IDEAS home Printed from https://ideas.repec.org/a/bla/jpbect/v27y2025i6ne70082.html
   My bibliography  Save this article

Catch Laffer If You Can: Tax Take in an Evasion‐Detection Game

Author

Listed:
  • Rosaria Distefano
  • Francesco Reito

Abstract

In a simple taxation framework, we analyze a taxpayer's decision of whether to report income truthfully or engage in an evasion game with the tax agency. Specifically, taxpayer and tax agency can expend efforts, respectively, to conceal income and detect evasion. These activities are costly, and the final outcome—whether evasion is detected or not—is stochastic, and depends endogenously on the relative abilities of the contestants and on the policy parameters set by the authority. We present two main results: (i) evasion always occurs at relatively low tax rates, and then it may exhibit a U‐shaped relationship with the tax rate; (ii) at the revenue‐maximizing tax, the government's revenue is invariant to both detection efficiency and penalty rate.

Suggested Citation

  • Rosaria Distefano & Francesco Reito, 2025. "Catch Laffer If You Can: Tax Take in an Evasion‐Detection Game," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 27(6), December.
  • Handle: RePEc:bla:jpbect:v:27:y:2025:i:6:n:e70082
    DOI: 10.1111/jpet.70082
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jpet.70082
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jpet.70082?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
    ---><---

    More about this item

    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:bla:jpbect:v:27:y:2025:i:6:n:e70082. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/apettea.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.