Condorcet Methods - When, Why and How?
Eivind Stensholt
No 2008/11, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science
Abstract:
Geometric representations of 3-candidate profiles are used to investigate properties of preferential election methods. The representation visualizes both the possibility to win by agenda manipulation, i.e. introducing a third and chanceless candidate in a 2-candidate race, and the possibility to win a 3-candidate election through different kinds of strategic voting. Here the focus is on the "burying" strategy in single-winner elections, where the win is obtained by ranking a main competitor artificially low. Condorcet methods are compared with the major alternatives (Borda Count, Approval Voting, Instant Runoff Voting). Various Condorcet methods are studied, and one method is proposed that minimizes the number of noncyclic profiles where burying is possible.
Keywords: Preferential election methods; agenda manipulation; strategic voting (search for similar items in EconPapers)
JEL-codes: D72 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2008-06-12
New Economics Papers: this item is included in nep-cdm and nep-pol
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/11250/163942 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://hdl.handle.net/11250/163942 [302 Found]--> https://www.unit.no/brage-denne-lenken-er-ikke-lenger-gyldig [301 Moved Permanently]--> https://sikt.no/brage-denne-lenken-er-ikke-lenger-gyldig)
Related works:
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:nhhfms:2008_011
Access Statistics for this paper
More papers in Discussion Papers from Norwegian School of Economics, Department of Business and Management Science NHH, Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway. Contact information at EDIRC.
Bibliographic data for series maintained by Stein Fossen ().