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Strategic bias in discrete choice experiments

Author

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  • Meginnis, Keila
  • Burton, Michael
  • Chan, Ron
  • Rigby, Dan

Abstract

An induced value laboratory experiment is conducted to explore the vulnerability of discrete choice experiments to strategic misrepresentation of preferences. We consider strategic behaviour to arise when an agent: (i) believes the choice experiment will be used to determine a provision decision over a discrete set of alternatives; and (ii) has expectations about the relative likelihood of those alternatives being selected and delivered. In the experiment, agents receive induced values for the discrete set of provisioning alternatives. In treatments where agents receive information that their first best outcome is unlikely to win, we investigate the extent to which their choices change, in a manner consistent with them seeking to deliver their second best outcome in the provisioning decision. We find that 27% of respondents misrepresent their preferences and reveal evidence of strategic bias. We find that this behaviour is sufficient to change inferences about preferred provision at the aggregate level.

Suggested Citation

  • Meginnis, Keila & Burton, Michael & Chan, Ron & Rigby, Dan, 2021. "Strategic bias in discrete choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
  • Handle: RePEc:eee:jeeman:v:109:y:2021:i:c:s0095069617306344
    DOI: 10.1016/j.jeem.2018.08.010
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    References listed on IDEAS

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    Cited by:

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    2. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
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    4. Anthony Macedo & Marta Ferreira Dias & Paulo Reis Mourão, 2023. "European Men's Club Football in the Eyes of Consumers: The Determinants of Television Broadcast Demand," Journal of Sports Economics, , vol. 24(5), pages 579-623, June.

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    More about this item

    Keywords

    Discrete choice experiments; Strategic bias; Provision rule; Response strategies;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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