The ultimate goal of proportional apportionment methods is the minimization of disproportionality, i.e., unequal distribution of political representation among voters, or citizens. The Gini index is a well known tool for measuring inequality. In this work we propose a quotient method that minimizes the Gini index of disproportionality. Our method reduces the rounding of quotas to an instance of quadratic knapsack, a widely studied combinatorial optimization problem. Preliminary computational results, including real cases from the EU Parliament and the US House of Representatives, show that the method is effective, since the instances to solve are rather easy.

Apportionments with minimum Gini index of disproportionality: a Quadratic Knapsack approach / Pretolani, Daniele. - In: ANNALS OF OPERATIONS RESEARCH. - ISSN 0254-5330. - STAMPA. - 215:1(2014), pp. 257-267. [10.1007/s10479-013-1383-7]

Apportionments with minimum Gini index of disproportionality: a Quadratic Knapsack approach

PRETOLANI, Daniele
2014

Abstract

The ultimate goal of proportional apportionment methods is the minimization of disproportionality, i.e., unequal distribution of political representation among voters, or citizens. The Gini index is a well known tool for measuring inequality. In this work we propose a quotient method that minimizes the Gini index of disproportionality. Our method reduces the rounding of quotas to an instance of quadratic knapsack, a widely studied combinatorial optimization problem. Preliminary computational results, including real cases from the EU Parliament and the US House of Representatives, show that the method is effective, since the instances to solve are rather easy.
2014
215
1
257
267
Apportionments with minimum Gini index of disproportionality: a Quadratic Knapsack approach / Pretolani, Daniele. - In: ANNALS OF OPERATIONS RESEARCH. - ISSN 0254-5330. - STAMPA. - 215:1(2014), pp. 257-267. [10.1007/s10479-013-1383-7]
Pretolani, Daniele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1061475
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