38 Pages Posted: 5 Oct 2011 Last revised: 20 Mar 2012
Date Written: March 19, 2012
One criterion for evaluating voting rules is the frequency with which they select the best candidate. Using a spatial model of voting that is capable of simulating data with the same statistical structure as data from actual elections, we simulate elections for which we can define the best candidate. We use these simulated data to investigate the frequencies with which fourteen voting rules chose this candidate as their winner. We find that the Black rule tends to perform better than the other rules, especially in elections with few voters. The Bucklin rule, the plurality rule, and the anti-plurality rule tend to perform worse than the other eleven rules, especially in elections with many voters.
Keywords: spatial model, multinomial-Dirichlet distribution, the Black rule
JEL Classification: C4, D72
Suggested Citation: Suggested Citation
Tideman, T. Nicolaus and Plassmann, Florenz, Which Voting Rule is Most Likely to Choose the 'Best' Candidate? (March 19, 2012). Available at SSRN: https://ssrn.com/abstract=1939105 or http://dx.doi.org/10.2139/ssrn.1939105