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Good News Is Not a Sufficient Condition for Motivated Reasoning

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  • Michael Thaler
Abstract
People often receive good news that makes them feel better about the world around them, or bad news that makes them feel worse about it. This paper studies how the valence of news affects belief updating, absent functional and ego-relevant factors. Using experiments with over 1,500 participants and 5,600 observations, I test whether people engage in motivated reasoning to overly trust good news versus bad news on valence-relevant issues like cancer survival rates, others' happiness, and infant mortality. The estimate for motivated reasoning towards good news is a precisely-estimated null. Modest effects, of one-third the size of motivated reasoning in politics and performance, can be ruled out. Complementary survey evidence shows that most people expect good news to increase happiness, but to not systematically lead to motivated reasoning. These results suggest that belief-based utility is not sufficient in leading people to distort belief updating in order to favor those beliefs.

Suggested Citation

  • Michael Thaler, 2020. "Good News Is Not a Sufficient Condition for Motivated Reasoning," Papers 2012.01548, arXiv.org, revised Jan 2024.
  • Handle: RePEc:arx:papers:2012.01548
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    1. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    2. Emily Oster & Ira Shoulson & E. Ray Dorsey, 2013. "Optimal Expectations and Limited Medical Testing: Evidence from Huntington Disease," American Economic Review, American Economic Association, vol. 103(2), pages 804-830, April.
    3. Bruno S. Frey & Alois Stutzer, 2002. "What Can Economists Learn from Happiness Research?," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 402-435, June.
    4. Damon Jones & David Molitor & Julian Reif, 2019. "What do Workplace Wellness Programs do? Evidence from the Illinois Workplace Wellness Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1747-1791.
    5. 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.
    6. Roland Bénabou & Jean Tirole, 2005. "Self-Confidence and Personal Motivation," International Economic Association Series, in: Bina Agarwal & Alessandro Vercelli (ed.), Psychology, Rationality and Economic Behaviour, chapter 2, pages 19-57, Palgrave Macmillan.
    7. Rafael Di Tella & Ricardo Perez-Truglia & Andres Babino & Mariano Sigman, 2015. "Conveniently Upset: Avoiding Altruism by Distorting Beliefs about Others' Altruism," American Economic Review, American Economic Association, vol. 105(11), pages 3416-3442, November.
    8. Roland Bénabou & Jean Tirole, 2016. "Mindful Economics: The Production, Consumption, and Value of Beliefs," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 141-164, Summer.
    9. Ertac, Seda, 2011. "Does self-relevance affect information processing? Experimental evidence on the response to performance and non-performance feedback," Journal of Economic Behavior & Organization, Elsevier, vol. 80(3), pages 532-545.
    10. Christine L. Exley, 2016. "Excusing Selfishness in Charitable Giving: The Role of Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 587-628.
    11. Kevin E. Levay & Jeremy Freese & James N. Druckman, 2016. "The Demographic and Political Composition of Mechanical Turk Samples," SAGE Open, , vol. 6(1), pages 21582440166, March.
    12. George Loewenstein, 2000. "Emotions in Economic Theory and Economic Behavior," American Economic Review, American Economic Association, vol. 90(2), pages 426-432, May.
    13. Charles S. Taber & Milton Lodge, 2006. "Motivated Skepticism in the Evaluation of Political Beliefs," American Journal of Political Science, John Wiley & Sons, vol. 50(3), pages 755-769, July.
    14. 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.
    15. Jason Dana & Roberto Weber & Jason Kuang, 2007. "Exploiting moral wiggle room: experiments demonstrating an illusory preference for fairness," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 67-80, October.
    16. Yaron Azrieli & Christopher P. Chambers & Paul J. Healy, 2018. "Incentives in Experiments: A Theoretical Analysis," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1472-1503.
    17. Thaler, Michael, 2021. "Gender differences in motivated reasoning," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 501-518.
    18. Russell Golman & David Hagmann & George Loewenstein, 2017. "Information Avoidance," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 96-135, March.
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    Cited by:

    1. Ester Faia & Andreas Fuster & Vincenzo Pezone & Basit Zafar, 2024. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 829-847, May.
    2. Michael Thaler, 2021. "The Supply of Motivated Beliefs," Papers 2111.06062, arXiv.org, revised Sep 2023.
    3. Thaler, Michael, 2021. "Gender differences in motivated reasoning," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 501-518.

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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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