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Multiple-Bounded Uncertainty Choice Data as Probabilistic Intentions

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  • Mary F. Evans
  • Nicholas E. Flores
  • Kevin J. Boyle

Abstract

The multiple-bounded uncertainty choice (MBUC) value elicitation method allows respondents to indicate qualitative levels of uncertainty, as opposed to a simple yes or no, across a range of prices. We argue that MBUC responses convey subjective probabilities. We examine the decision process of the researcher faced with estimating population parameters from MBUC sample responses. We develop her optimal decision rule based on a specified loss function. The resulting estimator accommodates uncertainty on the part of the respondent and the researcher. We illustrate the proposed estimation method using MBUC responses from the first field application of this elicitation format. The resulting framework produces stable estimates and nests alternative methods of modeling MBUC responses.

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Bibliographic Info

Article provided by University of Wisconsin Press in its journal Land Economics.

Volume (Year): 79 (2003)
Issue (Month): 4 ()
Pages: 549-560

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Handle: RePEc:uwp:landec:v:79:y:2003:i:4:p:549-560

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Cited by:
  1. Karen Blumenschein & GlennC. Blomquist & Magnus Johannesson & Nancy Horn & Patricia Freeman, 2008. "Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment," Economic Journal, Royal Economic Society, vol. 118(525), pages 114-137, 01.
  2. Christian Vossler & Michael McKee, 2006. "Induced-Value Tests of Contingent Valuation Elicitation Mechanisms," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 35(2), pages 137-168, October.
  3. Wang, Hua & Shi, Yuyan & Kim, Yoonhee & Kamata, Takuya, 2013. "Valuing water quality improvement in China: A case study of Lake Puzhehei in Yunnan Province," Ecological Economics, Elsevier, vol. 94(C), pages 56-65.
  4. Lili Sun & G. Kooten, 2009. "Comparing Fuzzy and Probabilistic Approaches to Preference Uncertainty in Non-Market Valuation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(4), pages 471-489, April.
  5. Kelvin Balcombe & Aurelia Samuel & Iain Fraser, 2009. "Estimating WTP With Uncertainty Choice Contingent Valuation," Studies in Economics 0921, Department of Economics, University of Kent.
  6. Bigerna, Simona & Polinori, Paolo, 2014. "Italian households׳ willingness to pay for green electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 110-121.
  7. Vossler, Christian A., 2003. "Multiple bounded discrete choice contingent valuation: parametric and nonparametric welfare estimation and a comparison to the payment card," MPRA Paper 38867, University Library of Munich, Germany.
  8. Kehlbacher, A. & Bennett, R. & Balcombe, K., 2012. "Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling," Food Policy, Elsevier, vol. 37(6), pages 627-633.
  9. Kelvin Balcombe & Iain Fraser, 2009. "A General Treatment of Non-Response Data From Choice Experiments Using Logit Models," Studies in Economics 0916, Department of Economics, University of Kent.
  10. Boman, Mattias, 2009. "To pay or not to pay for biodiversity in forests - What scale determines responses to willingness to pay questions with uncertain response options?," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 79-91, January.
  11. Wang, Hua & Shi, Yuyan & Kim, Yoonhee & Kamata, Takuya, 2011. "Valuing water quality improvement in China : a case study of lake Puzhehei in Yunnan province," Policy Research Working Paper Series 5766, The World Bank.
  12. 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.
  13. Glenn Blomquist & Karen Blumenschein & Magnus Johannesson, 2009. "Eliciting Willingness to Pay without Bias using Follow-up Certainty Statements: Comparisons between Probably/Definitely and a 10-point Certainty Scale," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 43(4), pages 473-502, August.
  14. GB. Concu, 2004. "A choice modelling approach to investigate biases in individual and aggregated benefit estimates due to omission of distance," Working Paper CRENoS 200412, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  15. Thomas Broberg, 2010. "Income Treatment Effects in Contingent Valuation: The Case of the Swedish Predator Policy," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 46(1), pages 1-17, May.
  16. Vossler, Christian A. & Poe, Gregory L., 2005. "Analysis of contingent valuation data with multiple bids and response options allowing respondents to express uncertainty: a comment," Journal of Environmental Economics and Management, Elsevier, vol. 49(1), pages 197-200, January.
  17. Wang, Hua & Xie, Jian & Li, Honglin, 2010. "Water pricing with household surveys: A study of acceptability and willingness to pay in Chongqing, China," China Economic Review, Elsevier, vol. 21(1), pages 136-149, March.

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