Optimal redistricting under geographical constraints: Why "pack and crack" does not work
We show that optimal partisan redistricting with geographical constraints is a computationally intractable (NP-complete) problem. In particular, even when voter's preferences are deterministic, a solution is generally not obtained by concentrating opponent's supporters in "unwinnable" districts ("packing") and spreading one's own supporters evenly among the other districts in order to produce many slight marginal wins ("cracking").
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- Katerina Sherstyuk, 1998.
"How to gerrymander: A formal analysis,"
Springer, vol. 95(1), pages 27-49, April.
- Sherstyuk, Katerina, 1998. "How to Gerrymander: A Formal Analysis," Public Choice, Springer, vol. 95(1-2), pages 27-49, April.
- Sherstyuk, Katerina, 1993. "How to Gerrymander: A Formal Analysis," Working Papers 855, California Institute of Technology, Division of the Humanities and Social Sciences.
- Sherstyuk, K., 1995. "How to Gerrymander: A Formal Analysis," Department of Economics - Working Papers Series 469, The University of Melbourne.
- Gilligan, Thomas W & Matsusaka, John G, 1999. "Structural Constraints on Partisan Bias under the Efficient Gerrymander," Public Choice, Springer, vol. 100(1-2), pages 65-84, July.
- Faruk Gul & Wolfgang Pesendorfer, 2010. "Strategic Redistricting," American Economic Review, American Economic Association, vol. 100(4), pages 1616-1641, September.
- Wolfgang Pesendorfer & Faruk Gul, 2007. "Strategic Redistricting," Levine's Bibliography 843644000000000351, UCLA Department of Economics.
- 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. Full references (including those not matched with items on IDEAS)
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