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Group identity and belief formation: A decomposition of political polarization

Author

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  • Bauer, Kevin
  • Chen, Yan
  • Hett, Florian
  • Kosfeld, Michael

Abstract

How does group identity affect belief formation? To address this question, we conduct a series of online experiments with a representative sample of individuals in the US. Using the setting of the 2020 US presidential election, we find evidence of intergroup preference across three distinct components of the belief formation cycle: a biased prior belief, avoidance of outgroup information sources, and a belief-updating process that places greater (less) weight on prior (new) information. We further find that an intervention reducing the salience of information sources decreases outgroup information avoidance by 50%. In a social learning context in wave 2, we find participants place 33% more weight on ingroup than outgroup guesses. Through two waves of interventions, we identify source utility as the mechanism driving group effects in belief formation. Our analyses indicate that our observed effects are driven by groupy participants who exhibit stable and consistent intergroup preferences in both allocation decisions and belief formation across all three waves. These results suggest that policymakers could reduce the salience of group and partisan identity associated with a policy to decrease outgroup information avoidance and increase policy uptake.

Suggested Citation

  • Bauer, Kevin & Chen, Yan & Hett, Florian & Kosfeld, Michael, 2023. "Group identity and belief formation: A decomposition of political polarization," SAFE Working Paper Series 409, Leibniz Institute for Financial Research SAFE.
  • Handle: RePEc:zbw:safewp:280966
    DOI: 10.2139/ssrn.4670473
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    References listed on IDEAS

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    1. 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.
    2. Florian Hett & Mario Mechtel & Markus Kröll, 2020. "The Structure and Behavioral Effects of Revealed Social Identity Preferences," The Economic Journal, Royal Economic Society, vol. 130(632), pages 2569-2595.
    3. Ananda Ganguly & Joshua Tasoff, 2017. "Fantasy and Dread: The Demand for Information and the Consumption Utility of the Future," Management Science, INFORMS, vol. 63(12), pages 4037-4060, December.
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    Cited by:

    1. Diego Marino Fages, 2024. "Motivated Forecasts: Experimental Evidence from the Presidential Elections in Argentina," Discussion Papers 2024-08, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    2. Zakharov, Alexei & Chapkovski, Philipp, 2025. "The effect of war on redistribution preferences," Journal of Public Economics, Elsevier, vol. 241(C).
    3. Freundt, Jana & Herz, Holger, 2024. "From Partisanship to Preference: How Identity shapes Dependence Aversion," FSES Working Papers 536, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. David L Dickinson & Marie Claire Villeval, 2025. "Belief Updating about Moral Norms: Does Group Identity Matter?," Working Papers hal-05060901, HAL.
    5. Yves Le Yaouanq & Peter Schwardmann & Joël J. van der Weele & Yves Le Yaouanq, 2025. "Rationalizations and Political Polarization," CESifo Working Paper Series 11897, CESifo.

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    Keywords

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    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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