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Taboo trade-off aversion: A discrete choice model and empirical analysis

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  • Chorus, Caspar G.
  • Pudāne, Baiba
  • Mouter, Niek
  • Campbell, Danny

Abstract

An influential body of literature in moral psychology suggests that decision makers consider trade-offs morally problematic, or taboo, when the attributes traded off against each other belong to different ‘spheres’, such as friendship versus market transactions. This study is the first to model and empirically explore taboo trade-off aversion in a discrete choice context. To capture possible taboo trade-off aversion, we propose to extend the conventional linear in parameters logit model by including penalties for taboo trade-offs. Using this model, we then explore the presence (and size) of taboo trade-off aversion in a data set specifically collected for this purpose. Results, based on estimation of a variety of (Mixed) Logit models with and without taboo trade-off penalties, suggest that there is indeed a significant and sizeable taboo trade-off aversion underlying choice behaviour of respondents.

Suggested Citation

  • Chorus, Caspar G. & Pudāne, Baiba & Mouter, Niek & Campbell, Danny, 2018. "Taboo trade-off aversion: A discrete choice model and empirical analysis," Journal of choice modelling, Elsevier, vol. 27(C), pages 37-49.
  • Handle: RePEc:eee:eejocm:v:27:y:2018:i:c:p:37-49
    DOI: 10.1016/j.jocm.2017.09.002
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    References listed on IDEAS

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    1. Chorus, Caspar G., 2015. "Models of moral decision making: Literature review and research agenda for discrete choice analysis," Journal of choice modelling, Elsevier, vol. 16(C), pages 69-85.
    2. Czajkowski, Mikolaj & Buszko-Briggs, Malgorzata & Hanley, Nick, 2009. "Valuing changes in forest biodiversity," Ecological Economics, Elsevier, vol. 68(12), pages 2910-2917, October.
    3. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    4. Saelensminde, Kjartan, 2006. "Causes and consequences of lexicographic choices in stated choice studies," Ecological Economics, Elsevier, vol. 59(3), pages 331-340, September.
    5. John R. Hauser, 1978. "Testing the Accuracy, Usefulness, and Significance of Probabilistic Choice Models: An Information-Theoretic Approach," Operations Research, INFORMS, vol. 26(3), pages 406-421, June.
    6. Daniel McFadden & Kenneth Train (ed.), 2017. "Contingent Valuation of Environmental Goods," Books, Edward Elgar Publishing, number 17527.
    7. Mouter, Niek & van Cranenburgh, Sander & van Wee, Bert, 2017. "An empirical assessment of Dutch citizens' preferences for spatial equality in the context of a national transport investment plan," Journal of Transport Geography, Elsevier, vol. 60(C), pages 217-230.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    9. Emily Lancsar & Jordan Louviere, 2006. "Deleting ‘irrational’ responses from discrete choice experiments: a case of investigating or imposing preferences?," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 797-811, August.
    10. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    11. Bert van Wee, 2011. "Transport and Ethics," Books, Edward Elgar Publishing, number 14281.
    12. Stikvoort, Britt & Lindahl, Therese & Daw, Tim M., 2016. "Thou shalt not sell nature: How taboo trade-offs can make us act pro-environmentally, to clear our conscience," Ecological Economics, Elsevier, vol. 129(C), pages 252-259.
    13. Bliemer, Michiel C.J. & Rose, John M. & Chorus, Caspar G., 2017. "Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 83-104.
    14. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    15. Waiyan Leong & David Alan Hensher, 2012. "Embedding Decision Heuristics in Discrete Choice Models: A Review," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 313-331, February.
    16. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, September.
    17. Edward Leamer & Josh Lustig, 2017. "Inferences from stated preference surveys when some respondents do not compare costs and benefits," Chapters, in: Daniel McFadden & Kenneth Train (ed.), Contingent Valuation of Environmental Goods, chapter 8, pages 224-251, Edward Elgar Publishing.
    18. Boeri, Marco & Longo, Alberto & Grisolía, José M. & Hutchinson, W. George & Kee, Frank, 2013. "The role of regret minimisation in lifestyle choices affecting the risk of coronary heart disease," Journal of Health Economics, Elsevier, vol. 32(1), pages 253-260.
    19. Caspar G. Chorus, 2014. "Capturing alternative decision rules in travel choice models: a critical discussion," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 13, pages 290-310, Edward Elgar Publishing.
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    Cited by:

    1. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    2. Nokhaiz Tariq Khan & Javed Aslam & Ateeq Abdul Rauf & Yun Bae Kim, 2022. "The Case of South Korean Airlines-Within-Airlines Model: Helping Full-Service Carriers Challenge Low-Cost Carriers," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
    3. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum choice models: A flexible new approach for understanding moral decision-making," Journal of choice modelling, Elsevier, vol. 37(C).
    4. Anna Bartczak & Wiktor Budziński & Ulf Liebe & Jurgen Meyerhoff, 2023. "The impact of justice attitudes on air quality valuation: a study combining factorial survey and choice experiment data," Working Papers 2023-26, Faculty of Economic Sciences, University of Warsaw.
    5. Paul Koster, 2023. "Counting what counts: Moral considerations and market surplus," Tinbergen Institute Discussion Papers 23-008/VIII, Tinbergen Institute.

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