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Persuasion and Information Aggregation in Large Elections

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  • Carl Heese
  • Stephan Lauermann

Abstract

This paper studies the Bayes correlated equilibria of large majority elections in a general environment with heterogeneous, private preferences. Voters have exogeneous private signals and a version of the Condorcet Jury Theorem holds when voters do not receive additional information (Feddersen & Pesendorfer, 1997). We show that any state-contingent outcome can be implemented in some Bayes-Nash equilibrium by an expansion of the exogenous private signal structure. We interpret the result in terms of the possibility of persuasion by a biased sender who provides additional information to voters who also have noisy private information from other sources. The additional information can be an almost public signal that almost reveals the state truthfully. The same additional information is shown to be effective uniformly across environments so that persuasion does not require detailed knowledge of the distribution of the voters' private information and preferences. In a numerical example with uniform voter types, we show the effects of persuasion with already 17 or more voters.

Suggested Citation

  • Carl Heese & Stephan Lauermann, 2019. "Persuasion and Information Aggregation in Large Elections," CRC TR 224 Discussion Paper Series crctr224_2019_128, University of Bonn and University of Mannheim, Germany.
  • Handle: RePEc:bon:boncrc:crctr224_2019_128
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    File URL: https://www.crctr224.de/research/discussion-papers/archive/dp128
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    References listed on IDEAS

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    Cited by:

    1. Carl Heese & Stephan Lauermann, 2021. "Persuasion and Information Aggregation in Elections," ECONtribute Discussion Papers Series 112, University of Bonn and University of Cologne, Germany.

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    More about this item

    Keywords

    Voting; Information Aggregation; Persuasion; Bayes Correlated Equilibrium;
    All these keywords.

    JEL classification:

    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General

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