Information structures and information aggregation in threshold equilibria in elections

Svetlana Kosterina ()
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Svetlana Kosterina: University of Pittsburgh

Economic Theory, 2023, vol. 75, issue 2, No 7, 493-522

Abstract: Abstract I study a model of information aggregation in elections with multiple states and multiple signals. I focus on threshold equilibria and completely characterize information aggregation in this class. In particular, I identify conditions on the distributions of signals that are necessary and sufficient for information aggregation in every sequence of threshold equilibria, as well as simple conditions that are sufficient but not necessary for information aggregation in threshold equilibria. I also identify (generic) conditions that are necessary and sufficient for information not to be aggregated in any sequence of threshold equilibria. As a consequence, my analysis provides sufficient conditions for the existence of equilibria that do not aggregate information.

Keywords: Information aggregation; Elections; Condorcet jury theorem (search for similar items in EconPapers)
JEL-codes: D80 D83 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s00199-022-01412-w

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