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Conjoint Analysis Of Deer Hunting

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  • MacKenzie, John
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    Abstract

    This paper develops a logit-based conjoint analysis of willingness to pay for individual attributes of deer-hunting trips. Since deer-hunting success is uncertain, willingness to pay for enhanced likelihood of bagging a deer, rather than for certain success, is evaluated. Implicit costs of recreational travel time are also evaluated from hypothetical trade-offs between travel time and trip expenditures. The valuation of travel time derived here appears to reflect more the opportunity cost of foregone hunting than the opportunity cost of foregone work. This implies that travel-cost analyses of recreational demand, which impute costs of recreational travel solely from wage data, can yield biased valuations of recreational amenities.

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    Bibliographic Info

    Article provided by Northeastern Agricultural and Resource Economics Association in its journal Northeastern Journal of Agricultural and Resource Economics.

    Volume (Year): 19 (1990)
    Issue (Month): 2 (October)
    Pages:

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    Handle: RePEc:ags:nejare:29029

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    Web page: http://www.narea.org/
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    Keywords: Resource /Energy Economics and Policy;

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    1. Cameron, Trudy Ann & James, Michelle D, 1987. "Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 269-76, May.
    2. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    3. Madansky, Albert, 1980. "On Conjoint Analysis and Quantal Choice Models," The Journal of Business, University of Chicago Press, vol. 53(3), pages S37-44, July.
    4. Goodman, Allen C., 1989. "Identifying willingness-to-pay for heterogeneous goods with factorial survey methods," Journal of Environmental Economics and Management, Elsevier, vol. 16(1), pages 58-79, January.
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    Cited by:
    1. Holland, Daniel S. & Roheim, Cathy A., 1998. "Predicting Consumer Preferences For Fresh Salmon: The Influence Of Safety Inspection And Production Method Attributes," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(1), April.
    2. Curtis, John A. & Lynch, Lori, 2001. "Explaining Deer Population Preferences: An Analysis Of Farmers, Hunters And The General Public," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 30(1), April.
    3. Swallow, Stephen K. & Opaluch, James J. & Weaver, Thomas F., 2001. "Strength-of-Preference Indicators and an Ordered-Response Model for Ordinarily Dichotomous, Discrete Choice Data," Journal of Environmental Economics and Management, Elsevier, vol. 41(1), pages 70-93, January.
    4. Harrison, R. Wes & Gillespie, Jeffrey M. & Fields, Deacue, 2005. "Analysis of Cardinal and Ordinal Assumptions in Conjoint Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 34(2), October.
    5. Stevens, Thomas H. & Barrett, Christopher B. & Willis, Cleve E., 1997. "Conjoint Analysis Of Groundwater Protection Programs," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(2), October.
    6. Harrison, R. Wes & Gillespie, Jeffrey M. & Fields, Deacue, 2001. "Theoretical And Empirical Considerations Of Eliciting Preferences And Model Estimation In Conjoint Analysis," 2001 Annual meeting, August 5-8, Chicago, IL 20680, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Sayadi, Samir & Gonzalez Roa, M. Carmen & Calatrava Requena, Javier, 2005. "Ranking versus scale rating in conjoint analysis: Evaluating landscapes in mountainous regions in southeastern Spain," Ecological Economics, Elsevier, vol. 55(4), pages 539-550, December.

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