Statistical evaluation of voting rules

3 years 16 days ago
Statistical evaluation of voting rules
: We generate synthetic elections using two sources of survey data, two spatial models, and two standard models from the voting literature, IAC and IC. For each election that we generate, we test whether each of 54 voting rules is (1) non-manipulable, and (2) efficient in the sense of maximizing summed utilities. We find that Hare and Condorcet-Hare are the most strategy-resistant non-dictatorial rules. Most rules have very similar efficiency scores, apart from a few poor performers such as random dictator, plurality and anti-plurality. Our results are highly robust across data-generating processes. In addition to presenting our numerical results, we explore analytically the effects of adding a Condorcet provision to a base rule and show that, for all but a few base rules, this modification cannot introduce a possibility of manipulation where none existed before. Our analysis provides support for the Condorcet-Hare rule, which has not been prominent in the literature. Journal of Econom...
James Green-Armytage, T. Nicolaus Tideman, Rafael
Added 09 Apr 2016
Updated 09 Apr 2016
Type Journal
Year 2016
Where SCW
Authors James Green-Armytage, T. Nicolaus Tideman, Rafael Cosman
Comments (0)