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Monotonic norms and orthogonal issues in multidimensional voting

Monotonic norms and orthogonal issues in multidimensional voting
Monotonic norms and orthogonal issues in multidimensional voting
We study issue-by-issue voting by majority and incentive compatibility in multidimensional frameworks where privately informed agents have preferences induced by general norms and where dimensions are endogenously chosen. We uncover the deep connections between dominant strategy incentive compatibility (DIC) on the one hand, and several geometric/functional analytic concepts on the other. Our main results are: 1) Marginal medians are DIC if and only if they are calculated with respect to coordinates defined by a basis such that the norm is orthant-monotonic in the associated coordinate system. 2) Equivalently, marginal medians are DIC if and only if they are computed with respect to a basis such that, for any vector in the basis, any linear combination of the other vectors is Birkhoff-James orthogonal to it. 3) We show how semi-inner products and normality provide an analytic method that can be used to find all DIC marginal medians. 4) As an application, we derive all DIC marginal medians for
spaces of any finite dimension, and show that they do not depend on p (unless
).
0022-0531
Gershkov, Alex
214a0b5e-c742-486d-b910-c8ec702c943a
Moldovanu, Benny
f84fdd42-3143-4219-be24-fb26385b106d
Shi, Xianwen
a001fef0-d213-4d78-8447-50a9ca6e359f
Gershkov, Alex
214a0b5e-c742-486d-b910-c8ec702c943a
Moldovanu, Benny
f84fdd42-3143-4219-be24-fb26385b106d
Shi, Xianwen
a001fef0-d213-4d78-8447-50a9ca6e359f

Gershkov, Alex, Moldovanu, Benny and Shi, Xianwen (2020) Monotonic norms and orthogonal issues in multidimensional voting. Journal of Economic Theory, 189, [105103]. (doi:10.1016/j.jet.2020.105103).

Record type: Article

Abstract

We study issue-by-issue voting by majority and incentive compatibility in multidimensional frameworks where privately informed agents have preferences induced by general norms and where dimensions are endogenously chosen. We uncover the deep connections between dominant strategy incentive compatibility (DIC) on the one hand, and several geometric/functional analytic concepts on the other. Our main results are: 1) Marginal medians are DIC if and only if they are calculated with respect to coordinates defined by a basis such that the norm is orthant-monotonic in the associated coordinate system. 2) Equivalently, marginal medians are DIC if and only if they are computed with respect to a basis such that, for any vector in the basis, any linear combination of the other vectors is Birkhoff-James orthogonal to it. 3) We show how semi-inner products and normality provide an analytic method that can be used to find all DIC marginal medians. 4) As an application, we derive all DIC marginal medians for
spaces of any finite dimension, and show that they do not depend on p (unless
).

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More information

Accepted/In Press date: 2 August 2020
e-pub ahead of print date: 6 August 2020
Published date: 24 August 2020

Identifiers

Local EPrints ID: 503681
URI: http://eprints.soton.ac.uk/id/eprint/503681
ISSN: 0022-0531
PURE UUID: e086e03d-89a2-4604-b3bd-3db86ea5b03f
ORCID for Alex Gershkov: ORCID iD orcid.org/0000-0002-6062-8428

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Date deposited: 08 Aug 2025 16:43
Last modified: 09 Aug 2025 02:19

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Contributors

Author: Alex Gershkov ORCID iD
Author: Benny Moldovanu
Author: Xianwen Shi

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