Analysis of Approval Voting in Poisson Games
François Durand,
Antonin Macé and
Matias Nuñez
Additional contact information
François Durand: Nokia Bell Labs [Espoo], LINCS - Laboratory of Information, Network and Communication Sciences - Inria - Institut National de Recherche en Informatique et en Automatique - IMT - Institut Mines-Télécom [Paris] - SU - Sorbonne Université
Working Papers from HAL
Abstract:
We analyze Approval Voting in Poisson games endowing voters with private values over three candidates. We firsts how that any stable equilibrium is discriminatory: one candidate is commonly regarded as out of contention. We fully characterize stable equilibria and divide them into two classes. In direct equilibria, best responses depend only on ordinal preferences. In indirect equilibria, preference intensities matter. Counter-intuitively, any stable equilibrium violates the ordering conditions, a set of belief restrictions used to derive early results in the literature. We finally use Monte-Carlo simulations to estimate the prevalence of the different sorts of equilibria and their likelihood to elect a Condorcet winner.
Keywords: Approval voting; Poisson games; Stable equilibria; Monte-Carlo simulations (search for similar items in EconPapers)
Date: 2019-03
New Economics Papers: this item is included in nep-cdm, nep-cmp, nep-des, nep-gth and nep-mic
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02049865v1
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://shs.hal.science/halshs-02049865v1/document (application/pdf)
Related works:
Working Paper: Analysis of Approval Voting in Poisson Games (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:hal:wpaper:halshs-02049865
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().