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Travel Cost Models Of The Demand For Rock Climbing

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Author Info

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

Abstract

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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Bibliographic Info

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

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Web page: http://www.narea.org/
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Related research

Keywords: Resource /Energy Economics and Policy;

References

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  1. 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.
  2. Hellerstein, Daniel & Feather, Peter, 1997. "Calibrating Benefit Function Transfer to Assess the Conservation Reserve Program," MPRA Paper 25357, University Library of Munich, Germany.
  3. 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.
  4. 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.
  5. 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.
  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. 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.
  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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Citations

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Cited by:
  1. Smith, V. Kerry, 1997. "Time and the Valuation of Environmental Resources," Discussion Papers dp-98-07, Resources For the Future.
  2. Helmut Dietl & Egon Franck & Martin Grossmann & Markus Lang, 2009. "Contest Theory and its Applications in Sports," Working Papers 0029, University of Zurich, Center for Research in Sports Administration (CRSA).
  3. J. Shonkwiler & Nick Hanley, 2003. "A New Approach to Random Utility Modeling using the Dirichlet Multinomial Distribution," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 26(3), pages 401-416, November.
  4. Dupont, Diane P., 2004. "Do children matter? An examination of gender differences in environmental valuation," Ecological Economics, Elsevier, vol. 49(3), pages 273-286, July.
  5. Markus Lang & Alexander Rathke & Marco Runkel, 2009. "The Economic Consequences of Foreigner Rules in National Sports Leagues," Working Papers 0103, University of Zurich, Institute for Strategy and Business Economics (ISU), revised Jul 2009.
  6. Abdulbaki Bilgic & Wojciech Florkowski, 2009. "The impact of license regulation on the number of recreation trips: is it worth considering?," Journal of Regulatory Economics, Springer, vol. 35(1), pages 45-69, February.
  7. Riccardo Scarpa & Mara Thiene, 2004. "Destination Choice Models for Rock Climbing in the Northeast Alps: A Latent-Class Approach Based on Intensity of Participation," Working Papers 2004.131, Fondazione Eni Enrico Mattei.
  8. Stephen Hynes & Nick Hanley & Eoghan Garvey, 2007. "Up the Proverbial Creek without a Paddle: Accounting for Variable Participant Skill Levels in Recreational Demand Modelling," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 36(4), pages 413-426, April.
  9. Nick Hanley & Robert Wright & Gary Koop, 2002. "Modelling Recreation Demand Using Choice Experiments: Climbing in Scotland," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 22(3), pages 449-466, July.
  10. Meisner, Craig & Wang, Hua & Laplante, Benoit, 2006. "Welfare measurement bias in household and on-site surveying of water-based recreation : an application to Lake Sevan, Armenia," Policy Research Working Paper Series 3932, The World Bank.
  11. W. Shaw & Michael Ozog, 1999. "Modeling Overnight Recreation Trip Choice: Application of a Repeated Nested Multinomial Logit Model," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 13(4), pages 397-414, June.
  12. Allen, Bryon & Loomis, John B., 2004. "Economic Value of Original Non-Market Valuation Research," 2004 Annual meeting, August 1-4, Denver, CO 20263, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  13. John A. Curtis, 2002. "Estimating the Demand for Salmon Angling in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 33(3), pages 319-332.
  14. Jakus, Paul M. & Dowell, Paula & Murray, Matthew N., 2000. "The Effect Of Fluctuating Water Levels On Reservoir Fishing," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(02), December.
  15. Morey, Edward R. & Kritzberg, David, 2012. "It's not where you do it, it's who you do it with?," Journal of choice modelling, Elsevier, vol. 5(3), pages 176-191.
  16. Hanley, Nick & Mourato, Susana & Wright, Robert E, 2001. " Choice Modelling Approaches: A Superior Alternative for Environmental Valuation?," Journal of Economic Surveys, Wiley Blackwell, vol. 15(3), pages 435-62, July.
  17. Ojumu, Oluwagbemiga & Hite, Diane & Fields, Deacue, 2009. "Estimating Demand For Recreational Fishing In Alabama Using Travel Cost Model," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46858, Southern Agricultural Economics Association.
  18. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.

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