IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v116y2025ics2214804325000369.html
   My bibliography  Save this article

How gender and prosociality affect machine interaction in tax compliance: A game-theoretic experiment

Author

Listed:
  • Murakami, Yutaro
  • Taguchi, Satoshi

Abstract

This study explores how gender and prosociality affect machine interaction in tax compliance, assuming a game-theoretic situation in which the tax auditor is a human (participant) or computer. We adopt an experimental design with 116 participants, using a game-theoretic model between taxpayers and auditors. Our experimental results show that taxpayers report less tax-compliant behavior to computer than human auditors. Regarding the participants’ individual characteristics, men are more likely to more aggressively evade tax payments than women under the computer auditor condition, and participants with prosocial tendencies are more likely to engage in tax compliance when the tax auditor is human. Our study sheds light on policymaking for tax compliance in the digital age.

Suggested Citation

  • Murakami, Yutaro & Taguchi, Satoshi, 2025. "How gender and prosociality affect machine interaction in tax compliance: A game-theoretic experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 116(C).
    • Handle: RePEc:eee:soceco:v:116:y:2025:i:c:s2214804325000369
    DOI: 10.1016/j.socec.2025.102369
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214804325000369
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socec.2025.102369?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:eee:soceco:v:116:y:2025:i:c:s2214804325000369. 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/inca/620175 .

    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.