IDEAS home Printed from https://ideas.repec.org/a/eee/mateco/v116y2025ics030440682400140x.html
   My bibliography  Save this article

Signaling in dynamic contests with heterogeneous rivals

Author

Listed:
  • Catepillán, Jorge
  • Figueroa, Nicolás
  • Lemus, Jorge

Abstract

We study signaling in dynamic contests where a privately informed challenger faces multiple rivals. When the challenger can choose between simultaneous and sequential contests, the optimal choice hinges on the degree of player heterogeneity. This is because the strength of future opponents affects the incentive to signal, whereas the strength of current opponents affects the extent and cost of signaling. We show that against homogeneous rivals, the challenger may prefer to reveal information through sequential contests. However, against heterogeneous opponents, the challenger prefers simultaneous contests to avoid information revelation. Additionally, in sequential contests with heterogeneous rivals, we characterize the equilibrium choice of rivals’ order (e.g., weak first and strong second) and show that only pooling and partial-pooling equilibria emerge.

Suggested Citation

  • Catepillán, Jorge & Figueroa, Nicolás & Lemus, Jorge, 2025. "Signaling in dynamic contests with heterogeneous rivals," Journal of Mathematical Economics, Elsevier, vol. 116(C).
  • Handle: RePEc:eee:mateco:v:116:y:2025:i:c:s030440682400140x
    DOI: 10.1016/j.jmateco.2024.103080
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030440682400140X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jmateco.2024.103080?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 search for a different version of it.

    More about this item

    Keywords

    Contests; Signaling; Learning; Dynamic games;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    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:116:y:2025:i:c:s030440682400140x. 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.