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Comprehensive E-cigarette Flavor Bans and Tobacco Use among Youth and Adults

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Listed:
  • Henry Saffer
  • Selen Ozdogan
  • Michael Grossman
  • Daniel L. Dench
  • Dhaval M. Dave

Abstract

The vast majority of youth e-cigarette users consume flavored e-cigarettes, raising concerns from public health advocates that flavors may drive youth initiation into and continued use of e-cigarettes. Flavors drew further notice from the public health community following the sudden outbreak of lung injury among vapers in 2019, prompting several states to enact sweeping bans on flavored e-cigarettes. In this study, we examine the effects of these comprehensive bans on e-cigarette use and potential spillovers into other tobacco use by youth, young adults, and adults. We utilize both standard difference-in-differences (DID) and synthetic DID methods, in conjunction with four national data sets. We find evidence that young adults decrease their use of the banned flavored e-cigarettes as well as their overall e-cigarette use, by about two percentage points, while increasing cigarette use. For youth, there is some suggestive evidence of increasing cigarette use, though these results are contaminated by pre-trend differences between treatment and control units. The bans have no effect on e-cigarette and smoking participation among older adults (ages 25+). Our findings suggest that statewide comprehensive flavor bans may have generated an unintended consequence by encouraging substitution towards traditional smoking in some populations.

Suggested Citation

  • Henry Saffer & Selen Ozdogan & Michael Grossman & Daniel L. Dench & Dhaval M. Dave, 2024. "Comprehensive E-cigarette Flavor Bans and Tobacco Use among Youth and Adults," NBER Working Papers 32534, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:32534
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    References listed on IDEAS

    as
    1. Hunt Allcott & Charlie Rafkin, 2022. "Optimal Regulation of E-cigarettes: Theory and Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 14(4), pages 1-50, November.
    2. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
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    5. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 61, pages 3895-3962, Elsevier.
    6. Henry Saffer & Daniel Dench & Michael Grossman & Dhaval Dave, 2020. "E-cigarettes and adult smoking: Evidence from Minnesota," Journal of Risk and Uncertainty, Springer, vol. 60(3), pages 207-228, June.
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    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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