Robust Voting under Uncertainty

Fuente: arXiv
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Hauptverfasser: Nakada, Satoshi, Nitzan, Shmuel, Ui, Takashi
Format: Preprint
Veröffentlicht: 2025
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author Nakada, Satoshi
Nitzan, Shmuel
Ui, Takashi
author_facet Nakada, Satoshi
Nitzan, Shmuel
Ui, Takashi
contents This paper proposes normative criteria for voting rules under uncertainty about individual preferences. The criteria emphasize the importance of responsiveness, i.e., the probability that the social outcome coincides with the realized individual preferences. Given a convex set of probability distributions of preferences, denoted by $P$, a voting rule is said to be $P$-robust if, for each probability distribution in $P$, at least one individual's responsiveness exceeds one-half. Our main result establishes that a voting rule is $P$-robust if and only if there exists a nonnegative weight vector such that the weighted average of individual responsiveness is strictly greater than one-half under every extreme point of $P$. In particular, if the set $P$ includes all degenerate distributions, a $P$-robust rule is a weighted majority rule without ties.
format Preprint
id arxiv_https___arxiv_org_abs_2507_22655
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Robust Voting under Uncertainty
Nakada, Satoshi
Nitzan, Shmuel
Ui, Takashi
Theoretical Economics
This paper proposes normative criteria for voting rules under uncertainty about individual preferences. The criteria emphasize the importance of responsiveness, i.e., the probability that the social outcome coincides with the realized individual preferences. Given a convex set of probability distributions of preferences, denoted by $P$, a voting rule is said to be $P$-robust if, for each probability distribution in $P$, at least one individual's responsiveness exceeds one-half. Our main result establishes that a voting rule is $P$-robust if and only if there exists a nonnegative weight vector such that the weighted average of individual responsiveness is strictly greater than one-half under every extreme point of $P$. In particular, if the set $P$ includes all degenerate distributions, a $P$-robust rule is a weighted majority rule without ties.
title Robust Voting under Uncertainty
topic Theoretical Economics
url https://arxiv.org/abs/2507.22655