IDEAS home Printed from https://ideas.repec.org/p/ris/smuesw/2022_002.html
   My bibliography  Save this paper

Domains for Well Behaved Monotonic Social Choice Functions

Author

Listed:
  • Ramos, Paulo

    (Singapore Management University)

Abstract

We present here a set of necessary and sufficient conditions for an MDConnected Domain to support a Well Behaved Monotonic Social Choice Function. We require the domain to have a minimal number of preferences in which a pair of alternatives flips their relation, and these reversals must occurr in accordance to a tree graph. While this condition cannot be summarized by a set of restrictions on individual preferences, we provide two alternative characterizations that can, one that is necessary and another that is sufficient.

Suggested Citation

  • Ramos, Paulo, 2022. "Domains for Well Behaved Monotonic Social Choice Functions," Economics and Statistics Working Papers 2-2022, Singapore Management University, School of Economics.
  • Handle: RePEc:ris:smuesw:2022_002
    as

    Download full text from publisher

    File URL: https://ink.library.smu.edu.sg/soe_research/2604/
    File Function: Full text
    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:ris:smuesw:2022_002. 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: Cheong Pei Qi (email available below). General contact details of provider: https://edirc.repec.org/data/sesmusg.html .

    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.