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Using Computer Simulations to Measure the Effect of Gerrymandering on Electoral Competition in the U.S. Congress

Bibliographic Data

ID7329458
AuthorsDavid Cottrell (0000-0001-8674-0955, University of Georgia, corresponding author)
Year2019
Volume44
Issue3
Pages487-514
Publication date2019-02-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLegislative Studies Quarterly (JOURNAL)
Journal identifiersISSN: 0362-9805 • E-ISSN: 1939-9162
PublisherWiley (PUBLISHER • GB)
DOI10.1111/lsq.12234
OpenAlexW2917148898
LanguageEN
Citations received9
References cited27

Recent research has leveraged computer simulations to identify the effect of gerrymandering on partisan bias in U.S. legislatures. As a result of this method, researchers are able to distinguish between the intentional partisan bias caused by gerrymandering and the natural partisan bias that stems from the geographic sorting of partisan voters. However, this research has yet to explore the effect of gerrymandering on other biases like reduced electoral competition and incumbency protection. Using a computer algorithm to design a set of districts without political intent, I measure the extent to which the current districts have been gerrymandered to produce safer seats in Congress. I find that gerrymandering only has a minor effect on the average district, but does produce a number of safe seats for both Democrats and Republicans. Moreover, these safe seats tend to be located in states where a single party controls the districting process

Biology · Competition (biology · Computer security · Democracy · Gerrymandering · Legislative process · Legislature · Measure (data warehouse · Political science · Politics · Redistricting · SAFER · Sorting · Computer Science · Electoral Systems and Political Participation · Fiscal Policies and Political Economy · Game Theory and Voting Systems · Law

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Unique citing works9
Citations per year1,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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