IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Tax Compliance as an Evolutionary Coordination Game: An Agent-Based Approach

  • Kim Bloomquist

    (Internal Revenue Services Office of Research in Washington, D.C,

Registered author(s):

    Tax reporting compliance by small business owners is modeled in an agent-based framework using concepts and methods based on evolutionary dynamics. A business owner’s ‘‘fitness’’ is a function of net after tax (and post-audit) income. Business owners exhibit heterogeneous tax morale and compliance propensity following four stochastically assigned behavioral ‘‘archetypes’’: Honest, Strategic, Defiant, and Random. The model is calibrated to observations from laboratory experiments and taxpayer random audits. The calibrated model is used to simulate evolutionary changes in a static population of 10,000 small business owners. A simulation using realistic parameters for the probability of audit and penalty rate finds that after fifteen time periods, the initial number of Honest business owners declines by approximately one-third and are displaced by proprietors having either Defiant or Strategic compliance behaviors.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Article provided by in its journal Public Finance Review.

    Volume (Year): 39 (2011)
    Issue (Month): 1 (January)
    Pages: 25-49

    in new window

    Handle: RePEc:sae:pubfin:v:39:y:2011:i:1:p:25-49
    Contact details of provider:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:sae:pubfin:v:39:y:2011:i:1:p:25-49. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.