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Kicking the habit is hard: A hybrid choice model investigation into the role of addiction in smoking behavior

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  • John Buckell
  • David A Hensher
  • Stephane Hess

Abstract

Use of choice models is growing rapidly in tobacco research. These models are being used to answer key policy questions. However, certain aspects of smokers' choice behavior are not well understood. One such feature is addiction. Here, we address this issue by modeling data from a choice experiment on the US smokers. We model addiction using a latent variable. We use this latent variable to understand the relationship between choices and addiction, giving attention to nicotine levels. We find that more addicted smokers have stronger preferences for cigarettes and are unwilling to switch to e‐cigarettes. Addicted smokers value nicotine in tobacco products to a much greater extent than those that are less addicted. Lastly, we forecast short‐term responses to lowering nicotine levels in cigarettes. The results suggest that current nicotine‐focused policies could be effective at encouraging addicted smokers to less harmful products and lead to substantial public health gains.

Suggested Citation

  • John Buckell & David A Hensher & Stephane Hess, 2021. "Kicking the habit is hard: A hybrid choice model investigation into the role of addiction in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 3-19, January.
  • Handle: RePEc:wly:hlthec:v:30:y:2021:i:1:p:3-19
    DOI: 10.1002/hec.4173
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    References listed on IDEAS

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    1. Esther Bekker-Grob & Bas Donkers & Marcel Jonker & Elly Stolk, 2015. "Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(5), pages 373-384, October.
    2. Philip DeCicca & Donald Kenkel & Michael F. Lovenheim, 2022. "The Economics of Tobacco Regulation: A Comprehensive Review," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 883-970, September.
    3. David A. Hensher & Camila Balbontin & William H. Greene & Joffre Swait, 2021. "Experience as a conditioning effect on choice: Does it matter whether it is exogenous or endogenous?," Transportation, Springer, vol. 48(5), pages 2825-2855, October.
    4. Chaloupka, Frank J. & Warner, Kenneth E., 2000. "The economics of smoking," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 29, pages 1539-1627, Elsevier.
    5. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    6. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2019. "How to better represent preferences in choice models: The contributions to preference heterogeneity attributable to the presence of process heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 218-248.
    7. Kabindra Regmi & Dinesh Kaphle & Sabina Timilsina & Nik Annie Afiqah Tuha, 2018. "Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic Review," PharmacoEconomics - Open, Springer, vol. 2(1), pages 5-17, March.
    8. Czajkowski, Mikołaj & Budziński, Wiktor, 2019. "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 73-85.
    9. Cawley, John & Ruhm, Christopher J., 2011. "The Economics of Risky Health Behaviors," Handbook of Health Economics, in: Mark V. Pauly & Thomas G. Mcguire & Pedro P. Barros (ed.), Handbook of Health Economics, volume 2, chapter 0, pages 95-199, Elsevier.
    10. Daly, Andrew & Hess, Stephane & de Jong, Gerard, 2012. "Calculating errors for measures derived from choice modelling estimates," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 333-341.
    11. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    13. Hensher, David A. & Ho, Chinh Q., 2016. "Experience conditioning in commuter modal choice modelling – Does it make a difference?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 164-176.
    14. Mokhtarian, Patricia L., 2016. "Discrete choice models’ ρ2: A reintroduction to an old friend," Journal of choice modelling, Elsevier, vol. 21(C), pages 60-65.
    15. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521142373.
    16. F. Reed Johnson & Ateesha F. Mohamed & Semra Özdemir & Deborah A. Marshall & Kathryn A. Phillips, 2011. "How does cost matter in health‐care discrete‐choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 323-330, March.
    17. Hess, Stephane & Hensher, David A. & Daly, Andrew, 2012. "Not bored yet – Revisiting respondent fatigue in stated choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 626-644.
    18. Donald S. Kenkel & Sida Peng & Michael F. Pesko & Hua Wang, 2020. "Mostly harmless regulation? Electronic cigarettes, public policy, and consumer welfare," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1364-1377, November.
    19. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204.
    20. Hess, Stephane & Spitz, Greg & Bradley, Mark & Coogan, Matt, 2018. "Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 547-567.
    21. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    22. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
    23. Mark V. Pauly & Thomas G. Mcguire & Pedro P. Barros (ed.), 2011. "Handbook of Health Economics," Handbook of Health Economics, Elsevier, volume 2, number 2.
    24. Peter M. Fayers & David J. Hand, 2002. "Causal variables, indicator variables and measurement scales: an example from quality of life," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 233-253, June.
    25. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    26. Takanori Ida & Rei Goto, 2009. "Simultaneous Measurement Of Time And Risk Preferences: Stated Preference Discrete Choice Modeling Analysis Depending On Smoking Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1169-1182, November.
    27. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 4th January 2021
      by Chris Sampson in The Academic Health Economists' Blog on 2021-01-04 12:00:05

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    4. Arora, Nikita & Crastes dit Sourd, Romain & Hanson, Kara & Woldesenbet, Dorka & Seifu, Abiy & Quaife, Matthew, 2022. "Linking health worker motivation with their stated job preferences: A hybrid choice analysis in Ethiopia," Social Science & Medicine, Elsevier, vol. 307(C).

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