Apportionment with parity constraints

被引:0
|
作者
Claire Mathieu
Victor Verdugo
机构
[1] Université de Paris,CNRS and IRIF
[2] Universidad de O’Higgins,Institute of Engineering Sciences
来源
Mathematical Programming | 2024年 / 203卷
关键词
Apportionment; Biproportionality; Matrix scaling; 91B14; 91B03;
D O I
暂无
中图分类号
学科分类号
摘要
In the classic apportionment problem, the goal is to decide how many seats of a parliament should be allocated to each party as a result of an election. The divisor methods solve this problem by defining a notion of proportionality guided by some rounding rule. Motivated by recent challenges in the context of electoral apportionment, we consider the question of how to allocate the seats of a parliament under parity constraints between candidate types (e.g., an equal number of men and women elected) while at the same time satisfying party proportionality. We study two different approaches to solve this question. We first provide a theoretical analysis of a recently devised mechanism based on a greedy approach. We then propose and analyze a mechanism that follows the idea of biproportionality introduced by Balinski and Demange. In contrast with the classic biproportional method by Balinski and Demange, this mechanism is ruled by two levels of proportionality: Proportionality is satisfied at the level of parties by means of a divisor method, and then biproportionality is used to decide the number of candidates allocated to each type and party. A typical benchmark used in the context of two-dimensional apportionment is the fair share (a.k.a matrix scaling), which corresponds to an ideal fractional biproportional solution. We provide lower bounds on the distance between these two types of solutions, and we explore their consequences in the context of two-dimensional apportionment.
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页码:135 / 168
页数:33
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