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Assessing the Partisan Effects of Redistricting

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  • Cain, Bruce E.

Abstract

The purpose of this article is to assess the reality behind the politician's perception that redistricting matters. There are, of course, many dimensions to that perception, because redistricting has many effects. This articles focuses on the impact of boundary changes on the partisan composition of seats. In order to do this, it will be necessary to specify what the expected partisan effects of redistricting are and how they can be measured. Thus, I first explain how the impact of redistricting will vary with the strategy of particular plans and then explore some techniques for measuring the partisan impact of boundary changes. I conclude with a detailed analysis of the most important congressional redistricting in 1982—the Burton plan in California.

Suggested Citation

  • Cain, Bruce E., 1985. "Assessing the Partisan Effects of Redistricting," American Political Science Review, Cambridge University Press, vol. 79(2), pages 320-333, June.
  • Handle: RePEc:cup:apsrev:v:79:y:1985:i:02:p:320-333_22
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    Citations

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    Cited by:

    1. Samuel Merrill & Bernard Grofman & Thomas Brunell & William Koetzle, 1999. "The Power of Ideologically Concentrated Minorities," Journal of Theoretical Politics, , vol. 11(1), pages 57-74, January.
    2. Hideo Konishi & Chen‐Yu Pan, 2020. "Partisan and bipartisan gerrymandering," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(5), pages 1183-1212, September.
    3. Corbett A. Grainger, 2010. "Redistricting and Polarization: Who Draws the Lines in California?," Journal of Law and Economics, University of Chicago Press, vol. 53(3), pages 545-567.
    4. Franklin Mixon & Kamal Upadhayaya, 1998. "Does federal electoral redistricting induce congressional quits? An empirical note," Applied Economics Letters, Taylor & Francis Journals, vol. 5(2), pages 61-63.
    5. Chatterji, Aaron K. & Kim, Joowon & McDevitt, Ryan C., 2018. "School spirit: Legislator school ties and state funding for higher education," Journal of Public Economics, Elsevier, vol. 164(C), pages 254-269.
    6. Gérard P. Cachon & Dawson Kaaua, 2022. "Serving Democracy: Evidence of Voting Resource Disparity in Florida," Management Science, INFORMS, vol. 68(9), pages 6687-6696, September.
    7. Larry Samuelson, 1987. "A test of the revealed-preference phenomenon in congressional elections," Public Choice, Springer, vol. 54(2), pages 141-169, January.
    8. Matthew P. Dube & Jesse T. Clark & Richard J. Powell, 2022. "Graphical metrics for analyzing district maps," Journal of Computational Social Science, Springer, vol. 5(1), pages 449-475, May.
    9. Hean Wei Koay & Salwa Mokhtar Khairiah, 2022. "The role of political marketing and its importance in Barisan Nasional at Malaysia general election," Technium Social Sciences Journal, Technium Science, vol. 29(1), pages 548-560, March.
    10. H. Benjamin Ashton & Michael H. Crespin & Seth C. McKee, 2023. "Dueling incumbent primaries in U.S. House elections," Social Science Quarterly, Southwestern Social Science Association, vol. 104(2), pages 125-139, March.
    11. Thomas Gilligan & John Matsusaka, 2006. "Public choice principles of redistricting," Public Choice, Springer, vol. 129(3), pages 381-398, December.
    12. repec:thr:techub:10029:y:2022:i:1:p:548-560 is not listed on IDEAS
    13. Artés, Joaquín & Richter, Brian Kelleher & Timmons, Jeffrey F., 2019. "The Value of Political Geography: Evidence from the Redistricting of Firms," Working Papers 291, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.

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