IDEAS home Printed from https://ideas.repec.org/a/eee/mateco/v119y2025ics0304406825000461.html
   My bibliography  Save this article

Proportionality-based fairness and strategyproofness in the facility location problem

Author

Listed:
  • Aziz, Haris
  • Lam, Alexander
  • Lee, Barton E.
  • Walsh, Toby

Abstract

We focus on a simple, one-dimensional collective decision problem (often referred to as the facility location problem) and explore issues of strategyproofness and proportionality-based fairness. Our focus is on the Unanimous Fair Share (UFS) axiom—a strengthening of the proportionality axiom (as in Freeman et al., 2021) We characterize the family of strategyproof and UFS mechanisms and also strategyproof and proportional mechanisms. We show that imposing strategyproofness renders the combination of proportionality and unanimity to be equivalent to UFS. Furthermore, there is a unique mechanism that satisfies strategyproofness and UFS (or, equivalently, proportionality and unanimity): the Uniform Phantom mechanism, which is studied in Freeman et al. (2021). This result strengthens known characterizations in the literature. We also provide an alternative characterization of the outcomes of the Uniform Phantom mechanism as the unique (pure) Nash equilibrium outcome for any mechanism that satisfies continuity, strict monotonicity, and UFS. Finally, we analyze the approximation guarantees, in terms of optimal social welfare, obtained by mechanisms that are strategyproof and satisfy the UFS (and proportionality) axiom. We show that the Uniform Phantom mechanism provides the best approximation of the optimal social welfare among all mechanisms that satisfy UFS (or proportionality).

Suggested Citation

  • Aziz, Haris & Lam, Alexander & Lee, Barton E. & Walsh, Toby, 2025. "Proportionality-based fairness and strategyproofness in the facility location problem," Journal of Mathematical Economics, Elsevier, vol. 119(C).
  • Handle: RePEc:eee:mateco:v:119:y:2025:i:c:s0304406825000461
    DOI: 10.1016/j.jmateco.2025.103129
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304406825000461
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jmateco.2025.103129?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:mateco:v:119:y:2025:i:c:s0304406825000461. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jmateco .

    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.