Multidimensional political apportionment
Javier Cembrano,
José Correa and
Victor Verdugo
Additional contact information
Javier Cembrano: a Institute of Mathematics, Technische Universität Berlin, 10623 Berlin, Germany;
José Correa: b Department of Industrial Engineering, Universidad de Chile, 8370456 Santiago, Chile;
Victor Verdugo: c Institute of Engineering Sciences, Universidad de O’Higgins, 2841959 Rancagua, Chile
Proceedings of the National Academy of Sciences, 2022, vol. 119, issue 15, e2109305119
Abstract:
A cornerstone in the modern political organization of societies is the existence of a deliberative assembly, reflecting the needs of different population segments. As modern societies become more complex, representation according to dimensions beyond political affiliation and geography is demanded; examples include gender balance and ethnicity. As this dimensionality increases, the task becomes more challenging and requires more sophisticated mathematical tools. In this paper, we initiate the study of multidimensional apportionments and show that, in three and more dimensions, their existence is not guaranteed. However, our main result states that it is possible to elect a house nearly respecting proportionality of representation along several dimensions simultaneously. We finally illustrate the potential of our approach with recent election data.
Keywords: apportionment; integer programming; social choice (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.pnas.org/content/119/15/e2109305119.full (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nas:journl:v:119:y:2022:p:e2109305119
Access Statistics for this article
More articles in Proceedings of the National Academy of Sciences from Proceedings of the National Academy of Sciences
Bibliographic data for series maintained by PNAS Product Team ().