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This note outlines three intellectually distinct but not mutually exclusive strategies for measuring partisan gerrymandering: partisan symmetry, efficiency gap, and algorithmic sampling.
Bernard Grofman and Gary King, The Future of Partisan Symmetry as a Judicial Test for Partisan Gerrymandering After LULAC v. Perry
2007
Earlier work this paper cites.
Persi Diaconis, The Markov Chain Monte Carlo Revolution
2009
Cited alongside, same era.
Gregory Herschlag, Jonathan Mattingly, and Robert Ravier, Evaluating Partisan Gerrymandering in Wisconsin
Cited in the paper.
Stephanopoulos, N. O., & McGhee, E. M. (2015). Partisan gerrymandering and the efficiency gap
2017
Later among the works it cites.
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