IDEAS home Printed from https://ideas.repec.org/a/now/jlqjps/100.00008077.html
   My bibliography  Save this article

Anonymous Procedures for Condorcet's Model: Robustness, Nonmonotonicity, and Optimality

Author

Listed:
  • Chwe, Michael Suk-Young

Abstract

In Condorcet's model of information aggregation, a group of people decides among two alternatives a and b , with each person getting an independent bit of evidence about which alternative is objectively superior. I consider anonymous procedures, in which the group's decision depends only on the number of people who report a or b , not their identities. A procedure is called incentive compatible for a person if she wants to report truthfully given that others report truthfully. I show that if an anonymous procedure is incentive compatible for both a person who is significantly biased toward a and a person who is significantly biased toward b , then it is incentive compatible for any person, regardless of his preferences and prior beliefs; also, if it is not trivial, it must be nonmonotonic, with an additional report for a sometimes decreasing the probability the group chooses a . I define the "supermajority penalty" (SP) procedure and show that when there are significant biases in both directions, the SP procedure is the optimal anonymous incentive compatible procedure from the point of view of an unbiased person.

Suggested Citation

  • Chwe, Michael Suk-Young, 2010. "Anonymous Procedures for Condorcet's Model: Robustness, Nonmonotonicity, and Optimality," Quarterly Journal of Political Science, now publishers, vol. 5(1), pages 45-70, April.
  • Handle: RePEc:now:jlqjps:100.00008077
    DOI: 10.1561/100.00008077
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1561/100.00008077
    Download Restriction: no

    File URL: https://libkey.io/10.1561/100.00008077?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Charemza, Wojciech & Ladley, Daniel, 2016. "Central banks’ forecasts and their bias: Evidence, effects and explanation," International Journal of Forecasting, Elsevier, vol. 32(3), pages 804-817.

    More about this item

    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:now:jlqjps:100.00008077. 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: Lucy Wiseman (email available below). General contact details of provider: http://www.nowpublishers.com/ .

    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.