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Certainty and overconfidence in future preferences for food
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Certainty and overconfidence in future preferences for food

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  • Thunström, Linda
  • Nordström, Jonas
  • Shogren, Jason F.

Abstract

We examine consumer certainty of future preferences and overconfidence in predicting future preferences. We explore how preference certainty and overconfidence impact the option value to revise today’s decisions in the future. We design a laboratory experiment that creates a controlled choice environment, in which a subject’s choice set (over food snacks) is known and constant over time, and the time frame is short – subjects make choices for themselves today, and for one to two weeks ahead. Our results suggest that even for such a seemingly straightforward choice task, only 45% of subjects can predict future choices accurately, while stated certainty of future preferences (one and two weeks ahead) is around 80%. We define overconfidence in predicting future preferences as: the difference between actual accuracy at predicting future choices and stated certainty of future preferences. Our results suggest strong evidence of overconfidence. We find that overconfidence increases with the level of stated certainty of future preferences. Finally, we observe that the option value people attach to future choice flexibility decreases with overconfidence. Overconfidence in future preferences affects economic welfare because it says people have too much incentive to lock themselves into future suboptimal decisions.

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  • Thunström, Linda & Nordström, Jonas & Shogren, Jason F., 2015. "Certainty and overconfidence in future preferences for food," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 101-113.
    • Handle: RePEc:eee:joepsy:v:51:y:2015:i:c:p:101-113
    DOI: 10.1016/j.joep.2015.09.006
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    1. Klayman, Joshua & Soll, Jack B. & Gonzalez-Vallejo, Claudia & Barlas, Sema, 1999. "Overconfidence: It Depends on How, What, and Whom You Ask, , , , , , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(3), pages 216-247, September.
    2. George Loewenstein & Ted O'Donoghue & Matthew Rabin, 2003. "Projection Bias in Predicting Future Utility," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1209-1248.
    3. Hogarth, Robin M. (ed.), 1990. "Insights in Decision Making," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226348551, December.
    4. Faruk Gul & Wolfgang Pesendorfer, 2001. "Temptation and Self-Control," Econometrica, Econometric Society, vol. 69(6), pages 1403-1435, November.
    5. David C. Kingsley & Thomas C. Brown, 2010. "Preference Uncertainty, Preference Learning, and Paired Comparison Experiments," Land Economics, University of Wisconsin Press, vol. 86(3).
    6. 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.
    7. Christian Vossler & Michael McKee, 2006. "Induced-Value Tests of Contingent Valuation Elicitation Mechanisms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 35(2), pages 137-168, October.
    8. Payne, John W & Bettman, James R & Schkade, David A, 1999. "Measuring Constructed Preferences: Towards a Building Code," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 243-270, December.
    9. Kevin J. Lansing & Benjamin Pyle, 2015. "Persistent overoptimism about economic growth," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    10. Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
    11. 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.
    12. James G. March, 1978. "Bounded Rationality, Ambiguity, and the Engineering of Choice," Bell Journal of Economics, The RAND Corporation, vol. 9(2), pages 587-608, Autumn.
    13. Welsh, Michael P. & Poe, Gregory L., 1998. "Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 170-185, September.
    14. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    15. Li Chuan-Zhong & Mattsson Leif, 1995. "Discrete Choice under Preference Uncertainty: An Improved Structural Model for Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 28(2), pages 256-269, March.
    16. Brown, Thomas C. & Kingsley, David & Peterson, George L. & Flores, Nicholas E. & Clarke, Andrea & Birjulin, Andrej, 2008. "Reliability of individual valuations of public and private goods: Choice consistency, response time, and preference refinement," Journal of Public Economics, Elsevier, vol. 92(7), pages 1595-1606, July.
    17. Dan Ariely & George Loewenstein & Drazen Prelec, 2003. ""Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 73-106.
    18. 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.
    19. Kreps, David M, 1979. "A Representation Theorem for "Preference for Flexibility"," Econometrica, Econometric Society, vol. 47(3), pages 565-577, May.
    20. Sniezek, Janet A. & Paese, Paul W. & Switzer, Fred S., 1990. "The effect of choosing on confidence in choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 46(2), pages 264-282, August.
    21. R. Vijay Krishna & Philipp Sadowski, 2014. "Dynamic Preference for Flexibility," Econometrica, Econometric Society, vol. 82(2), pages 655-703, March.
    22. Nick Hanley & Bengt Kriström & Jason F. Shogren, 2009. "Coherent Arbitrariness: On Value Uncertainty for Environmental Goods," Land Economics, University of Wisconsin Press, vol. 85(1), pages 41-50.
    23. Wang, Hua, 1997. "Treatment of "Don't-Know" Responses in Contingent Valuation Surveys: A Random Valuation Model," Journal of Environmental Economics and Management, Elsevier, vol. 32(2), pages 219-232, February.
    24. Gregory Poe & Jeremy Clark & Daniel Rondeau & William Schulze, 2002. "Provision Point Mechanisms and Field Validity Tests of Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 105-131, September.
    25. Banerjee, Prasenjit & Shogren, Jason F., 2014. "Bidding behavior given point and interval values in a second-price auction," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 126-137.
    26. Nelson, Philip, 1974. "Advertising as Information," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 729-754, July/Aug..
    27. 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.
    28. Eric Van den Steen, 2004. "Rational Overoptimism (and Other Biases)," American Economic Review, American Economic Association, vol. 94(4), pages 1141-1151, September.
    29. G. Cornelis van Kooten & Emina Krcmar & Erwin H. Bulte, 2001. "Preference Uncertainty in Non-Market Valuation: A Fuzzy Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 487-500.
    30. 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.
    31. Dolan, Paul & Metcalfe, Robert, 2010. "'Oops...I did it again': Repeated focusing effects in reports of happiness," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 732-737, August.
    32. Stigler, George J & Becker, Gary S, 1977. "De Gustibus Non Est Disputandum," American Economic Review, American Economic Association, vol. 67(2), pages 76-90, March.
    33. Hoelzl, Erik & Pollai, Maria & Kamleitner, Bernadette, 2009. "Experience, prediction and recollection of loan burden," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 446-454, June.
    34. Spash, Clive L., 2002. "Informing and forming preferences in environmental valuation: Coral reef biodiversity," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 665-687, October.
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    3. Michalis Skourtos & Dimitris Damigos & Areti Kontogianni & Christos Tourkolias & Alistair Hunt, 2019. "Embedding Preference Uncertainty for Environmental Amenities in Climate Change Economic Assessments: A “Random” Step Forward," Economies, MDPI, vol. 7(4), pages 1-22, October.

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    More about this item

    Keywords

    Preference uncertainty; Overconfidence; Experiment; Future preferences;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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