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Accounting for Respondent Uncertainty to Improve Willingness‐to‐Pay Estimates

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  • Rebecca Moore
  • Richard C. Bishop
  • Bill Provencher
  • Patricia A. Champ

Abstract

In this paper, we develop an econometric model of willingness to pay (WTP) that integrates data on respondent uncertainty regarding their own WTP. The integration is utility consistent, there is no recoding of variables, and no need to calibrate the contingent responses to actual payment data, so the approach can “stand alone.” In an application to a valuation study related to whooping crane restoration, we find that this model generates a statistically lower expected WTP than the standard contingent valuation (CV) model. Moreover, the WTP function estimated with this model is not statistically different from that estimated using actual payment data suggesting that, when properly analyzed using data on respondent uncertainty, CV decisions can simulate actual payment decisions. This method allows for more reliable estimates of WTP that incorporate respondent uncertainty without the need for collecting comparable actual payment data. Dans le présent article, nous avons élaboré un modèle économétrique d’estimation qui internalise l’incertitude des répondants quant à leur propre consentement à payer. L’internalisation est fidèle à la notion «d’utilité»; il n’a pas été nécessaire de transformer les variables ni de calibrer les réponses des répondants avec des paiements réels. L’application de la méthode n’est donc pas dépendante d’autres données ou méthodes. Dans une étude d’évaluation sur le rétablissement de la grue blanche d’Amérique dans laquelle ce modèle a été utilisé, nous avons trouvé que le consentement à payer attendu était statistiquement plus faible que celui obtenu à l’aide de la méthode d’évaluation contingente standard. Par ailleurs, la fonction de consentement à payer estimée à l’aide de ce modèle n’est pas statistiquement différente de celle estimée à l’aide de paiements réels. Cette observation autorise à penser que, lorsque le modèle tient compte des données sur l’incertitude des répondants, les décisions obtenues à l’aide de la méthode d’évaluation contingente peuvent simuler les décisions obtenues à l’aide de paiements réels. Cette méthode permet d’obtenir des estimations du consentement à payer plus fiables, lesquelles intègrent l’incertitude des répondants sans la nécessité de collecter des données comparables de paiements réels.

Suggested Citation

  • Rebecca Moore & Richard C. Bishop & Bill Provencher & Patricia A. Champ, 2010. "Accounting for Respondent Uncertainty to Improve Willingness‐to‐Pay Estimates," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(3), pages 381-401, September.
  • Handle: RePEc:bla:canjag:v:58:y:2010:i:3:p:381-401
    DOI: 10.1111/j.1744-7976.2010.01190.x
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    2. Catherine M. H. Keske & Adam Mayer, 2014. "Visitor Willingness to Pay U.S. Forest Service Recreation Fees in New West Rural Mountain Economies," Economic Development Quarterly, , vol. 28(1), pages 87-100, February.
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    4. 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.
    5. 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.
    6. Allen, Karen E. & Moore, Rebecca, 2016. "Moving beyond the exchange value in the nonmarket valuation of ecosystem services," Ecosystem Services, Elsevier, vol. 18(C), pages 78-86.
    7. Provencher, Bill & Lewis, David J. & Anderson, Kathryn, 2012. "Disentangling preferences and expectations in stated preference analysis with respondent uncertainty: The case of invasive species prevention," Journal of Environmental Economics and Management, Elsevier, vol. 64(2), pages 169-182.
    8. Ewa Zawojska & Pierre-Alexandre Mahieu & Romain Crastes & Jordan Louviere, 2016. "On a way to overcome strategic overbidding in open-ended stated preference surveys: A recoding approach," Working Papers 2016-34, Faculty of Economic Sciences, University of Warsaw.
    9. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    10. Sharma, Sadikshya & Kreye, Melissa M., 2022. "Social value of bird conservation on private forest lands in Pennsylvania, USA," Ecological Economics, Elsevier, vol. 196(C).

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