojas, 2024. "Are food manufacturers reducing sugar content? Evidence from scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 40(3), pages 571-595, July.
    11. Ahmed Mohammed Alqarni, 2020. "Saudi Smokers' Behaviors After a 100% Tax Increase," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 11(1), pages 150-150, March.
    12. Nathalie Mathieu-Bolh, 2021. "Hand-to-mouth Consumption and Calorie Consciousness: Consequences for Junk-food Taxation," Public Finance Review, , vol. 49(2), pages 167-220, March.

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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