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An Analysis of Congestion Measures and Heterogeneous Angler Preferences in a Random Utility Model of Recreational Fishing

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Author Info
Peter Schuhmann
Kurt Schwabe
Abstract

The potential importance ofcongestion effects on the management andrationing of recreational facilities andservices in the presence of heterogeneouspreferences were highlighted nearly twenty-fiveyears ago by Freeman and Haveman (1977). Whilethere have been a number of theoretical modelsextending and expanding upon this work(McConnell 1988; Anderson 1993), empiricalresearch evaluating such impacts is limited. Evidence of the potential impacts of congestionon resource usage is of obvious importance,especially for natural resource managers whounderstand that congestion can be an effectiverationing device and because users likelydiffer in both their preferences for use andaversion to congestion. It is the objective ofthis research to compare alternative measuresof congestion for explaining site choice withina random utility modeling framework. Thecongestion measures differ with respect to thetime horizon over which they are assumed to beformulated and the measure of central tendencyused to represent them. Furthermore, weinvestigate how the response to thesecongestion measures may differ across twodistinct angler types and the implications ofthose differences on the per trip willingnessto pay for stock enhancement. Copyright Kluwer Academic Publishers 2004

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File URL: http://hdl.handle.net/10.1023/B:EARE.0000018517.33432.0b
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Publisher Info
Article provided by European Association of Environmental and Resource Economists in its journal Environmental and Resource Economics.

Volume (Year): 27 (2004)
Issue (Month): 4 (April)
Pages: 429-450
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Handle: RePEc:kap:enreec:v:27:y:2004:i:4:p:429-450

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Related research
Keywords: congestion; pricing policy; recreational resources;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Morey, Edward R. & Waldman, Donald M., 2000. "Joint Estimation of Catch and Other Travel-Cost Parameters--Some Further Thoughts," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 82-85, July. [Downloadable!] (restricted)
  2. Kaoru, Yoshiaki, 1995. "Measuring marine recreation benefits of water quality improvements by the nested random utility model," Resource and Energy Economics, Elsevier, vol. 17(2), pages 119-136, August. [Downloadable!] (restricted)
  3. McConnell, K. E., 1988. "Heterogeneous preferences for congestion," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 251-258, September. [Downloadable!] (restricted)
  4. Train, Kenneth & McFadden, Daniel & Johnson, Reed, 2000. "Discussion of Morey and Waldman's "Measurement Error in Recreation Demand Models"," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 76-81, July. [Downloadable!] (restricted)
  5. McConnell, K. E. & Duff, Virginia A., 1976. "Estimating net benefits of recreation under conditions of excess demand," Journal of Environmental Economics and Management, Elsevier, vol. 2(3), pages 224-230, February. [Downloadable!] (restricted)
  6. Becker, Gary S, 1991. "A Note on Restaurant Pricing and Other Examples of Social Influences on Price," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 1109-16, October. [Downloadable!] (restricted)
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  7. Morey, Edward R. & Waldman, Donald M., 1998. "Measurement Error in Recreation Demand Models: The Joint Estimation of Participation, Site Choice, and Site Characteristics," Journal of Environmental Economics and Management, Elsevier, vol. 35(3), pages 262-276, May. [Downloadable!] (restricted)
  8. Lin, Pei-Chien & Adams, Richard M. & Berrens, Robert P., 1996. "Welfare Effects Of Fishery Policies: Native American Treaty Rights And Recreational Salmon Fishing," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(02), December. [Downloadable!]
  9. McConnell, Kenneth E. & Strand, Ivar E. & Blake-Hedges, Lynne, 1995. "Random Utility Models of Recreational Fishing: Catching Fish Using a Poisson Process," Marine Resource Economics, Marine Resources Foundation, vol. 10(3). [Downloadable!]
  10. Bockstael, N. E. & McConnell, K. E. & Strand, I. E., 1989. "A Random Utility Model for Sportfishing: Some Preliminary Results for Florida," Marine Resource Economics, Marine Resources Foundation, vol. 6(3). [Downloadable!]
  11. Schuhmann, Peter W., 1998. "Deriving Species-Specific Benefits Measures For Expected Catch Improvements In A Random Utility Framework," Marine Resource Economics, Marine Resources Foundation, vol. 13(1). [Downloadable!]
  12. Bell, Frederick W. & Leeworthy, Vernon R., 1990. "Recreational demand by tourists for saltwater beach days," Journal of Environmental Economics and Management, Elsevier, vol. 18(3), pages 189-205, May. [Downloadable!] (restricted)
  13. Kling, Catherine L. & Bockstael, Nancy & Michael, W., 2005. "Estimating the Value of Water Quality Improvements in a Recreational Demand Framework," Staff General Research Papers 12334, Iowa State University, Department of Economics.
  14. Deyak, Timothy A. & Smith, V. Kerry, 1978. "Congestion and participation in outdoor recreation: A household production function approach," Journal of Environmental Economics and Management, Elsevier, vol. 5(1), pages 63-80, March. [Downloadable!] (restricted)
  15. Murphy, Kevin M & Topel, Robert H, 1985. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(4), pages 370-79, October.
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Christopher Timmins & Jennifer Murdock, 2006. "A Revealed Preference Approach to the Measurement of Congestion in Travel Cost Models," Working Papers tecipa-213, University of Toronto, Department of Economics. [Downloadable!]
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