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Estimating the Demand for Salmon Angling in Ireland

  • John A. Curtis

    (The Economic and Social Research Institute, Dublin)

This paper reports the results of a count data travel cost model for estimating the demand and economic value of salmon angling in Co. Donegal, Ireland. Angling quality, age and nationality were found to affect angling demand, while estimated consumer surplus per angler per day was approximately IR£138 based on a truncated negative binomial model allowing for endogenous stratification.

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File URL: http://www.esr.ie/Vol33_3Curtis.pdf
File Function: First version, 2002
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Article provided by Economic and Social Studies in its journal Economic and Social Review.

Volume (Year): 33 (2002)
Issue (Month): 3 ()
Pages: 319-332

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Handle: RePEc:eso:journl:v:33:y:2002:i:3:p:319-332
Contact details of provider: Web page: http://www.esr.ie

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  1. Kalyan Chakraborty & John Keith, 2000. "Estimating the Recreation Demand and Economic Value of Mountain Biking in Moab, Utah: An Application of Count Data Models," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 43(4), pages 461-469.
  2. Hellerstein, Daniel, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," MPRA Paper 25264, University Library of Munich, Germany.
  3. Shaw, W. Douglass & Jakus, Paul M., 1996. "Travel Cost Models Of The Demand For Rock Climbing," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(2), October.
  4. Font, Antoni Riera, 2000. "Mass Tourism and the Demand for Protected Natural Areas: A Travel Cost Approach," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 97-116, January.
  5. C. E. O'Neill & J. Davis, 1991. "Alternative Definitions Of Demand For Recreational Angling In Northern Ireland," Journal of Agricultural Economics, Wiley Blackwell, vol. 42(2), pages 174-179.
  6. Hausman, Jerry A, 1981. "Exact Consumer's Surplus and Deadweight Loss," American Economic Review, American Economic Association, vol. 71(4), pages 662-76, September.
  7. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-38, July-Sept.
  8. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
  9. Loomis, John B. & Yorizane, Shizuka & Larson, Douglas M., 2000. "Testing Significance Of Multi-Destination And Multi-Purpose Trip Effects In A Travel Cost Method Demand Model For Whale Watching Trips," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(2), October.
  10. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  11. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-12, February.
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