Measuring the Compactness of Political Districting Plans

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Measuring the Compactness of Political Districting Plans

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Title: Measuring the Compactness of Political Districting Plans
Author: Fryer, Roland Gerhard; Holden, Richard

Note: Order does not necessarily reflect citation order of authors.

Citation: Fryer, Roland Gerhard, and Richard Holden. 2011. "Measuring the Compactness of Political Districting Plans." Journal of Law and Economics 54 (3): 493–535.
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Abstract: We develop a measure of compactness based on the distance between voters within the same district relative to the minimum distance achievable, which we coin the relative proximity index. Any compactness measure that satisfies three desirable properties (anonymity of voters, efficient clustering, and invariance to scale, population density, and number of districts) ranks districting plans identically to our index. We then calculate the relative proximity index for the 106th Congress, which requires us to solve for each state’s maximal compactness—a problem that is nondeterministic polynomial-time hard (NP hard). The correlations between our index and the commonly used measures of dispersion and perimeter are −.37 and −.29, respectively. We conclude by estimating seat-vote curves under maximally compact districts for several large states. The fraction of additional seats a party obtains when its average vote increases is significantly greater under maximally compact districting plans relative to the existing plans.
Published Version: doi:10.1086/661511
Other Sources: http://www.nber.org/papers/w13456.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13456931
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