IDEAS home Printed from https://ideas.repec.org/a/ajp/edwast/v9y2025i9p1895-1923id10237.html
   My bibliography  Save this article

Narratives as macroeconomic signals: Shaping expectations, confidence, and collective action

Author

Listed:
  • Christos Christodoulou-Volos

Abstract

This paper reviews the emerging literature on how macroeconomic narratives—systematized, socially agreed-upon stories of the economy—function as signals that shape expectations, impact confidence, and drive collective economic behavior. Based on rational expectations, behavioral economics, signaling theory, narrative economics, and sociological methods, we examine how stories arise, disseminate through multiple channels, and gain strength through contagion and feedback loops. Empirical evidence demonstrates that policy communication stories, media framing, market commentaries, and public discourse can influence consumption, investment, asset prices, and political opinions individually. The literature's primary shortcomings include vagueness of definitions, measurement problems, causality issues, and a lack of cross-cultural and non-crisis research. Future research directions involve conceptual standardization, richer narrative measurement, improved causal inference, channel attribution, and integration into macroeconomic models. The paper concludes with insights into the strategic potential of narrative management for policymakers, market participants, and media outlets, as well as associated risks in policy and practice.

Suggested Citation

  • Christos Christodoulou-Volos, 2025. "Narratives as macroeconomic signals: Shaping expectations, confidence, and collective action," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(9), pages 1895-1923.
  • Handle: RePEc:ajp:edwast:v:9:y:2025:i:9:p:1895-1923:id:10237
    as

    Download full text from publisher

    File URL: https://learning-gate.com/index.php/2576-8484/article/view/10237/3340
    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:ajp:edwast:v:9:y:2025:i:9:p:1895-1923:id:10237. 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: Melissa Fernandes (email available below). General contact details of provider: https://learning-gate.com/index.php/2576-8484/ .

    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.