While conventional wisdom holds that partisan bias in U.S. legislative elections results from intentional partisan and racial gerrymandering, we demonstrate that substantial bias can also emerge from patterns of human geography. We show that in many states, Democrats are inefficiently concentrated in large cities and smaller industrial agglomerations such that they can expect to win fewer than 50% of the seats when they win 50% of the votes. To measure this “unintentional gerrymandering,” we use automated districting simulations based on precinct-level 2000 presidential election results in several states. Our results illustrate a strong relationship between the geographic concentration of Democratic voters and electoral bias favoring Republicans.
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27 June 2013
Research Article|
June 27 2013
Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures
Jowei Chen;
Jowei Chen
Department of Political Science,
University of Michigan
, 5700 Haven Hall, 505 South State Street, Ann Arbor, MI 48109-1045, USA
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Jonathan Rodden
Jonathan Rodden
Department of Political Science and Hoover Institution,
Stanford University
, Encina Hall West, Suite 100, Stanford, CA 94305-6044, USA
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*
The authors wish to thank Micah Altman, Pablo Beramendi, Kyle Dropp, David Epstein, Andrew Gelman, Tony Hill, Nolan McCarty, Michael McDonald, Boris Shor, John Sides, and Chris Warshaw for helpful comments and suggestions.
Online ISSN: 1554-0634
Print ISSN: 1554-0626
© 2013 J. Chen and J. Rodden
2013
J. Chen and J. Rodden
Licensed re-use rights only
Quarterly Journal of Political Science (2013) 8 (3): 239–269.
Citation
Chen J, Rodden J (2013), "Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures". Quarterly Journal of Political Science, Vol. 8 No. 3 pp. 239–269, doi: https://doi.org/10.1561/100.00012033
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