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The Welfare Impacts of Unanticipated Trip Limitations in Travel Cost Models

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  • Richard T. Woodward
  • Dhazn Gillig
  • Wade L. Griffin
  • Teofilo Ozuna, Jr.

Abstract

Travel cost models are routinely used to assess the impact of policy changes on consumer’ s surplus. In this paper we show that when the policy change leads to a partial closure of the resource, then the standard use of consumer’ s surplus per trip can be inappropriate depending upon the theoretical behavioral model underlying the analysis. We demonstrate the importance of theoretical model choice using an analysis of the Gulf of Mexico’ s recreational red snapper ® shery.

Suggested Citation

  • Richard T. Woodward & Dhazn Gillig & Wade L. Griffin & Teofilo Ozuna, Jr., 2001. "The Welfare Impacts of Unanticipated Trip Limitations in Travel Cost Models," Land Economics, University of Wisconsin Press, vol. 77(3), pages 327-338.
  • Handle: RePEc:uwp:landec:v:77:y:2001:i:3:p:327-338
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    References listed on IDEAS

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    1. Blomo, Vito & Stokes, Kenneth W. & Griffin, Wade L. & Grant, William & Nichols, John P., 1978. "Bioeconomic Modeling Of The Gulf Shrimp Fishery: An Application To Galveston Bay And Adjacent Offshore Areas," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 10(1), pages 1-7, July.
    2. Blomo, Vito & Stokes, Kenneth & Griffin, Wade & Grant, William & Nichols, John, 1978. "Bioeconomic Modeling of the Gulf Shrimp Fishery: An Application to Galveston Bay and Adjacent Offshore Areas," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 10(1), pages 119-125, July.
    3. Vito J. Blomo & John P. Nichols & Wade L. Griffin & William E. Grant, 1982. "Dynamic Modeling of the Eastern Gulf of Mexico Shrimp Fishery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(3), pages 475-482.
    4. Lankford, R. Hamilton, 1988. "Measuring welfare changes in settings with imposed quantities," Journal of Environmental Economics and Management, Elsevier, vol. 15(1), pages 45-63, March.
    5. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-238, July-Sept.
    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. V. Kerry Smith, 1988. "Selection and Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 29-36.
    8. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    9. Daniel Hellerstein & Robert Mendelsohn, 1993. "A Theoretical Foundation for Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 604-611.
    10. Morey Edward R., 1994. "What Is Consumer's Surplus Per Day of Use, When Is It a Constant Independent of the Number of Days of Use, and What Does It Tell Us about Consumers Surplus?," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 257-270, May.
    11. Ozuna, Teofilo, Jr & Gomez, Irma Adriana, 1995. "Specification and Testing of Count Data Recreation Demand Functions," Empirical Economics, Springer, vol. 20(3), pages 543-550.
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    1. Mkwara, Lena & Marsh, Dan & Scarpa, Riccardo, 2015. "The effect of within-season variability on estimates of recreational value for trout anglers in New Zealand," Ecological Economics, Elsevier, vol. 119(C), pages 338-345.

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    More about this item

    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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