Obvious Manipulations of tops-only Voting Rules
R. Pablo Arribillaga and
Agustín Bonifacio
No 191, Working Papers from Red Nacional de Investigadores en Economía (RedNIE)
Abstract:
In a voting problem with a finite set of alternatives to choose from, we study the manipulation of tops-only rules. Since all non-dictatorial (onto) voting rules are manipulable when there are more than two alternatives and all preferences are allowed, we look for rules in which manipulations are not obvious. First, we show that a rule does not have obvious manipulations if and only if when an agent vetoes an alternative it can do so with any preference that does not have such alternative in the top. Second, we focus on two classes of tops-only rules: (i) (generalized) median voter schemes, and (ii) voting by committees. For each class, we identify which rules do not have obvious manipulations on the universal domain of preferences.
Keywords: obvious manipulations; tops-onlyness; (generalized) median voting schemes; voting by committees; voting by quota. (search for similar items in EconPapers)
JEL-codes: D71 D72 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2022-11
New Economics Papers: this item is included in nep-cdm, nep-mic and nep-pol
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://rednie.eco.unc.edu.ar/files/DT/191.pdf (application/pdf)
Related works:
Journal Article: Obvious manipulations of tops-only voting rules (2024) 
Working Paper: Obvious manipulations of tops-only voting rules (2022) 
Working Paper: Obvious manipulations of tops-only voting rules (2022) 
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:aoz:wpaper:191
Access Statistics for this paper
More papers in Working Papers from Red Nacional de Investigadores en Economía (RedNIE) Contact information at EDIRC.
Bibliographic data for series maintained by Laura Inés D Amato ().