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Published in: Social Choice and Welfare 4/2013

01-10-2013 | Original Paper

Measuring the cohesiveness of preferences: an axiomatic analysis

Authors: Jorge Alcalde-Unzu, Marc Vorsatz

Published in: Social Choice and Welfare | Issue 4/2013

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Abstract

In this paper, we axiomatically study how to measure the similarity of preferences in a group of individuals. For simplicity, we refer to this as the cohesiveness. First, we provide axioms that characterize a family of linear and additive measures whose intersection is a partial ordinal criterion similar to first order stochastic dominance. The introduction of some additional properties isolates a one-parameter subfamily. This parameter evaluates the effect on the cohesiveness if one individual changes his ranking on a single pair of objects, as a function of how many of the remaining individuals in the group rank the first object over the second and vice versa. Finally, we characterize the focal measures of this subfamily separately showing that they coincide with measures constructed using two, at first sight, totally different approaches suggested in the literature.

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Appendix
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Footnotes
1
He uses the term consensus instead of cohesiveness.
 
2
Lemma 1 of Alcalde-Unzu and Vorsatz (2011) calculates these maximum and minimum values.
 
3
We thank an anonymous referee for drawing our attention to this discussion.
 
4
We thank an anonymous referee for drawing our attention to this discussion.
 
5
To see why, suppose that \(n\) is odd and that \(a_i^n < a_{i-1}^n\) for some \(i \in \{1, \ldots , \lfloor \frac{n}{2}\rfloor +1\}\). Then, by Claim 2, \(a_{2i}^{2n} < a_{2i-2}^{2n}\). Hence, the condition is also violated for some even \(n\). For the special case when \(n=2\), we already know that \(a_2^2 = 1 > 0 = a_1^2\).
 
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Metadata
Title
Measuring the cohesiveness of preferences: an axiomatic analysis
Authors
Jorge Alcalde-Unzu
Marc Vorsatz
Publication date
01-10-2013
Publisher
Springer Berlin Heidelberg
Published in
Social Choice and Welfare / Issue 4/2013
Print ISSN: 0176-1714
Electronic ISSN: 1432-217X
DOI
https://doi.org/10.1007/s00355-012-0716-9

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