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Redistricting by Formula

An Ohio Reform Experiment

Bibliographic Data

ID6180199
AuthorsMelissa Altman (0000-0001-7382-6960, Massachusetts Institute of Technology, corresponding author), Micah Altman, Michael P Mcdonald (0000-0002-3717-4405, University of Florida), Michael Mcdonald (0000-0002-4063-4441)
Year2018
Volume46
Issue1
Pages103-131
Publication date2018-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Politics Research (JOURNAL)
Journal identifiersISSN: 1532-673X • E-ISSN: 1552-3373
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1532673x17700611
OpenAlexW3122192783
LanguageEN
Citations received5
References cited31

In the last decade, Ohio reformers advocated redistricting by formula: selecting the redistricting plan that scores best on a predefined objective scoring function that combines prima facie neutral criteria with political goals of plan fairness and district competition. In the post-2010 redistricting, these reformers hosted a public competition where prizes were awarded to the best legal plan scored on the reformers’ formula. The submitted plans provide a unique opportunity to evaluate how redistricting by formula may work in practice. Our analysis finds the public yields a broader range of redistricting plans, on indicia of legal and public policy interest, than developed by the state legislature. The Pareto frontier reveals plans that perform better than the legislature’s adopted plan on one and two dimensions, as well as the reformers’ overall scoring function. Our evaluation reveals minimal trade-offs among the components of the overall competition’s scoring criteria, but we caution that the scoring formula may be sensitive to implementation choices among its components. Compared with the legislature’s plan, the reform community can get more of the four criteria they value; importantly, without sacrificing the state’s only African American opportunity congressional district

Legislature · Political science · Politics · Redistricting · Representativeness heuristic · Computer Science · Electoral Systems and Political Participation · Fiscal Policies and Political Economy · Law · Local Government Finance and Decentralization · Public Administration

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Unique citing works5
Citations per year0,83
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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