The incorporation of subjective risks into choice experiments to test scenario adjustment
AbstractIn choice experiment (CE) applications, subjects are typically assumed to fully accept information given in the status quo (SQ) alternative, however, subjects might adjust such information on the basis of their subjective beliefs. This phenomenon is known as scenario adjustment. By using a CE field survey, we investigate whether subjects adjust risks portrayed in the SQ using their subjective estimates via a two-stage approach. In the first stage, subjective risks are elicited using the exchangeability method. In the second stage, two treatment groups are designed. In the first group, each subject is presented with a SQ which incorporates her/his own subjective risk estimate, and, hence, no adjustment is required. In the second group, each subject faces a SQ where the presented risk is not consistent with her/his own estimate, and, hence, a mental adjustment to the scenario might take place. Our modeling results suggest that subjects who are provided with a SQ in which the risk is lower than their own subjective estimates have a higher maximum willingness to pay (WTP) for a risk reduction than subjects provided with a SQ where the risk is consistent with their perceptions. Hence, in this case the scenario adjustment takes place. In contrast, subjects who are presented with a SQ where the risk is higher than their subjective estimates, overreact to the risk information, and have a higher WTP for the risk reduction than subjects who face a SQ where the presented risk is consistent with their perceived risks. Hence, in this case they appear to go along with the information in the SQ and abandon their subjective estimate
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Bibliographic InfoPaper provided by Italian Association of Agricultural and Applied Economics (AIEAA) in its series 2013 Second Congress, June 6-7, 2013, Parma, Italy with number 149894.
Date of creation: Jun 2013
Date of revision:
subjective risks; risk information; scenario adjustment; choice experiment; best-worst pivot design; Consumer/Household Economics; Demand and Price Analysis; C83; C93; D81; Q18;
Find related papers by JEL classification:
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
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- Steffen Andersen & Glenn Harrison & Morten Lau & E. Rutström, 2009.
"Elicitation using multiple price list formats,"
Springer, vol. 12(3), pages 365-366, September.
- Peter Wakker & Daniel Deneffe, 1996. "Eliciting von Neumann-Morgenstern Utilities When Probabilities Are Distorted or Unknown," Management Science, INFORMS, vol. 42(8), pages 1131-1150, August.
- Travisi, Chiara Maria & Nijkamp, Peter, 2008. "Valuing environmental and health risk in agriculture: A choice experiment approach to pesticides in Italy," Ecological Economics, Elsevier, vol. 67(4), pages 598-607, November.
- Cerroni, Simone & Notaro, Sandra & Shaw, W. Douglass, 2012. "Eliciting and estimating valid subjective probabilities: An experimental investigation of the exchangeability method," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 201-215.
- Daniel Burghart & Trudy Cameron & Geoffrey Gerdes, 2007. "Valuing publicly sponsored research projects: Risks, scenario adjustments, and inattention," Journal of Risk and Uncertainty, Springer, vol. 35(1), pages 77-105, August.
- Viscusi, W Kip, 1985. "Are Individuals Bayesian Decision Makers?," American Economic Review, American Economic Association, vol. 75(2), pages 381-85, May.
- David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
- Cameron, Trudy Ann, 2005.
"Individual option prices for climate change mitigation,"
Journal of Public Economics,
Elsevier, vol. 89(2-3), pages 283-301, February.
- Trudy Ann Cameron, 2002. "Individual Option Prices for Climate Change Mitigation," University of Oregon Economics Department Working Papers 2003-9, University of Oregon Economics Department, revised 20 Jul 2002.
- Viscusi, W Kip, 1997. "Alarmist Decisions with Divergent Risk Information," Economic Journal, Royal Economic Society, vol. 107(445), pages 1657-70, November.
- David A. Hensher & Zheng Li, 2012. "Valuing Travel Time Variability within a Rank-Dependent Utility Framework and an Investigation of Unobserved Taste Heterogeneity," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 46(2), pages 293-312, May.
- Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, 05.
- Riccardo Scarpa & Sandra Notaro & Jordan Louviere & Roberta Raffaelli, 2010. "Exploring Scale Effects of Best/Worst Rank Ordered Choice Data to Estimate Benefits of Tourism in Alpine Grazing Commons," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 809-824.
- Train,Kenneth E., 2009.
"Discrete Choice Methods with Simulation,"
Cambridge University Press, number 9780521747387, December.
- Carl S. Spetzler & Carl-Axel S. Staël Von Holstein, 1975. "Exceptional Paper--Probability Encoding in Decision Analysis," Management Science, INFORMS, vol. 22(3), pages 340-358, November.
- Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
- Viscusi, W Kip, 1990. "Do Smokers Underestimate Risks?," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1253-69, December.
- Stephane Hess & John Rose, 2009. "Should Reference Alternatives in Pivot Design SC Surveys be Treated Differently?," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(3), pages 297-317, March.
- Hensher, David A. & Greene, William H. & Li, Zheng, 2011. "Embedding risk attitude and decision weights in non-linear logit to accommodate time variability in the value of expected travel time savings," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 954-972, August.
- Chiara M. Travisi & Peter Nijkamp & Raymond J. G. M. Florax, 2004.
"A Meta-Analysis of the Willingness to Pay for Reductions in Pesticide Risk Exposure,"
2004.101, Fondazione Eni Enrico Mattei.
- Raymond J. G. M. Florax & Chiara M. Travisi & Peter Nijkamp, 2005. "A meta-analysis of the willingness to pay for reductions in pesticide risk exposure," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 32(4), pages 441-467, December.
- Florax, Raymond J.G.M. & Travisi, Chiara M. & Nijkamp, Peter, 2005. "A Meta-Analysis of the Willingness to Pay for Reductions in Pesticide Risk Exposure," 2005 Annual meeting, July 24-27, Providence, RI 19524, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Mohammed Abdellaoui & Aurelien Baillon & Laetitia Placido & Peter P. Wakker, 2011. "The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation," American Economic Review, American Economic Association, vol. 101(2), pages 695-723, April.
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