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On the Motivations for the Dual-Use of Electronic and Traditional Cigarettes

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Abstract

We apply a classical economic categorization of preferences to identify the motivations of dual-users of electronic and traditional cigarettes. The responses of 2,406 U.S. adults (including 413 dual-users) in 2015 were collected using a novel online survey along with a follow-up in 2016 of 143 of these adults (68 dual-users). A sizeable minority of 37% of dual-users reported viewing electronic and conventional cigarettes primarily as complements. Of those who had never smoked or used electronic cigarettes, only 27% thought the complementarity motive would be primary. Dual-user motivations were associated with quit-attempt, cessation methods, gender and age. One year on, there was a positive relationship between the level of complementarity in the dual-user’s motives and their change in self-reported cigarette consumption. It is concluded that the application of a canonical economic classification of preferences may reveal important heterogeneities among the dual-user population.

Suggested Citation

  • Daniel Sgroi, 2017. "On the Motivations for the Dual-Use of Electronic and Traditional Cigarettes," Economics Series Working Papers 830, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:830
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    1. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    2. Steve Berry & Ahmed Khwaja & Vineet Kumar & Andres Musalem & Kenneth Wilbur & Greg Allenby & Bharat Anand & Pradeep Chintagunta & W. Hanemann & Przemek Jeziorski & Angelo Mele, 2014. "Structural models of complementary choices," Marketing Letters, Springer, vol. 25(3), pages 245-256, September.
    3. Neil Stewart & Christoph Ungemach & Adam J. L. Harris & Daniel M. Bartels & Ben R. Newell & Gabriele Paolacci & Jesse Chandler, "undated". "The Average Laboratory Samples a Population of 7,300 Amazon Mechanical Turk Workers," Mathematica Policy Research Reports f97b669c7b3e4c2ab95c9f805, Mathematica Policy Research.
    4. Neil Stewart & Christoph Ungemach & Adam J. L. Harris & Daniel M. Bartels & Ben R. Newell & Gabriele Paolacci & Jesse Chandler, 2015. "The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(5), pages 479-491, September.
    5. Ilyana Kuziemko & Michael I. Norton & Emmanuel Saez & Stefanie Stantcheva, 2015. "How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments," American Economic Review, American Economic Association, vol. 105(4), pages 1478-1508, April.
    6. Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
    7. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
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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
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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