Quarterly Journal of Political Science > Vol 8 > Issue 3

Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures

Jowei Chen, Department of Political Science, University of Michigan, USA, jowei@umich.edu Jonathan Rodden, Department of Political Science and Hoover Institution, Stanford University, USA, jrodden@stanford.edu
 
Suggested Citation
Jowei Chen and Jonathan Rodden (2013), "Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures", Quarterly Journal of Political Science: Vol. 8: No. 3, pp 239-269. http://dx.doi.org/10.1561/100.00012033

Published: Jun 27, 2013
© 2013 J. Chen and J. Rodden
 
Subjects
Elections
 
 
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In this article:
1. Political Geography and the Roots of Electoral Bias in the United States
2. Automated Districting and Electoral Bias
3. Simulation Results
4. A Closer Look at Political Geography
5. Does Geography Constrain Partisan Gerrymandering?
6. Simulation Results across U.S. States
7. Discussion
References

Abstract

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.

DOI:10.1561/100.00012033

Replication Data | 100.00012033_supp.zip (ZIP).

This file contains the data that is required to replicate the data on your own system.

DOI: 10.1561/100.00012033_supp

Online Appendix | 100.00012033_app.zip (ZIP).

This is the article's accompanying appendix.

DOI: 10.1561/100.00012033_app