Neutral candidates in approval and disapproval vote
Stéphane Gonzalez (),
Annick Laruelle and
No Ikerlanak;2017-105, IKERLANAK from Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I
In this article, the question is to select the “best” candidates within a set of candidates when voters cast approval-disapproval ternary ballots. That is, three options are offered to voters: casting a vote “in favor”, a “neutral” vote or a vote “against” each candidate. We first review desirable properties that a rule aggregating approval-disapproval ternary ballots should satisfy. We check whether the rules that have been proposed in the literature satisfy them. Then, we provide comparable axiomatizations of three rules: one is the lexicographical extension of the Approval rule for binary ballots; the second is the lexicographical extension of the Disapproval rule for binary ballots; and the third rule eliminates candidates with more opponents and fewer supporters than other candidates.
Keywords: approval; disapproval; voting; compromise; condorcet; principle (search for similar items in EconPapers)
JEL-codes: D71 D72 (search for similar items in EconPapers)
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: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ehu:ikerla:25274
Ordering information: This working paper can be ordered from
Dpto. de Fundamentos del Análisis Económico I, Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain
Access Statistics for this paper
More papers in IKERLANAK from Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I Contact information at EDIRC.
Bibliographic data for series maintained by Alcira Macías Redondo ().