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Predictive validity of stated preference data: evidence from mountain bike park visits before and after trail system expansion

Author

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  • Kevin Atkinson
  • John C. Whitehead

Abstract

This article investigates the validity of stated preference data for use in recreation demand estimation. We use stated preference and revealed preference data from users of a mountain bike park collected before and after an expansion of the trail system. The ex-ante stated preference data elicited before the change exhibits hypothetical bias, but it would provide useful information for demand prediction.

Suggested Citation

  • Kevin Atkinson & John C. Whitehead, 2015. "Predictive validity of stated preference data: evidence from mountain bike park visits before and after trail system expansion," Applied Economics Letters, Taylor & Francis Journals, vol. 22(9), pages 730-733, June.
    • Handle: RePEc:taf:apeclt:v:22:y:2015:i:9:p:730-733
    DOI: 10.1080/13504851.2014.972541
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    Cited by:

    1. John C. Whitehead & Pamela Wicker, 2018. "Valuing Non-Market Benefits of Participatory Sport Events Using Willingness to Travel: Payment Card vs Random Selection with Mitigation of Hypothetical Bias," Working Papers 18-06, Department of Economics, Appalachian State University.
    2. Bottero, Marta & Bravi, Marina & Caprioli, Caterina & Dell'Anna, Federico, 2023. "Combining Revealed and Stated Preferences to design a new urban park in a metropolitan area of North-Western Italy," Ecological Modelling, Elsevier, vol. 483(C).
    3. Xie, Lusi & Adamowicz, Wiktor & Kecinski, Maik & Fooks, Jacob R., 2022. "Using economic experiments to assess the validity of stated preference contingent behavior responses," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).

    More about this item

    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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