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Published in: Public Choice 1-2/2017

15-02-2017

The robustness of quadratic voting

Author: E. Glen Weyl

Published in: Public Choice | Issue 1-2/2017

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Abstract

Lalley and Weyl (Quadratic voting, 2016) propose a mechanism for binary collective decisions, Quadratic Voting (QV), and prove its approximate efficiency in large populations in a stylized environment. They motivate their proposal substantially based on its greater robustness when compared with pre-existing efficient collective decision mechanisms. However, these suggestions are based purely on discussion of structural properties of the mechanism. In this paper, I study these robustness properties quantitatively in an equilibrium model. Given the mathematical challenges with establishing results on QV fully formally, my analysis relies on a number of structural conjectures that have been proven in analogous settings in the literature, but in the models I consider here. While most of the factors I study reduce the efficiency of QV to some extent, it is reasonably robust to all of them and quite robustly outperforms one-person-one-vote. Collusion and fraud, except on a very large scale, are deterred either by unilateral deviation incentives or by the reactions of non-participants to the possibility of their occurring. I am able to study aggregate uncertainty only for particular parametric distributions, but using the most canonical structures in the literature I find that such uncertainty reduces limiting efficiency, but never by a large magnitude. Voter mistakes or non-instrumental motivations for voting, so long as they are uncorrelated with values, may either enhance or harm efficiency depending on the setting. These findings contrast with existing (approximately) efficient mechanisms, all of which are highly sensitive to at least one of these factors.

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Appendix
Available only for authorised users
Footnotes
1
LW actually use a slightly different form of QV with a smoothed rather than sharp majority rule and, thus, the relevant marginal pivotality for them is slightly different. I ignore these details to maximize expositional clarity.
 
2
See Experian Marketing’s 2013 Lesbian, Gay, Bisexual, Transgender Demographic Report.
 
3
The reason is that the utility of the group depends only on the aggregate number of votes it buys and the aggregate payments it makes. Conditional on the first, the second is minimized when all individuals split equally the aggregate votes because the quadratic function is convex.
 
4
In a previous analysis I considered also an average case with randomly drawn individuals. This case seems fairly unrealistic, however, and my results are strictly better for QV in this case so I did not consider it to be worth including.
 
5
Note that here I implicitly use the idea that EI can be decomposed lineraly across these two cases, which is not precisely correct because the welfare created in the two cases may differ. It can easily, but very tediously, be shown that this does not change the results; this analysis is available on request, but in what follows I continue to use this decomposition.
 
6
These results are extremely conservative for a variety of reasons (the collusive group would be significantly less pivotal and would also have a significantly smaller impact on welfare than is given by the approximation of constant pivotality), so this is likely an exaggeration, but not a great one.
 
7
Note, however, that this is only true of “type-symmetric” collusive strategies where it is individuals of particular types, rather than individuals of particular names, that collude.
 
8
However, as McLean and Postelwaite (2015) argue, it may be an efficient mechanism given aggregate certainty that provides correct incentives for individuals to reveal their information to the group and thus create this aggregate certainty. Thus, aggregate certainty may be the appropriate framework for analysis of a robust mechanism like QV even if it would admit other, non-robust mechanisms.
 
9
In fact, Kawai and Watanabe (2013) and Spenkuch (2015) find empirically that, conditional on voting at all, voters do behave quite strategically.
 
10
An alternative model that I have also considered but do not report here for brevity is one wherein individuals overestimate the chance of being pivotal unless they pay a cost to obtain a better estimate. In this case QV behaves more like 1p1v, thus losing some of its efficiency benefits over the latter. However, it may perform better for finite populations as this is the case that most effectively deters extremists and it always continues to outperform 1p1v, at least if the costs of acquiring information about p are excluded. If these are included, 1p1v may perform better.
 
11
The statistics of all of these events are dominated by variations in values rather than in \(\epsilon\) by my assumption that \(\epsilon\) has a bounded support distribution, so I ignore the distribution of \(\epsilon\) in what follows.
 
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Metadata
Title
The robustness of quadratic voting
Author
E. Glen Weyl
Publication date
15-02-2017
Publisher
Springer US
Published in
Public Choice / Issue 1-2/2017
Print ISSN: 0048-5829
Electronic ISSN: 1573-7101
DOI
https://doi.org/10.1007/s11127-017-0405-4

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