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Benefits Transfer And Count Data Travel Cost Models: An Application And Test Of A Varying Parameter Approach With Guided Whitewater Rafting

Author

Listed:
  • J. Michael BOWKER
  • Donald B.K. ENGLISH
  • John BERGSTROM

Abstract

We combine currently popular count data methods with earlier work by Vaughan and Russell on varying parameter travel cost models to model trip demand and calculate consumer surplus. We test and reject the hypothesis that per trip consumer surplus from guided rafting is invariant to river characteristics. We then develop and test a series of benefit transfer functions against benefits derived from individual river models. Our findings suggest that this flexible form of count data model offers considerable promise as a benefit transfer function.

Suggested Citation

  • J. Michael BOWKER & Donald B.K. ENGLISH & John BERGSTROM, 1997. "Benefits Transfer And Count Data Travel Cost Models: An Application And Test Of A Varying Parameter Approach With Guided Whitewater Rafting," Faculty Series 97-03, University of Georgia, Department of Agricultural and Applied Economics.
    • Handle: RePEc:wop:geaafs:9703
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    Cited by:

    1. Rosenberger, Randall S. & Stanley, Tom D., 2006. "Measurement, generalization, and publication: Sources of error in benefit transfers and their management," Ecological Economics, Elsevier, vol. 60(2), pages 372-378, December.
    2. Brander, Luke M. & Ghermandi, Andrea & Kuik, Onno & Markandya, Anil & Nunes, Paulo A.L.D. & Schaafsma, Marije & Wagtendonk, Alfred, 2010. "Scaling up Ecosystem Services Values: Methodology, Applicability and a Case Study," Sustainable Development Papers 60689, Fondazione Eni Enrico Mattei (FEEM).
    3. Bal, Frans & Nijkamp, Peter, 2001. "In search of valid results in a complex economic environment: The potential of meta-analysis and value transfer," European Journal of Operational Research, Elsevier, vol. 128(2), pages 364-384, January.

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