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Comparing Fuzzy and Probabilistic Approaches to Preference Uncertainty in Non-Market Valuation

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  • Lili Sun
  • G. Kooten

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  • Lili Sun & G. Kooten, 2009. "Comparing Fuzzy and Probabilistic Approaches to Preference Uncertainty in Non-Market Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(4), pages 471-489, April.
    • Handle: RePEc:kap:enreec:v:42:y:2009:i:4:p:471-489
    DOI: 10.1007/s10640-008-9219-7
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    References listed on IDEAS

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    1. Shaikh, Sabina L. & Sun, Lili & van Kooten, G. Cornelis, 2005. "Are Agricultural Values a Reliable Guide in Determining Landowners’ Decisions to Create Carbon Forest Sinks?," Working Papers 37017, University of Victoria, Resource Economics and Policy.
    2. Magnus Johannesson & Bengt Liljas & Per-Olov Johansson, 1998. "An experimental comparison of dichotomous choice contingent valuation questions and real purchase decisions," Applied Economics, Taylor & Francis Journals, vol. 30(5), pages 643-647.
    3. Alberini, Anna & Boyle, Kevin & Welsh, Michael, 2003. "Analysis of contingent valuation data with multiple bids and response options allowing respondents to express uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 40-62, January.
    4. Horowitz, John K. & McConnell, Kenneth E., 2002. "A Review of WTA/WTP Studies," Journal of Environmental Economics and Management, Elsevier, vol. 44(3), pages 426-447, November.
    5. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    6. Ready Richard C. & Whitehead John C. & Blomquist Glenn C., 1995. "Contingent Valuation When Respondents Are Ambivalent," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 181-196, September.
    7. Richard C. Ready & Ståle Navrud & RW. Richard Dubourg, 2001. "How Do Respondents with Uncertain Willingness to Pay Answer Contingent Valuation Questions?," Land Economics, University of Wisconsin Press, vol. 77(3), pages 315-326.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. Rakesh Paliwal & Gejo Geevarghese & P. Ram Babu & P. Khanna, 1999. "Valuation of Landmass Degradation Using Fuzzy Hedonic Method: A Case Study of National Capital Region," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 14(4), pages 519-543, December.
    10. Karen Blumenschein & Magnus Johannesson & Glenn C. Blomquist & Bengt Liljas & Richard M. O’Conor, 1998. "Experimental Results on Expressed Certainty and Hypothetical Bias in Contingent Valuation," Southern Economic Journal, John Wiley & Sons, vol. 65(1), pages 169-177, July.
    11. Champ, Patricia A. & Bishop, Richard C. & Brown, Thomas C. & McCollum, Daniel W., 1997. "Using Donation Mechanisms to Value Nonuse Benefits from Public Goods," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 151-162, June.
    12. Nunes, Paulo A. L. D. & Schokkaert, Erik, 2003. "Identifying the warm glow effect in contingent valuation," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 231-245, March.
    13. Mary F. Evans & Nicholas E. Flores & Kevin J. Boyle, 2003. "Multiple-Bounded Uncertainty Choice Data as Probabilistic Intentions," Land Economics, University of Wisconsin Press, vol. 79(4), pages 549-560.
    14. Shaikh, Sabina L. & Sun, Lili & Cornelis van Kooten, G., 2007. "Treating respondent uncertainty in contingent valuation: A comparison of empirical treatments," Ecological Economics, Elsevier, vol. 62(1), pages 115-125, April.
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    Cited by:

    1. Sergio Colombo & Wiktor Budziński & Mikołaj Czajkowski & Klaus Glenk, 2022. "The relative performance of ex‐ante and ex‐post measures to mitigate hypothetical and strategic bias in a stated preference study," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 845-873, September.
    2. Søren Olsen & Thomas Lundhede & Jette Jacobsen & Bo Thorsen, 2011. "Tough and Easy Choices: Testing the Influence of Utility Difference on Stated Certainty-in-Choice in Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 491-510, August.

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    More about this item

    Keywords

    Random utility maximization and fuzzy logic; Contingent valuation and preference uncertainty; c-Means clustering; Forest economics; Q51; C35;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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