IDEAS home Printed from https://ideas.repec.org/a/spr/jogath/v54y2025i1d10.1007_s00182-025-00927-5.html
   My bibliography  Save this article

The evolutionary dynamics of costly signaling

Author

Listed:
  • Josef Hofbauer

    (University of Vienna)

  • Christina Pawlowitsch

    (University Paris-Panthéon-Assas)

Abstract

The theory of costly signaling (Spence in Q J Econ 87:355–374, 1973) is a well-established paradigm in economics and theoretical biology, where it is also known as the Handicap Principle (Zahavi J Theor Biol 53:205–214, 1975). Nevertheless, while costly-signaling games have been extensively studied in classical game theory (focused on Nash equilibrium and its refinements), evolutionary dynamics in costly-signaling games are relatively unexplored. This paper gives a comprehensive account of evolutionary dynamics in two canonical classes of games with two states of nature, two signals, and two possible reactions to signals: a model with differential signaling costs (similar to Spence’s model) and a model with differential benefits from success (similar to Milgrom and Roberts’s in J Polit Econ 94:796–821, 1986, respectively Grafen’s J Theor Biol 144:517–546, 1990, model). We first use index theory to give a necessary condition for the dynamic stability of the equilibria in these games. Then, we study the replicator dynamics and the best-response dynamics. Along the way, we relate our findings to classical equilibrium refinements that test for the plausibility of beliefs off the equilibrium path.

Suggested Citation

  • Josef Hofbauer & Christina Pawlowitsch, 2025. "The evolutionary dynamics of costly signaling," International Journal of Game Theory, Springer;Game Theory Society, vol. 54(1), pages 1-53, June.
  • Handle: RePEc:spr:jogath:v:54:y:2025:i:1:d:10.1007_s00182-025-00927-5
    DOI: 10.1007/s00182-025-00927-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00182-025-00927-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00182-025-00927-5?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.

    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:spr:jogath:v:54:y:2025:i:1:d:10.1007_s00182-025-00927-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.