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Original Articles

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

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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.

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Additional information

Funding

Funding for this study was provided by the Walker College of Business Dean’s Club Research Grant.

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