The Economics of Partisan Gerrymandering
Abstract/Contents
- Abstract
- In the United States, the boundaries of congressional districts are often drawn by political partisans. In the resulting partisan gerrymandering problem, a designer partitions voters into equal-sized districts with the goal of winning as many districts as possible. When the designer can perfectly predict how each individual will vote, the solution is to pack unfavorable voters into homogeneous districts and crack favorable voters across districts that each contain a bare majority of favorable voters. We study the more realistic case where the designer faces both aggregate and individual-level uncertainty, provide conditions under which appropriate generalizations of the pack and crack solution remain optimal, and analyze comparative statics. All districting plans that we find to be optimal are equivalent to special cases of segregate-pair districting, a generalization of pack and crack where all sufficiently unfavorable voter types are segregated in homogeneous districts, and the remaining types are matched in a negatively assortative pattern. Methodologically, we exploit a mathematical connection between gerrymandering—partitioning voters into districts—and information design—partitioning states of the world into signals.
Description
Type of resource | text |
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Date created | July 22, 2021 |
Creators/Contributors
Author | Kolotilin, Anton |
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Author | Wolitzky, Alexander |
Organizer of meeting | Acharya, Avidit |
Organizer of meeting | Callander, Steve |
Organizer of meeting | Eraslan, Hülya |
Organizer of meeting | Foarta, Dana |
Organizer of meeting | Palfrey, Thomas |
Subjects
Subject | gerrymandering |
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Subject | pack and crack |
Subject | assortative matching |
Subject | information design |
Genre | Text |
Genre | Working paper |
Genre | Grey literature |
Bibliographic information
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- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Kolotilin, A. and Wolitzky, A. (2022). The Economics of Partisan Gerrymandering. Stanford Digital Repository. Available at https://purl.stanford.edu/pf897hr0823
Collection
SITE Conference 2021
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