IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2005.07521.html
   My bibliography  Save this paper

Exploring Weak Strategy-Proofness in Voting Theory

Author

Listed:
  • Anne Carlstein

    (Massachusetts Institute of Technology)

Abstract

Voting is the aggregation of individual preferences in order to select a winning alternative. Selection of a winner is accomplished via a voting rule, e.g., rank-order voting, majority rule, plurality rule, approval voting. Which voting rule should be used? In social choice theory, desirable properties of voting rules are expressed as axioms to be satisfied. This thesis focuses on axioms concerning strategic manipulation by voters. Sometimes, voters may intentionally misstate their true preferences in order to alter the outcome for their own advantage. For example, in plurality rule, if a voter knows that their top-choice candidate will lose, then they might instead vote for their second-choice candidate just to avoid an even less desirable result. When no coalition of voters can strategically manipulate, then the voting rule is said to satisfy the axiom of Strategy-Proofness. A less restrictive axiom is Weak Strategy-Proofness (as defined by Dasgupta and Maskin (2019)), which allows for strategic manipulation by all but the smallest coalitions. Under certain intuitive conditions, Dasgupta and Maskin (2019) proved that the only voting rules satisfying Strategy-Proofness are rank-order voting and majority rule. In my thesis, I generalize their result, by proving that rank-order voting and majority rule are surprisingly still the only voting rules satisfying Weak Strategy-Proofness.

Suggested Citation

  • Anne Carlstein, 2020. "Exploring Weak Strategy-Proofness in Voting Theory," Papers 2005.07521, arXiv.org.
  • Handle: RePEc:arx:papers:2005.07521
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2005.07521
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2005.07521. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.