Frequency of monotonicity failure under Instant Runoff Voting: estimates based on a spatial model of elections

Joseph Ornstein () and Robert Norman

Public Choice, 2014, vol. 161, issue 1, 9 pages

Abstract: It has long been recognized that Instant Runoff Voting (IRV) suffers from a defect known as nonmonotonicity, wherein increasing support for a candidate among a subset of voters may adversely affect that candidate’s election outcome. The expected frequency of this type of behavior, however, remains an open and important question, and limited access to detailed election data makes it difficult to resolve empirically. In this paper, we develop a spatial model of voting behavior to approach the question theoretically. We conclude that monotonicity failures in three-candidate IRV elections may be much more prevalent than widely presumed (results suggest a lower bound estimate of 15 % for competitive elections). In light of these results, those seeking to implement a fairer multi-candidate election system should be wary of adopting IRV. Copyright Springer Science+Business Media New York 2014

Keywords: Voting theory; Instant Runoff Voting; Agent-based modeling; Monotonicity; D72 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11127-013-0118-2 (text/html)
Access to full text is restricted to subscribers.

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:kap:pubcho:v:161:y:2014:i:1:p:1-9

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11127/PS2

DOI: 10.1007/s11127-013-0118-2

Access Statistics for this article

Public Choice is currently edited by WIlliam F. Shughart II

More articles in Public Choice from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().