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Tax Evasion Dynamics And Zaklan Model On Opinion-Dependent Network

Author

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  • F. W. S. LIMA

    (Dietrich Stauffer Computational Physics Lab, Departamento de Física, Universidade Federal do Piauí, Teresina, Piauí, 64049-550, Brazil)

Abstract

Within the context of agent-based Monte-Carlo simulations, we study the problem of the fluctuations of tax evasion in a community of honest citizens and tax evaders by using the version of the nonequilibrium Zaklan model proposed by Lima (2010). The studied evolutionary dynamics of tax evasion are driven by a non-equilibrium majority-vote model of M. J. Oliveira, with the objective to attempt to control the fluctuations of the tax evasion in the observed community in which citizens are localized on the nodes of the Stauffer–Hohnisch–Pittnauer networks.

Suggested Citation

  • F. W. S. Lima, 2012. "Tax Evasion Dynamics And Zaklan Model On Opinion-Dependent Network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 23(06), pages 1-11.
    • Handle: RePEc:wsi:ijmpcx:v:23:y:2012:i:06:n:s0129183112500477
    DOI: 10.1142/S0129183112500477
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    Cited by:

    1. 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.
    2. 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).

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