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Real choices and hypothetical choices

In: Handbook of Choice Modelling

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  • Glenn W. Harrison

Abstract

Choice modelling is an increasingly important technique for forecasting and valuation, with applications in fields such as transportation, health and environmental economics. For this reason it has attracted attention from leading academics and practitioners and methods have advanced substantially in recent years. This Handbook, composed of contributions from senior figures in the field, summarises the essential analytical techniques and discusses the key current research issues. It will be of interest to academics, students and practitioners in a wide range of areas.

Suggested Citation

  • Glenn W. Harrison, 2014. "Real choices and hypothetical choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 10, pages 236-254, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14820_10
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    References listed on IDEAS

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    2. 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.
    3. Raux, Charles & Chevalier, Amandine & Bougna, Emmanuel & Hilton, Denis, 2021. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Research in Transportation Economics, Elsevier, vol. 90(C).
    4. Gangadharan, Lata & Harrison, Glenn W. & Leroux, Anke D., 2019. "Are risks over multiple attributes traded off? A case study of aid," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 166-198.
    5. Askill H. Halse & Stefan Flügel & Marco Kouwenhoven & Gerard Jong & Hanne B. Sundfør & Nina Hulleberg & Guri N. Jordbakke & Henrik Lindhjem, 2023. "A minute of your time: The impact of survey recruitment method and interview location on the value of travel time," Transportation, Springer, vol. 50(5), pages 1553-1584, October.
    6. Buckell, John & White, Justin S. & Shang, Ce, 2020. "Can incentive-compatibility reduce hypothetical bias in smokers’ experimental choice behavior? A randomized discrete choice experiment," Journal of choice modelling, Elsevier, vol. 37(C).
    7. Kassas, Bachir & Palma, Marco A. & Zhang, Yvette, 2016. "The role of incentives on preference revelations in auctions versus rankings," Journal of choice modelling, Elsevier, vol. 20(C), pages 73-85.
    8. John Buckell & Joachim Marti & Jody L. Sindelar, 2017. "Should Flavors be Banned in E-cigarettes? Evidence on Adult Smokers and Recent Quitters from a Discrete Choice Experiment," NBER Working Papers 23865, National Bureau of Economic Research, Inc.
    9. Fosgerau, Mogens & Börjesson, Maria, 2015. "Manipulating a stated choice experiment," Journal of choice modelling, Elsevier, vol. 16(C), pages 43-49.
    10. Tsakas, Elias, 2020. "Robust scoring rules," Theoretical Economics, Econometric Society, vol. 15(3), July.

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