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Travel Cost Models Of The Demand For Rock Climbing

  • Shaw, W. Douglass
  • Jakus, Paul M.

In this paper we estimate the demand for rock climbing and calculate welfare measures for changing access to a number of climbs at a climbing area. In addition to the novel recreation application, we extend the travel cost methodology by combining the double hurdle count data model (DH) with a multinomial logit model of site-choice. The combined model allows us simultaneously to explain the decision to participate and to allocate trips among sites. The application is to climbers who visit one of the premiere rock-climbing areas in the northeastern United States and its important substitute sites. We also estimate a conventional welfare measure, which is the maximum WTP to avoid loss of access to the climbing site.

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File URL: http://purl.umn.edu/31408
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Article provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.

Volume (Year): 25 (1996)
Issue (Month): 2 (October)
Pages:

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Handle: RePEc:ags:arerjl:31408
Contact details of provider: Web page: http://www.narea.org/
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  1. Peter Feather & Daniel Hellerstein, 1997. "Calibrating Benefit Function Transfer to Assess the Conservation Reserve Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 151-162.
  2. Shonkwiler, John Scott & Shaw, W. Douglass, 1996. "Hurdle Count-Data Models In Recreation Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(02), December.
  3. Timothy C. Haab & Kenneth E. McConnell, 1996. "Count Data Models and the Problem of Zeros in Recreation Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 89-102.
  4. Feather Peter & Hellerstein Daniel & Tomasi Theodore, 1995. "A Discrete-Count Model of Recreational Demand," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 214-227, September.
  5. Parsons George R. & Kealy Mary Jo, 1995. "A Demand Theory for Number of Trips in a Random Utility Model of Recreation," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 357-367, November.
  6. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
  7. Hanemann, W. Michael, 1982. "Applied Welfare Analysis with Qualitative Response Models," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7982f0k8, Department of Agricultural & Resource Economics, UC Berkeley.
  8. Hausman, Jerry A. & Leonard, Gregory K. & McFadden, Daniel, 1995. "A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage," Journal of Public Economics, Elsevier, vol. 56(1), pages 1-30, January.
  9. Morey, Edward R. & Shaw, W. Douglass & Rowe, Robert D., 1991. "A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available," Journal of Environmental Economics and Management, Elsevier, vol. 20(2), pages 181-201, March.
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