IDEAS home Printed from https://ideas.repec.org/a/ags/nejare/29029.html
   My bibliography  Save this article

Conjoint Analysis Of Deer Hunting

Author

Listed:
  • MacKenzie, John

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.

Suggested Citation

  • MacKenzie, John, 1990. "Conjoint Analysis Of Deer Hunting," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 19(2), October.
  • Handle: RePEc:ags:nejare:29029
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/29029
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. 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 269-276, May.
    3. Kevin J. Boyle & Richard C. Bishop, 1988. "Welfare Measurements Using Contingent Valuation: A Comparison of Techniques," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 20-28.
    4. 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.
    5. Madansky, Albert, 1980. "On Conjoint Analysis and Quantal Choice Models," The Journal of Business, University of Chicago Press, vol. 53(3), pages 37-44, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Mingie, James C. & Poudyal, Neelam C. & Bowker, J.M. & Mengak, Michael T. & Siry, Jacek P., 2017. "Big game hunter preferences for hunting club attributes: A choice experiment," Forest Policy and Economics, Elsevier, vol. 78(C), pages 98-106.
    3. Häggmark-Svensson, Tobias & Elofsson, Katarina & Engelmann, Marc & Gren, Ing-Marie, 2015. "A review of the literature on benefits, costs, and policies for wildlife management," Working Paper Series 2015:1, Swedish University of Agricultural Sciences, Department Economics.
    4. Camilo Andres Garzon & Maria Catalina Rey & Paula Juliana Sarmiento & Juan Camilo Cardenas, 2016. "Fisheries, fish pollution and biodiversity: choice experiments with fishermen, traders and consumers," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 333-353, December.
    5. Curtis, John & Lynch, Lori, 2001. "Explaining Deer Population Preferences: An Analysis of Farmers, Hunters and the General Public," Agricultural and Resource Economics Review, Cambridge University Press, vol. 30(01), pages 44-55, April.
    6. Holland, Daniel & Wessells, Cathy R., 1998. "Predicting Consumer Preferences for Fresh Salmon: The Influence of Safety Inspection and Production Method Attributes," Agricultural and Resource Economics Review, Cambridge University Press, vol. 27(01), pages 1-14, April.
    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.
    8. 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.
    9. 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.
    10. 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).
    11. Luís Cruz & Paula Simões & Eduardo Barata, 2014. "Combining Observed and Contingent Travel Behaviour: The Best of Both Worlds?," Notas Económicas, Faculty of Economics, University of Coimbra, issue 40, pages 7-25, December.

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:nejare:29029. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/nareaea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.