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Reducing Bias from Choice Experiments Estimates in the Demand for Recreation

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  • Longo, Alberto
  • Rowan, Emma
  • Hutchinson, W. George

Abstract

In valuing the demand for recreation, the literature has grown from using revealed preference methods to applying stated preference methods, namely contingent valuation and choice modelling. Recent attempts have merged revealed and stated preference data to exploit the strengths of both sources of data. We use contingent behaviour and choice experiments data to show that, with choice experiments exercises, when respondents are asked to choose which improvement programme they prefer for a site with recreational opportunities, failing to consider the information explaining the number of visits that respondents intend to take to a recreational site under each hypothetical programme leads to biased coefficients estimates in the models for the choice experiments data.

Suggested Citation

  • Longo, Alberto & Rowan, Emma & Hutchinson, W. George, 2010. "Reducing Bias from Choice Experiments Estimates in the Demand for Recreation," 84th Annual Conference, March 29-31, 2010, Edinburgh, Scotland 91827, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc10:91827
    DOI: 10.22004/ag.econ.91827
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    References listed on IDEAS

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    1. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2008. "Combining Revealed And Stated Preference Data To Estimate The Nonmarket Value Of Ecological Services: An Assessment Of The State Of The Science," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 872-908, December.
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