IDEAS home Printed from https://ideas.repec.org/p/cuf/wpaper/789.html
   My bibliography  Save this paper

Mean-Field Principal-Agent Contracts with Relative Performance: An Explicit Formula under Sannikov-Style Primitives

Author

Listed:
  • Heng-fu Zou

Abstract

We analyze a continuum of risk-neutral agents working under a risk-neutral principal. Each agent's output depends on hidden effort and random shocks, while the principal observes both individual outcomes and their cross-sectional average. Agents value consumption linearly but face quadratic effort costs, with all parties discounting at a common rate. We derive the optimal contract in closed form. It consists of a fixed salary plus a relative-performance component that rewards an agent's outcome compared to the group average. This design preserves incentives, since no individual can influence the average, while filtering out common risks and transitory fluctuations. In the unique symmetric equilibrium, all agents exert constant efficient effort, and the fixed salary adjusts to ensure participation. Because of risk neutrality, the contract is independent of the level of randomness.

Suggested Citation

  • Heng-fu Zou, 2025. "Mean-Field Principal-Agent Contracts with Relative Performance: An Explicit Formula under Sannikov-Style Primitives," CEMA Working Papers 789, China Economics and Management Academy, Central University of Finance and Economics.
  • Handle: RePEc:cuf:wpaper:789
    as

    Download full text from publisher

    File URL: https://down.aefweb.net/WorkingPapers/w789.pdf
    Download Restriction: no
    ---><---

    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:cuf:wpaper:789. 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: Qiang Gao (email available below). General contact details of provider: https://edirc.repec.org/data/emcufcn.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.