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Instructional Choice Set to Reduce Hypothetical Bias and Choice Randomness in Discrete Choice Experiments

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  • Jiang, Qi
  • Penn, Jerrod
  • Hu, Wuyang

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  • Jiang, Qi & Penn, Jerrod & Hu, Wuyang, 2024. "Instructional Choice Set to Reduce Hypothetical Bias and Choice Randomness in Discrete Choice Experiments," 2024 Annual Meeting, July 28-30, New Orleans, LA 343917, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea24:343917
    DOI: 10.22004/ag.econ.343917
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    References listed on IDEAS

    as
    1. Campbell, Danny & Boeri, Marco & Doherty, Edel & George Hutchinson, W., 2015. "Learning, fatigue and preference formation in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 345-363.
    2. Mikolaj Czajkowski & Marek Giergiczny & William H. Greene, 2014. "Learning and Fatigue Effects Revisited: Investigating the Effects of Accounting for Unobservable Preference and Scale Heterogeneity," Land Economics, University of Wisconsin Press, vol. 90(2), pages 324-351.
    3. Ladenburg, Jacob & Olsen, Søren Bøye, 2008. "Gender-specific starting point bias in choice experiments: Evidence from an empirical study," Journal of Environmental Economics and Management, Elsevier, vol. 56(3), pages 275-285, November.
    4. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    5. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    6. Parsons, George & Yan, Lingxiao, 2021. "Anchoring on visual cues in a stated preference survey: The case of siting offshore wind power projects," Journal of choice modelling, Elsevier, vol. 38(C).
    7. Ahtiainen, Heini & Pouta, Eija & Zawadzki, Wojciech & Tienhaara, Annika, 2023. "Cost vector effects in discrete choice experiments with positive status quo cost," Journal of choice modelling, Elsevier, vol. 47(C).
    8. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    9. Penn, Jerrod & Hu, Wuyang, 2019. "Cheap talk efficacy under potential and actual Hypothetical Bias: A meta-analysis," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 22-35.
    10. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    11. Glenk, Klaus & Meyerhoff, Jürgen & Akaichi, Faical & Martin-Ortega, Julia, 2019. "Revisiting cost vector effects in discrete choice experiments," Resource and Energy Economics, Elsevier, vol. 57(C), pages 135-155.
    12. Tenaw G. Abate & Morten R. Mørkbak & Søren B. Olsen, 2018. "Inducing value and institutional learning effects in stated choice experiments using advanced disclosure and instructional choice set treatments," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 339-351, May.
    13. Meyerhoff, Jürgen & Glenk, Klaus, 2015. "Learning how to choose—effects of instructional choice sets in discrete choice experiments," Resource and Energy Economics, Elsevier, vol. 41(C), pages 122-142.
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