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Using the demand for hunting licences to evaluate contingent valuation estimates of willingness to pay

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  • John Loomis
  • Cynthia Pierce
  • Mike Manfredo

Abstract

Taking advantage of differences in inflation adjusted licence prices over time, the demand for hunting licences is estimated. This introduces a different type of validity test which compares willingness to pay derived from actual licence demand to estimates of hunting benefits derived by the contingent valuation method. Willingness to pay estimates for deer and elk hunting derived from contingent valuation are statistically less than corresponding estimates from the actual licence sale demand analysis.

Suggested Citation

  • John Loomis & Cynthia Pierce & Mike Manfredo, 2000. "Using the demand for hunting licences to evaluate contingent valuation estimates of willingness to pay," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 435-438.
  • Handle: RePEc:taf:apeclt:v:7:y:2000:i:7:p:435-438
    DOI: 10.1080/135048500351122
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    References listed on IDEAS

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    1. W. Michael Hanemann, 1989. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Response Data: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(4), pages 1057-1061.
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    3. Richard T. Carson & Nicholas E. Flores & Kerry M. Martin & Jennifer L. Wright, 1996. "Contingent Valuation and Revealed Preference Methodologies: Comparing the Estimates for Quasi-Public Goods," Land Economics, University of Wisconsin Press, vol. 72(1), pages 80-99.
    4. Timothy Park & John B. Loomis & Michael Creel, 1991. "Confidence Intervals for Evaluating Benefits Estimates from Dichotomous Choice Contingent Valuation Studies," Land Economics, University of Wisconsin Press, vol. 67(1), pages 64-73.
    5. Bishop, Richard C. & Heberlein, Thomas A., 1979. "Measuring Values Of Extramarket Goods: Are Indirect Measures Biased?," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Richard C. Bishop & Thomas A. Heberlein, 1979. "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 926-930.
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    Cited by:

    1. Baker, Rick & Ruting, Brad, 2014. "Environmental Policy Analysis: A Guide to Non‑Market Valuation," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165810, Australian Agricultural and Resource Economics Society.
    2. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    3. M. R. Bhatia & J. A. Fox-Rushby, 2003. "Validity of Willingness to Pay: hypothetical versus actual payment," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 737-740.
    4. Pang, Arwin, 2017. "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting," Journal of Forest Economics, Elsevier, vol. 28(C), pages 12-17.
    5. Kemper, Nathan & Nayga, Rodolfo M. Jr. & Popp, Jennie & Bazzani, Claudia, 2016. "The Effects of Honesty Oath and Consequentiality in Choice Experiments," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235381, Agricultural and Applied Economics Association.
    6. Frondel Manuel & Sommer Stephan, 2017. "Der Wert von Versorgungssicherheit mit Strom: Evidenz für deutsche Haushalte," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 66(3), pages 294-317, December.
    7. Loomis, John B., 2014. "2013 WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-13, April.
    8. Gonzalez, Juan Marcos & Loomis, John B. & Gonzalez-Caban, Armando, 2008. "A Joint Estimation Method to Combine Dichotomous Choice CVM Models with Count Data TCM Models Corrected for Truncation and Endogenous Stratification," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-15, August.
    9. Alexander F. Wagner & Friedrich Schneider, 2006. "Satisfaction with Democracy and the Environment in Western Europe – a Panel Analysis," CESifo Working Paper Series 1660, CESifo.

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