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Eliciting Risk Preferences for Intrinsic Attributes

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  • Dorner, Zach
  • Brent, Daniel A.
  • Leroux, Anke

Abstract

Risk is an important attribute of goods, whereby the utility derived from that attribute is determined by one's attitude to risk. We develop a novel approach to leverage data on risk attitudes from a fully incentivized risk elicitation task to model intrinsic riskiness of alternatives in a choice experiment. In a door-to-door survey, 981 respondents participated in a discrete choice experiment to elicit pref- erences over alternative sources of municipal water, conditional on water price and quality. Additional source attributes, such as supply risks due to the water source being weather dependent or technology risks are treated as intrinsic as they cannot be plausibly disassociated from the water supply source. The risk task allows the estimation of a coefficient of constant relative risk aversion (CRRA) for an indi- vidual, which is incorporated into the preference estimation to test the hypotheses that supply risk and new technology risk are important intrinsic attributes for new water sources. Participants are not given information about supply or technological risks of the sources to avoid framing effects driving the results. Controlling for water quality and cost, we find that supply risk is an important determinant of participants' choices, while respondents are not concerned about technology risk.

Suggested Citation

  • Dorner, Zach & Brent, Daniel A. & Leroux, Anke, 2016. "Eliciting Risk Preferences for Intrinsic Attributes," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236644, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:236644
    DOI: 10.22004/ag.econ.236644
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    as
    1. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    2. John Rolfe & Jill Windle, 2015. "Do Respondents Adjust Their Expected Utility in the Presence of an Outcome Certainty Attribute in a Choice Experiment?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(1), pages 125-142, January.
    3. Andersson, Henrik & Hole, Arne Risa & Svensson, Mikael, 2016. "Valuation of small and multiple health risks: A critical analysis of SP data applied to food and water safety," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 41-53.
    4. Bartczak, Anna & Chilton, Susan & Meyerhoff, Jürgen, 2015. "Wildfires in Poland: The impact of risk preferences and loss aversion on environmental choices," Ecological Economics, Elsevier, vol. 116(C), pages 300-309.
    5. Duke, Joshua M. & Dundas, Steven J. & Johnston, Robert J. & Messer, Kent D., 2014. "Prioritizing payment for environmental services: Using nonmarket benefits and costs for optimal selection," Ecological Economics, Elsevier, vol. 105(C), pages 319-329.
    6. Robert J. Johnston & Stephen K. Swallow & Timothy J. Tyrrell & Dana Marie Bauer, 2003. "Rural Amenity Values and Length of Residency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1000-1015.
    7. Glenk, Klaus & Colombo, Sergio, 2013. "Modelling Outcome-Related Risk in Choice Experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-20.
    8. Jayson L. Lusk & Keith H. Coble, 2005. "Risk Perceptions, Risk Preference, and Acceptance of Risky Food," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 393-405.
    9. Anderson, Lisa R. & Mellor, Jennifer M., 2008. "Predicting health behaviors with an experimental measure of risk preference," Journal of Health Economics, Elsevier, vol. 27(5), pages 1260-1274, September.
    10. Qiu, Yueming & Colson, Gregory & Grebitus, Carola, 2014. "Risk preferences and purchase of energy-efficient technologies in the residential sector," Ecological Economics, Elsevier, vol. 107(C), pages 216-229.
    11. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, Enero.
    13. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    14. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    15. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    16. Sheila M. Olmstead, 2010. "The Economics of Managing Scarce Water Resources," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(2), pages 179-198, Summer.
    17. Richard Carson & Jordan Louviere, 2011. "A Common Nomenclature for Stated Preference Elicitation Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 539-559, August.
    18. W. J. Wouter Botzen & Jeroen C. J. M. Van Den Bergh, 2012. "Monetary Valuation Of Insurance Against Flood Risk Under Climate Change," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 1005-1026, August.
    19. Rosa Duarte & Vicente Pinilla & Ana Serrano, 2014. "Looking backward to look forward: water use and economic growth from a long-term perspective," Applied Economics, Taylor & Francis Journals, vol. 46(2), pages 212-224, January.
    20. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    21. Daniel A. Brent & Lata Gangadharan & Anke Leroux & Paul A. Raschky, 2014. "Putting One's Money Where One's Mouth is: Increasing Saliency in the Field," Monash Economics Working Papers 43-14, Monash University, Department of Economics.
    22. Robert Johnston & Mahesh Ramachandran, 2014. "Modeling Spatial Patchiness and Hot Spots in Stated Preference Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 363-387, November.
    23. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    24. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    25. David Hensher & Nina Shore & Kenneth Train, 2005. "Households’ Willingness to Pay for Water Service Attributes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(4), pages 509-531, December.
    26. Sendhil Mullainathan & Marianne Bertrand, 2001. "Do People Mean What They Say? Implications for Subjective Survey Data," American Economic Review, American Economic Association, vol. 91(2), pages 67-72, May.
    27. Daniel R. Petrolia & Craig E. Landry & Keith H. Coble, 2013. "Risk Preferences, Risk Perceptions, and Flood Insurance," Land Economics, University of Wisconsin Press, vol. 89(2), pages 227-245.
    28. Botzen, W.J.W. & van den Bergh, J.C.J.M., 2012. "Risk attitudes to low-probability climate change risks: WTP for flood insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 151-166.
    29. Steffen Andersen & Glenn Harrison & Morten Lau & E. Rutström, 2009. "Elicitation using multiple price list formats," Experimental Economics, Springer;Economic Science Association, vol. 12(3), pages 365-366, September.
    30. Roberts, David C. & Boyer, Tracy A. & Lusk, Jayson L., 2008. "Preferences for environmental quality under uncertainty," Ecological Economics, Elsevier, vol. 66(4), pages 584-593, July.
    31. Charness, Gary & Gneezy, Uri & Imas, Alex, 2013. "Experimental methods: Eliciting risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 43-51.
    32. Chetan Dave & Catherine Eckel & Cathleen Johnson & Christian Rojas, 2010. "Eliciting risk preferences: When is simple better?," Journal of Risk and Uncertainty, Springer, vol. 41(3), pages 219-243, December.
    33. Glenn W. Harrison & Eric Johnson & Melayne M. McInnes & E. Elisabet Rutström, 2005. "Risk Aversion and Incentive Effects: Comment," American Economic Review, American Economic Association, vol. 95(3), pages 897-901, June.
    34. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
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    Research and Development/Tech Change/Emerging Technologies; Research Methods/Statistical Methods; Risk and Uncertainty;
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