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Addressing Onsite Sampling in Analysis of Recreation Demand: Economic Value and Impact of Visitation to Cape Hatteras National Seashore

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  • Craig E. Landry
  • Alyson R. Lewis
  • Haiyong Liu
  • Hans Vogelsong

Abstract

This article presents a unified approach to correcting for avidity bias due to onsite sampling in estimation of descriptive statistics and recreation demand. We extend the Shaw (1988) correction for avidity bias in demand modeling to the Generalized Negative Binomial model, and we demonstrate the effects of avidity bias on descriptive statistics. Correcting for avidity bias in recreation demand lowers welfare estimates, which are still, however, quite large at $403/household, per trip (2002 USD). Correcting expenditure estimates increases economic impact by 17%, reflecting greater magnitude in spending patterns of less avid users that live further from Cape Hatteras National Seashore.

Suggested Citation

  • Craig E. Landry & Alyson R. Lewis & Haiyong Liu & Hans Vogelsong, 2016. "Addressing Onsite Sampling in Analysis of Recreation Demand: Economic Value and Impact of Visitation to Cape Hatteras National Seashore," Marine Resource Economics, University of Chicago Press, vol. 31(3), pages 301-322.
    • Handle: RePEc:ucp:mresec:doi:10.1086/686892
    DOI: 10.1086/686892
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    References listed on IDEAS

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    2. Ehrlich, Oren & Bi, Xiang & Borisova, Tatiana & Larkin, Sherry, 2017. "A latent class analysis of public attitudes toward water resources with implications for recreational demand," Ecosystem Services, Elsevier, vol. 28(PA), pages 124-132.
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    4. Follett, Lendie & Naald, Brian Vander, 2023. "Heterogeneity in choice experiment data: A Bayesian investigation," Journal of choice modelling, Elsevier, vol. 46(C).

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