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Testing models of belief bias: An experiment

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  • Coutts, Alexander

Abstract

Optimistic beliefs affect important areas of economic decision making, yet direct knowledge on how belief biases operate remains limited. To better understand these biases I introduce a theoretical framework that trades off anticipatory benefits against two potential costs of forming biased beliefs: (1) material costs which result from poor decisions, of Brunnermeier and Parker (2005), and (2) direct psychological costs of distorting reality, of Bracha and Brown (2012). The experiment exploits the potential of the BDM elicitation procedure adopted to lotteries to distort beliefs in different directions, depending on which costs are most important. Relative to an elicitation procedure without distortionary incentives, beliefs are biased in the optimistic direction. Increasing payments for accuracy further increases belief reports, in many cases away from the truth, consistent with psychological costs of belief distortion. Yet the overall results suggest that such theories of optimism fail to explain how beliefs respond to financial incentives.

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  • Coutts, Alexander, 2019. "Testing models of belief bias: An experiment," Games and Economic Behavior, Elsevier, vol. 113(C), pages 549-565.
  • Handle: RePEc:eee:gamebe:v:113:y:2019:i:c:p:549-565
    DOI: 10.1016/j.geb.2018.11.001
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    3. Peter Schwardmann & Joël van der Weele, 2016. "Deception and Self-Deception," Tinbergen Institute Discussion Papers 16-012/I, Tinbergen Institute.
    4. Schwardmann, Peter, 2019. "Motivated health risk denial and preventative health care investments," Journal of Health Economics, Elsevier, vol. 65(C), pages 78-92.
    5. Alexander Coutts, 2019. "Good news and bad news are still news: experimental evidence on belief updating," Experimental Economics, Springer;Economic Science Association, vol. 22(2), pages 369-395, June.
    6. Kai Barron, 2021. "Belief updating: does the ‘good-news, bad-news’ asymmetry extend to purely financial domains?," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 31-58, March.
    7. Etse Nkukpornu & Prince Gyimah & Linda Sakyiwaa, 2020. "Behavioural Finance and Investment Decisions: Does Behavioral Bias Matter?," International Business Research, Canadian Center of Science and Education, vol. 13(11), pages 1-65, November.
    8. Huseynov, Samir & Palma, Marco A. & Ahmad, Ghufran, 2021. "Does the magnitude of relative calorie distance affect food consumption?," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 530-551.
    9. Burdea, Valeria & Woon, Jonathan, 2022. "Online belief elicitation methods," Journal of Economic Psychology, Elsevier, vol. 90(C).
    10. Ahrash Dianat & Christoph Siemroth, 2021. "Improving decisions with market information: an experiment on corporate prediction markets," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 143-176, March.
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    More about this item

    Keywords

    Beliefs; Optimism; Pessimism; Overconfidence; Anticipation; Affective expected utility;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • 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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