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Controlling tax evasion fluctuations

Author

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  • Zaklan, Georg
  • Lima, F.W.S.
  • Westerhoff, Frank

Abstract

We incorporate the behaviour of tax evasion into the standard two-dimensional Ising model and augment it by providing policy-makers with the opportunity to curb tax evasion via an appropriate enforcement mechanism. We find that tax evasion may vary greatly over time if no measures of control are taken. Furthermore, we show that even minimal audit rates of a tax authority may help to alleviate this problem substantially. Similar results are observed for other network structures.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:23:p:5857-5861
    DOI: 10.1016/j.physa.2008.06.036
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    References listed on IDEAS

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    1. Frey, Bruno S. & Torgler, Benno, 2007. "Tax morale and conditional cooperation," Journal of Comparative Economics, Elsevier, vol. 35(1), pages 136-159, March.
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    7. 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.
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    Citations

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    Cited by:

    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. 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. Muñoz, Francisco & Nuño, Juan Carlos & Primicerio, Mario, 2015. "Effects of inspections in small world social networks with different contagion rules," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 76-86.
    4. 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.
    5. 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.
    6. Ferreira, Anderson A. & Ferreira, Leandro A. & Mihara, Antonio & Ferreira, Fernando F., 2020. "A stochastic quenched disorder model for interaction of network-master node systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    7. 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.
    8. Gamannossi degl’Innocenti, Duccio & Rablen, Matthew D., 2020. "Tax evasion on a social network," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 79-91.
    9. 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).
    10. 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.
    11. 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.
    12. Pickhardt, Michael & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.

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