Voting with Bidirectional Elimination

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Abstract/Contents

Abstract
Two important criteria for judging the quality of a voting algorithm are strategy-proofness and Condorcet efficiency. While, according to the Gibbard-Satterthwaite theorem, we can expect no voting mechanism to be fully strategy proof, many Condorcet methods are quite susceptible to compromising, burying, and bullet voting. In this paper I propose a new algorithm which I call “Bidirectional Elimination,” a composite of Instant Runoff Voting and the Coombs Method, which offers the benefit of greater resistance to tactical voting while nearly always electing the Condorcet winner when one exists. A program was used to test IRV, the Coombs Method, and Bidirectional Elimination on tens of billions of social preferences profiles in combinations of up to ten voters and ten candidates. I offer mathematical proofs that this new algorithm meets the Condorcet criterion for up to 4 voters and N candidates, or M voters and up to 3 candidates; beyond this, results from the program show that Bidirectional Elimination offers a significant advantage over both IRV and Coombs in approaching Condorcet efficiency.

Description

Type of resource text
Date created March 2011

Creators/Contributors

Author Cook, Matthew S.
Primary advisor Levin, Jonathan
Degree granting institution Stanford University, Department of Economics

Subjects

Subject Stanford Department of Economics
Subject Voting
Subject tactical voting
Subject Condorcet criterion
Subject instant runoff voting
Subject Coombs Method
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Cook, Matthew S. (2011). Voting with Bidirectional Elimination . Stanford Digital Repository. Available at: https://purl.stanford.edu/kd252ks1117

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Stanford University, Department of Economics, Honors Theses

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