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Representation in District-Based Elections

Author

Listed:
  • Yunus C. Aybas
  • Oguzhan Celebi
  • Surabhi Dutt

Abstract

District-based elections must reconcile two objectives: representing each district's electorate and matching the statewide delegation to parties' vote shares. We study seat allocation rules when these objectives conflict. The optimal rules, characterized by a cutoff, form a family ranging from first-past-the-post to proportional representation as the weight on statewide representation increases. Along this path, gaining further seats through gerrymandering becomes increasingly difficult. The characterization yields a measure of the robustness of first-past-the-post to statewide representation concerns, which we compare with established electoral diagnostics. In U.S. House elections from 2002 to 2024, we find that maps drawn by single-party legislatures perform worse than those produced by courts or non-partisan commissions. The efficiency gap, a common measure of partisan gerrymandering, is more strongly associated with litigated maps than the other measures, yet magnifies the extent to which Republican-legislature maps appear worse than Democratic-legislature maps.

Suggested Citation

  • Yunus C. Aybas & Oguzhan Celebi & Surabhi Dutt, 2026. "Representation in District-Based Elections," Papers 2602.12910, arXiv.org, revised Oct 2026.
  • Handle: RePEc:arx:papers:2602.12910
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    References listed on IDEAS

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    1. Stephen Coate & Brian Knight, 2007. "Socially Optimal Districting: A Theoretical and Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1409-1471.
    2. Loosemore, John & Hanby, Victor J., 1971. "The Theoretical Limits of Maximum Distortion: Some Analytic Expressions for Electoral Systems," British Journal of Political Science, Cambridge University Press, vol. 1(4), pages 467-477, October.
    3. Satterthwaite, Mark Allen, 1975. "Strategy-proofness and Arrow's conditions: Existence and correspondence theorems for voting procedures and social welfare functions," Journal of Economic Theory, Elsevier, vol. 10(2), pages 187-217, April.
    4. Rahul Swamy & Douglas M. King & Sheldon H. Jacobson, 2023. "Multiobjective Optimization for Politically Fair Districting: A Scalable Multilevel Approach," Operations Research, INFORMS, vol. 71(2), pages 536-562, March.
    5. Torsten Persson & Guido Tabellini, 2005. "The Economic Effects of Constitutions," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262661926, December.
    6. Federica Ricca & Andrea Scozzari & Bruno Simeone, 2013. "Political Districting: from classical models to recent approaches," Annals of Operations Research, Springer, vol. 204(1), pages 271-299, April.
    7. John N. Friedman & Richard T. Holden, 2008. "Optimal Gerrymandering: Sometimes Pack, but Never Crack," American Economic Review, American Economic Association, vol. 98(1), pages 113-144, March.
    8. Gibbard, Allan, 1973. "Manipulation of Voting Schemes: A General Result," Econometrica, Econometric Society, vol. 41(4), pages 587-601, July.
    9. Steven M. Shechter, 2025. "Congressional Apportionment: A Multiobjective Optimization Approach," Management Science, INFORMS, vol. 71(2), pages 1464-1487, February.
    10. Chen, Jowei & Rodden, Jonathan, 2013. "Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures," Quarterly Journal of Political Science, now publishers, vol. 8(3), pages 239-269, June.
    11. Gian Maria Milesi-Ferretti & Roberto Perotti & Massimo Rostagno, 2002. "Electoral Systems and Public Spending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 609-657.
    12. M. L. Balinski & H. P. Young, 1979. "Criteria for Proportional Representation," Operations Research, INFORMS, vol. 27(1), pages 80-95, February.
    13. Anuj Mehrotra & Ellis L. Johnson & George L. Nemhauser, 1998. "An Optimization Based Heuristic for Political Districting," Management Science, INFORMS, vol. 44(8), pages 1100-1114, August.
    14. Eric Maskin, 1999. "Nash Equilibrium and Welfare Optimality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(1), pages 23-38.
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