Year: 2017
Type: report
Abstract: Electronic cigarettes are a less harmful alternative to combustible cigarettes.We analyze data on e-cigarette choices in an online experimental market.Our data and mixed logit model capture two sources of consumer optimization errors: over-estimates of the relative risks of e-cigarettes; and present bias.Our novel data and policy analysis make three contributions.First, our predictions about e-cigarette use under counter-factual policy scenarios provide new information about current regulatory tradeoffs.Second, we provide empirical evidence about the role consumer optimization errors play in tobacco product choices.Third, we contribute to behavioral welfare analysis of policies that address individual optimization errors.
DOI: 10.3386/w23710
Authors: Donald Kenkel, Sida Peng, Michael Pesko, Hua Wang
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G9000003110, G9000217000
OpenAlex ID: W3048539442
