John Buckell

Yale School of Public Health
P.O. Box 208034
New Haven, CT 06520-8034

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org

NBER Working Papers and Publications

September 2017Should Flavors be Banned in E-cigarettes? Evidence on Adult Smokers and Recent Quitters from a Discrete Choice Experiment
with Joachim Marti, Jody L. Sindelar: w23865
E-cigarettes are available in over 7,000 flavors, whereas all flavors but menthol are banned in combustible cigarettes. The FDA recently requested a ban on e-cigarette flavors, but was rejected. The FDA is again considering this ban and also a ban on menthol in combustible cigarettes, but there is little information on the impacts of alternative bans on the market for combustible and e-cigarettes. Our study provides these much-needed estimates. We conduct a discrete choice experiment on a nationally representative sample of 2,031 adult smokers and recent quitters that we collected. We estimate preferences for flavors and other attributes and use these preferences to predict the demand for each cigarette type and for “none of these.” We then predict the impact of alternative bans and compa...
March 2016To ‘Vape’ or Smoke? A Discrete Choice Experiment Among U.S. Adult Smokers
with Joachim Marti, Johanna Catherine Maclean, Jody L. Sindelar: w22079
A small but rapidly growing percentage of the U.S. population uses e-cigarettes. Policymakers, especially the FDA, are concerned about their public health impact and thus are contemplating regulations. We provide empirical evidence to inform such policy choices. Specifically, we examine how the demand for e-cigarettes would vary across policy-relevant attributes: 1) health impact, 2) effectiveness in helping smokers quit, 3) bans in public places, and 4) price. We conduct an online discrete choice experiment of 1,669 adult smokers who select among combustible cigarettes and two types of e-cigarettes as attributes are varied. Using a conditional logit model we estimate smokers’ preferences across attributes. Then, using a latent class model, we identify types of smokers and conduct policy s...
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