IDEAS home Printed from https://ideas.repec.org/a/spr/jeicoo/v4y2009i1p1-14.html
   My bibliography  Save this article

Analysing tax evasion dynamics via the Ising model

Author

Listed:
  • Georg Zaklan
  • Frank Westerhoff
  • Dietrich Stauffer

Abstract

We develop a model of tax evasion based on the Ising model. We augment the model using an appropriate enforcement mechanism that may allow policy makers to curb tax evasion. With a certain probability tax evaders are subject to an audit. If they get caught they behave honestly for a certain number of periods. Simulating the model for a range of parameter combinations, we show that tax evasion may be controlled effectively by using punishment as an enforcement mechanism.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Georg Zaklan & Frank Westerhoff & Dietrich Stauffer, 2009. "Analysing tax evasion dynamics via the Ising model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 1-14, June.
  • Handle: RePEc:spr:jeicoo:v:4:y:2009:i:1:p:1-14
    DOI: 10.1007/s11403-008-0043-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11403-008-0043-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11403-008-0043-5?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joel Slemrod, 2007. "Cheating Ourselves: The Economics of Tax Evasion," Journal of Economic Perspectives, American Economic Association, vol. 21(1), pages 25-48, Winter.
    2. Zaklan, Georg & Lima, F.W.S. & Westerhoff, Frank, 2008. "Controlling tax evasion fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(23), pages 5857-5861.
    3. Allingham, Michael G. & Sandmo, Agnar, 1972. "Income tax evasion: a theoretical analysis," Journal of Public Economics, Elsevier, vol. 1(3-4), pages 323-338, November.
    4. F. W. S. Lima & Georg Zaklan, 2008. "A Multi-Agent-Based Approach To Tax Morale," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(12), pages 1797-1808.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pickhardt, Michael & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.
    2. L. S. Di Mauro & A. Pluchino & A. E. Biondo, 2018. "A Game of Tax Evasion: evidences from an agent-based model," Papers 1809.08146, arXiv.org.
    3. Sascha Hokamp & Götz Seibold, 2014. "Tax Compliance and Public Goods Provision. An Agent-based Econophysics Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(4), pages 217-236, December.
    4. Pickhardt, Michael & Seibold, Goetz, 2014. "Income tax evasion dynamics: Evidence from an agent-based econophysics model," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 147-160.
    5. Andrei, Amanda L. & Comer, Kevin & Koehler, Matthew, 2014. "An agent-based model of network effects on tax compliance and evasion," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 119-133.
    6. Sascha Hokamp & Michael Pickhardt, 2010. "Income Tax Evasion in a Society of Heterogeneous Agents - Evidence from an Agent-based Model," International Economic Journal, Taylor & Francis Journals, vol. 24(4), pages 541-553.
    7. Giraldo-Barreto, Julian & Restrepo, J., 2021. "Tax evasion study in a society realized as a diluted Ising model with competing interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    8. Hokamp, Sascha, 2014. "Dynamics of tax evasion with back auditing, social norm updating, and public goods provision – An agent-based simulation," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 187-199.
    9. Goerke, Laszlo, 2013. "Relative consumption and tax evasion," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 52-65.
    10. Henrik Jacobsen Kleven & Claus Thustrup Kreiner & Emmanuel Saez, 2016. "Why Can Modern Governments Tax So Much? An Agency Model of Firms as Fiscal Intermediaries," Economica, London School of Economics and Political Science, vol. 83(330), pages 219-246, April.
    11. Angel Solano García, 2015. "Tax Morale with Partisan Parties," Hacienda Pública Española / Review of Public Economics, IEF, vol. 213(2), pages 83-108, June.
    12. Mirco Tonin, 2014. "Reporting import tariffs (and other taxes)," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(1), pages 153-173, February.
    13. Coricelli, Giorgio & Rusconi, Elena & Villeval, Marie Claire, 2014. "Tax evasion and emotions: An empirical test of re-integrative shaming theory," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 49-61.
    14. Khalil, Sandra & Sidani, Yusuf, 2020. "The influence of religiosity on tax evasion attitudes in Lebanon," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 40(C).
    15. Dina Pomeranz & José Vila-Belda, 2019. "Taking State-Capacity Research to the Field: Insights from Collaborations with Tax Authorities," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 755-781, August.
    16. Martin Abraham & Kerstin Lorek & Friedemann Richter & Matthias Wrede, 2017. "Collusive tax evasion and social norms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(2), pages 179-197, April.
    17. Bayer, Ralph-C & Sutter, Matthias, 2009. "The excess burden of tax evasion--An experimental detection-concealment contest," European Economic Review, Elsevier, vol. 53(5), pages 527-543, July.
    18. Alstadsæter, Annette & Jacob, Martin, 2013. "The effect of awareness and incentives on tax evasion," arqus Discussion Papers in Quantitative Tax Research 147, arqus - Arbeitskreis Quantitative Steuerlehre.
    19. Fack, Gabrielle & Landais, Camille, 2016. "The effect of tax enforcement on tax elasticities: Evidence from charitable contributions in France," Journal of Public Economics, Elsevier, vol. 133(C), pages 23-40.
    20. Levaggi, Rosella & Menoncin, Francesco, 2016. "Optimal dynamic tax evasion: A portfolio approach," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 115-129.

    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:jeicoo:v:4:y:2009:i:1:p:1-14. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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.