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Deluca, Kevin

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    A Partisan Solution to Partisan Gerrymandering: The Define-Combine Procedure
    (Harvard Kennedy School, 2022-08) Palmer, Maxwell; Schneer, Benjamin; Deluca, Kevin
    Redistricting reformers have proposed many solutions to the problem of partisan gerrymandering but they all require either bipartisan consensus or the agreement of both parties on the legitimacy of a neutral third party to resolve disputes. In this paper we propose a new method for drawing district maps, the Define-Combine Procedure, that substantially reduces partisan gerrymandering without requiring a neutral third party or bipartisan agreement. One party defines a map of 2N equal-population contiguous districts. Then the second party combines pairs of contiguous districts to create the final map of N districts. Using real-world geographic and electoral data, we use simulations and map-drawing algorithms to show that this procedure dramatically reduces the advantage conferred to the party controlling the redistricting process and leads to less biased maps without requiring cooperation or non-partisan actors.