IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1508.02476.html
   My bibliography  Save this paper

A Model for Tax Evasion with Some Realistic Properties

Author

Listed:
  • Richard Vale

Abstract

We present a discrete-time dynamic model of income tax evasion. The model is solved exactly in the case of a single taxpayer and shown to have some realistic properties, including avoiding the Yitzhaki paradox. The extension to an agent-based model with a network of taxpayers is also investigated.

Suggested Citation

  • Richard Vale, 2015. "A Model for Tax Evasion with Some Realistic Properties," Papers 1508.02476, arXiv.org.
  • Handle: RePEc:arx:papers:1508.02476
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1508.02476
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klepper, Steven & Nagin, Daniel & Spurr, Stephen, 1991. "Tax Rates, Tax Compliance, and the Reporting of Long-Term Capital Gains," Public Finance = Finances publiques, , vol. 46(2), pages 236-251.
    2. Seibold, Götz & Pickhardt, Michael, 2013. "Lapse of time effects on tax evasion in an agent-based econophysics model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2079-2087.
    3. Korobow, Adam & Johnson, Chris & Axtell, Robert, 2007. "An Agent–Based Model of Tax Compliance With Social Networks," National Tax Journal, National Tax Association;National Tax Journal, vol. 60(3), pages 589-610, September.
    4. Yitzhaki, Shlomo, 1974. "Income tax evasion: A theoretical analysis," Journal of Public Economics, Elsevier, vol. 3(2), pages 201-202, May.
    5. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. E. Biondo & G. Burgio & A. Pluchino & D. Puglisi, 2022. "Taxation and evasion: a dynamic model," Journal of Evolutionary Economics, Springer, vol. 32(3), pages 797-826, July.
    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. Letizia S. Di Mauro & Alessandro Pluchino & Alessio E. Biondo, 2019. "Tax evasion as a contagion game: evidences from an agent-based model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 92(5), pages 1-12, May.

    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 & 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.
    2. Pickhardt, Michael & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. V.A. Molodykh, 2021. "Impact of Short-Term Exogenous Shocks on Taxpayer Behavior and Tax Evasion," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 241-268.
    8. Levaggi, Rosella & Menoncin, Francesco, 2012. "Tax audits, fines and optimal tax evasion in a dynamic context," Economics Letters, Elsevier, vol. 117(1), pages 318-321.
    9. Feng Xiong & Shaojie Xiang & Peng Jin, 2019. "Study On Computational Experiments Of C2c Tax Compliance Based On Information Of Cybermediaries," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-29, March.
    10. Kim Bloomquist, 2011. "Tax Compliance as an Evolutionary Coordination Game: An Agent-Based Approach," Public Finance Review, , vol. 39(1), pages 25-49, January.
    11. Hashimzade, Nigar & Myles, Gareth D. & Rablen, Matthew D., 2016. "Predictive analytics and the targeting of audits," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 130-145.
    12. Judith Panadés, 2004. "Tax Evasion and Relative Tax Contribution," Public Finance Review, , vol. 32(2), pages 183-195, March.
    13. Rao, R. Kavita & Tandon, Suranjali, 2016. "Revisiting the tax compliance problem using prospect theory," Working Papers 16/169, National Institute of Public Finance and Policy.
    14. Nuno Trindade Magessi & Luis Antunes, 2015. "Risk Perception and Risk Attitude on a Tax Evasion Context," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(3), pages 127-149, September.
    15. Nigar Hashimzade & Gareth Myles & Frank Page & Matthew Rablen, 2015. "The use of agent-based modelling to investigate tax compliance," Economics of Governance, Springer, vol. 16(2), pages 143-164, May.
    16. R.Kavita Rao & Suranjali Tandon, 2016. "Revisiting the Tax Compliance Problem using Prospect Theory," Working Papers id:11225, eSocialSciences.
    17. Torgler, Benno & Schneider, Friedrich & Schaltegger, Christoph A., 2007. "With or Against the People? The Impact of a Bottom-Up Approach on Tax Morale and the Shadow Economy," Berkeley Olin Program in Law & Economics, Working Paper Series qt6331x6vz, Berkeley Olin Program in Law & Economics.
    18. Puklavec, Žiga & Kogler, Christoph & Stavrova, Olga & Zeelenberg, Marcel, 2023. "What we tweet about when we tweet about taxes: A topic modelling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1242-1254.
    19. Friedrich Heinemann & Martin Kocher, 2013. "Tax compliance under tax regime changes," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(2), pages 225-246, April.
    20. Casal, Sandro & Mittone, Luigi, 2016. "Social esteem versus social stigma: The role of anonymity in an income reporting game," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 55-66.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:1508.02476. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.