Robust Information Aggregation Through Voting
Rune Midjord (),
Tomás Rodríguez and
Justin Valasek ()
No 12/2019, Discussion Paper Series in Economics from Norwegian School of Economics, Department of Economics
Abstract:
Numerous theoretical studies have shown that information aggregation through voting is fragile. We consider a model of information aggregation with vote-contingent payoffs and generically characterize voting behavior in large committees. We use this characterization to identify the set of vote-contingent payoffs that lead to a unique outcome that robustly aggregates information. Generally, it is not sufficient to simply reward agents for matching their vote to the true state of the world. Instead, robust and unique information aggregation can be achieved with vote-contingent payoffs whose size varies depending on which option the committee chooses, and whether the committee decision is correct
Keywords: Information aggregation; Voting; Vote-contingent payoffs. (search for similar items in EconPapers)
JEL-codes: D71 D72 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2019-06-10
New Economics Papers: this item is included in nep-cdm, nep-gth, nep-mic and nep-pol
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://openaccess.nhh.no/nhh-xmlui/bitstream/item/201555/DP%2012.pdf?sequence=1 Full text (application/pdf)
Related works:
Working Paper: Robust Information Aggregation Through Voting (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hhs:nhheco:2019_012
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Discussion Paper Series in Economics from Norwegian School of Economics, Department of Economics NHH, Department of Economics, Helleveien 30, N-5045 Bergen, Norway. Contact information at EDIRC.
Bibliographic data for series maintained by Synne Stormoen ().