Who Is My Neighbor? The Spatial Efficiency of Partisanship

Relative to its overall statewide support, the Republican Party has been over-represented in congressional delegations and state legislatures over the last decade in a number of US states. A challenge is to determine the extent to which this can be explained by intentional gerrymandering as opposed...

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Main Authors: Nicholas Eubank, Jonathan Rodden
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Statistics and Public Policy
Subjects:
Online Access:http://dx.doi.org/10.1080/2330443X.2020.1806762
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author Nicholas Eubank
Jonathan Rodden
author_facet Nicholas Eubank
Jonathan Rodden
author_sort Nicholas Eubank
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description Relative to its overall statewide support, the Republican Party has been over-represented in congressional delegations and state legislatures over the last decade in a number of US states. A challenge is to determine the extent to which this can be explained by intentional gerrymandering as opposed to an underlying inefficient distribution of Democrats in cities. We explain the “spatial inefficiency” of support for Democrats, and demonstrate that it varies substantially both across states and also across legislative chambers within states. We introduce a simple method for measuring this inefficiency by assessing the partisanship of the nearest neighbors of each voter in each US state. Our measure of spatial efficiency helps explain cross-state patterns in legislative representation, and allows us to verify that political geography contributes substantially to inequalities in political representation. At the same time, however, we also show that even after controlling for spatial efficiency, partisan control of the redistricting process has had a substantial impact on the parties’ seat shares. Supplementary materials for this article are available online.
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spelling doaj.art-fd15e255336647c4b72206a3823817072022-12-21T20:25:50ZengTaylor & Francis GroupStatistics and Public Policy2330-443X2020-01-01718710010.1080/2330443X.2020.18067621806762Who Is My Neighbor? The Spatial Efficiency of PartisanshipNicholas Eubank0Jonathan Rodden1Duke UniversityStanford UniversityRelative to its overall statewide support, the Republican Party has been over-represented in congressional delegations and state legislatures over the last decade in a number of US states. A challenge is to determine the extent to which this can be explained by intentional gerrymandering as opposed to an underlying inefficient distribution of Democrats in cities. We explain the “spatial inefficiency” of support for Democrats, and demonstrate that it varies substantially both across states and also across legislative chambers within states. We introduce a simple method for measuring this inefficiency by assessing the partisanship of the nearest neighbors of each voter in each US state. Our measure of spatial efficiency helps explain cross-state patterns in legislative representation, and allows us to verify that political geography contributes substantially to inequalities in political representation. At the same time, however, we also show that even after controlling for spatial efficiency, partisan control of the redistricting process has had a substantial impact on the parties’ seat shares. Supplementary materials for this article are available online.http://dx.doi.org/10.1080/2330443X.2020.1806762gerrymanderingspatial analysisspatial efficiency
spellingShingle Nicholas Eubank
Jonathan Rodden
Who Is My Neighbor? The Spatial Efficiency of Partisanship
Statistics and Public Policy
gerrymandering
spatial analysis
spatial efficiency
title Who Is My Neighbor? The Spatial Efficiency of Partisanship
title_full Who Is My Neighbor? The Spatial Efficiency of Partisanship
title_fullStr Who Is My Neighbor? The Spatial Efficiency of Partisanship
title_full_unstemmed Who Is My Neighbor? The Spatial Efficiency of Partisanship
title_short Who Is My Neighbor? The Spatial Efficiency of Partisanship
title_sort who is my neighbor the spatial efficiency of partisanship
topic gerrymandering
spatial analysis
spatial efficiency
url http://dx.doi.org/10.1080/2330443X.2020.1806762
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