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A Comparison of Willingness to Pay Estimation Techniques From Referendum Questions

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  • Kelly Giraud
  • John Loomis
  • Joseph Cooper

Abstract

Referendum style willingness to pay questions have been used to estimatepassive use values. This referendum question format method may beproblematic for many reasons, including the statistical techniques used toestimate willingness to pay from discrete responses. This paper comparesa number of parametric, semi-nonparametric and nonparametric estimationtechniques using data collected from US households regarding Federalprotection of endangered fish species.The advantages and disadvantagesof the various statistical models used are explored. A hypothesis test forstatistical equality among estimation techniques is performed using ajackknife bootstrapping method. When the equality test is applied, themodeling techniques do show significant differences in some possiblecomparisons, but only those that are nonparamentric. This can lead toconflicting interpretations of what the data show. Resource managers andpolicy analysts need to use caution when interpreting results until anindustry standard can be developed for estimating willingness to pay fromclosed ended questions. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • Kelly Giraud & John Loomis & Joseph Cooper, 2001. "A Comparison of Willingness to Pay Estimation Techniques From Referendum Questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(4), pages 331-346, December.
    • Handle: RePEc:kap:enreec:v:20:y:2001:i:4:p:331-346
    DOI: 10.1023/A:1013025120987
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    Cited by:

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    2. George Parsons & Kelley Myers, 2017. "Fat tails and truncated bids in contingent valuation: an application to an endangered shorebird species," Chapters, in: Daniel McFadden & Kenneth Train (ed.), Contingent Valuation of Environmental Goods, chapter 2, pages 17-42, Edward Elgar Publishing.
    3. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    4. Halkos, George, 2012. "The use of contingent valuation in assessing marine and coastal ecosystems’ water quality: A review," MPRA Paper 42183, University Library of Munich, Germany.
    5. Penn, Jerrod & Hu, Wuyang & Ye, Tao, 2024. "Efficacy of hypothetical bias mitigation techniques: A cross-country comparison," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    6. Schlapfer, Felix, 2006. "Survey protocol and income effects in the contingent valuation of public goods: A meta-analysis," Ecological Economics, Elsevier, vol. 57(3), pages 415-429, May.
    7. Leslie Richardson & John B. Loomis & Patricia A. Champ, 2013. "Valuing Morbidity from Wildfire Smoke Exposure: A Comparison of Revealed and Stated Preference Techniques," Land Economics, University of Wisconsin Press, vol. 89(1), pages 76-100.
    8. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
    9. Moritz A. Drupp & Zachary M. Turk & Ben Groom & Jonas Heckenhahn, 2024. "Limited Substitutability, Relative Price Changes and the Uplifting of Public Natural Capital Values," CESifo Working Paper Series 11156, CESifo.
    10. Nabila Arfaoui & Amandine Gnonlonfin, 2019. "The economic value of NBS restoration measures and their benefits in a river basin context: A meta-analysis regression," Policy Papers 2019.02, FAERE - French Association of Environmental and Resource Economists.
    11. Gordillo, Fernando & Elsasser, Peter & Günter, Sven, 2019. "Willingness to pay for forest conservation in Ecuador: Results from a nationwide contingent valuation survey in a combined “referendum” – “Consequential open-ended” design," Forest Policy and Economics, Elsevier, vol. 105(C), pages 28-39.
    12. Douglas Noonan, 2003. "Contingent Valuation and Cultural Resources: A Meta-Analytic Review of the Literature," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(3), pages 159-176, November.

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