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Confirmation bias with motivated beliefs

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  • Charness, Gary
  • Dave, Chetan

Abstract

We investigate whether the confirmation bias is mitigated in signal-extraction environments by outside financial interests. We include a background strategic consideration leading to ‘motivated beliefs’ for people in one role, as they receive higher equilibrium payoffs in a background game in one of two states, while people in the other role receive the same equilibrium payoffs in both. We find systematic differences in beliefs and our results suggest that players with motivated beliefs deviate less from Bayesian updating. However, such players still exhibit a confirmation bias in that they place additional weight on confirming information, in contrast to Bayesians.

Suggested Citation

  • Charness, Gary & Dave, Chetan, 2017. "Confirmation bias with motivated beliefs," Games and Economic Behavior, Elsevier, vol. 104(C), pages 1-23.
    • Handle: RePEc:eee:gamebe:v:104:y:2017:i:c:p:1-23
    DOI: 10.1016/j.geb.2017.02.015
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    References listed on IDEAS

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    1. Stephen V. Burks & Jeffrey P. Carpenter & Lorenz Goette & Aldo Rustichini, 2013. "Overconfidence and Social Signalling," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 949-983.
    2. Christophe Bisière & Jean-Paul Décamps & Stefano Lovo, 2015. "Risk Attitude, Beliefs Updating, and the Information Content of Trades: An Experiment," Management Science, INFORMS, vol. 61(6), pages 1378-1397, June.
    3. Grether, David M., 1992. "Testing bayes rule and the representativeness heuristic: Some experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 17(1), pages 31-57, January.
    4. Holt, Charles A. & Smith, Angela M., 2009. "An update on Bayesian updating," Journal of Economic Behavior & Organization, Elsevier, vol. 69(2), pages 125-134, February.
    5. Martin Jones & Robert Sugden, 2001. "Positive confirmation bias in the acquisition of information," Theory and Decision, Springer, vol. 50(1), pages 59-99, February.
    6. David Eil & Justin M. Rao, 2011. "The Good News-Bad News Effect: Asymmetric Processing of Objective Information about Yourself," American Economic Journal: Microeconomics, American Economic Association, vol. 3(2), pages 114-138, May.
    7. Andrea Wilson, 2014. "Bounded Memory and Biases in Information Processing," Econometrica, Econometric Society, vol. 82, pages 2257-2294, November.
    8. Dan Ariely & Uri Gneezy & George Loewenstein & Nina Mazar, 2009. "Large Stakes and Big Mistakes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(2), pages 451-469.
    9. Catherine C. Eckel & Philip J. Grossman, 2008. "Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices," Monash Economics Working Papers archive-01, Monash University, Department of Economics.
    10. Eliaz, Kfir & Schotter, Andrew, 2010. "Paying for confidence: An experimental study of the demand for non-instrumental information," Games and Economic Behavior, Elsevier, vol. 70(2), pages 304-324, November.
    11. Pouget, Sébastien & Villeneuve, Stéphane, 2012. "A Mind is a Terrible Thing to Change: Confirmation Bias in Financial Markets," TSE Working Papers 12-306, Toulouse School of Economics (TSE), revised Aug 2016.
    12. David M. Grether, 1980. "Bayes Rule as a Descriptive Model: The Representativeness Heuristic," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 95(3), pages 537-557.
    13. Charness, Gary & Kuhn, Peter, 2011. "Lab Labor: What Can Labor Economists Learn from the Lab?," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 3, pages 229-330, Elsevier.
    14. Camerer, Colin F, 1987. "Do Biases in Probability Judgment Matter in Markets? Experimental Evidence," American Economic Review, American Economic Association, vol. 77(5), pages 981-997, December.
    15. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
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    More about this item

    Keywords

    Confirmation bias; Motivated beliefs; Bayesian updating; Experiment;
    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
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

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