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How Transparency Kills Information Aggregation (And Why That May Be A Good Thing)

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  • Fehrler, Sebastian
  • Hughes, Niall

Abstract

We show theoretical and experimental results that demonstrate the potential of transparency to influence committee decision making and deliberation. We present a model in which committee members have career concerns and unanimity is needed to change the status quo. We study three scenarios - secrecy, where votes and communication are secret, mild transparency, where individual votes are public, and full transparency, where both communication and individual votes are public. The two transparency regimes affect deliberation in different ways but lead both to a breakdown of information aggregation. However, transparency lowers the probability of an error if maintaining the status quo is the correct choice. As a consequence, the principal is better off in expectation under transparency than under secrecy if the cost of wrongly changing the status quo is high enough. We test the model's key predictions in a laboratory experiment varying the level of transparency between treatments. We observe strong effects of transparency on committee error rates that are largely consistent with the model. On the individual level, we observe strong effects on deliberative behavior which go in the predicted direction but are less pronounced than in theory.

Suggested Citation

  • Fehrler, Sebastian & Hughes, Niall, 2014. "How Transparency Kills Information Aggregation (And Why That May Be A Good Thing)," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100440, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc14:100440
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    Cited by:

    1. Bouton, Laurent & Llorente-Saguer, Aniol & Malherbe, Frédéric, 2017. "Unanimous rules in the laboratory," Games and Economic Behavior, Elsevier, vol. 102(C), pages 179-198.
    2. S. Nageeb Ali & Roland Bénabou, 2020. "Image versus Information: Changing Societal Norms and Optimal Privacy," American Economic Journal: Microeconomics, American Economic Association, vol. 12(3), pages 116-164, August.
    3. Mechtenberg, Lydia & Tyran, Jean-Robert, 2019. "Voter motivation and the quality of democratic choice," Games and Economic Behavior, Elsevier, vol. 116(C), pages 241-259.
    4. Alessandro RIBONI & Francisco RUGE-MURCIA, 2018. "Deliberation in Committees : Theory and Evidence from the FOMC," Cahiers de recherche 01-2018, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    5. Herrera, Helios & Llorente-Saguer, Aniol & McMurray, Joseph C., 2019. "Information aggregation and turnout in proportional representation: A laboratory experiment," Journal of Public Economics, Elsevier, vol. 179(C).
    6. Breitmoser, Yves & Valasek, Justin, 2017. "A rationale for unanimity in committees," Discussion Papers, Research Unit: Economics of Change SP II 2017-308, WZB Berlin Social Science Center.
    7. Ronen Gradwohl, 2018. "Voting in the limelight," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 66(1), pages 65-103, July.
    8. Kawamura, Kohei & Vlaseros, Vasileios, 2017. "Expert information and majority decisions," Journal of Public Economics, Elsevier, vol. 147(C), pages 77-88.

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    More about this item

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

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