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Manipulated Electorates and Information Aggregation

Author

Listed:
  • Mehmet Ekmekci
  • Stephan Lauermann

Abstract

We study the aggregation of dispersed information in elections in which turnout may depend on the state. State-dependent turnout may arise from the actions of a biased and informed “election organizer”. Voters are symmetric ex ante and prefer policy a in state $\alpha$ and policy $b$ in state $\beta$, but the organizer prefers policy $a$ regardless of the state. Each recruited voter observes a private signal about the unknown state but does not learn the turnout.First, we characterize how the outcomes of large elections depend on the turnout pattern across states. In contrast to existing results for large elections, there are equilibria in which information aggregation fails whenever there is an asymmetry in turnout; information aggregation is only guaranteed in all equilibria if turnout is state independent. Second, when the turnout is the result of costly voter recruitment by a biased organizer, the organizer can ensure that its favourite policy $a$ is implemented with high probability independent of the state as the voter recruitment cost vanishes. Moreover, information aggregation will fail in all equilibria. The critical observation is that a vote is more likely to be pivotal for the decision if turnout is smaller, leading to a systematic bias of the decision toward the low-turnout state.

Suggested Citation

  • Mehmet Ekmekci & Stephan Lauermann, 2020. "Manipulated Electorates and Information Aggregation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(2), pages 997-1033.
  • Handle: RePEc:oup:restud:v:87:y:2020:i:2:p:997-1033.
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    File URL: http://hdl.handle.net/10.1093/restud/rdz019
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    Cited by:

    1. Andrea Tesei & Filipe Campante & Ruben Durante, 2022. "Media and Social Capital," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 69-91, August.
    2. Carl Heese & Stephan Lauermann, 2021. "Persuasion and Information Aggregation in Elections," ECONtribute Discussion Papers Series 112, University of Bonn and University of Cologne, Germany.
    3. Galanis, S. & Ioannou, C. & Kotronis, S., 2019. "Information Aggregation Under Ambiguity: Theory and Experimental Evidence," Working Papers 20/05, Department of Economics, City University London.
    4. Ekmekci, Mehmet & Lauermann, Stephan, 2022. "Information aggregation in Poisson-elections," Theoretical Economics, Econometric Society, vol. 17(1), January.
    5. Midjord, Rune & Rodríguez Barraquer, Tomás & Valasek, Justin, 2021. "When voters like to be right: An analysis of the Condorcet Jury Theorem with mixed motives," Journal of Economic Theory, Elsevier, vol. 198(C).
    6. Rune Midjord & Tomás Rodríguez Barraquer & Justin Mattias Valasek, 2019. "Robust Information Aggregation Through Voting," CESifo Working Paper Series 7713, CESifo.
    7. Yves Breitmoser & Justin Valasek & Justin Mattias Valasek, 2023. "Why Do Committees Work?," CESifo Working Paper Series 10800, CESifo.
    8. Breitmoser, Yves & Valasek, Justin, 2023. "Why do committees work?," Discussion Paper Series in Economics 18/2023, Norwegian School of Economics, Department of Economics.
    9. Kemal Kivanç Aköz & Cemal Eren Arbatli, 2016. "Information Manipulation in Election Campaigns," Economics and Politics, Wiley Blackwell, vol. 28(2), pages 181-215, July.

    More about this item

    Keywords

    Political Economy; Voting; Information Aggregation; Election Design;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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