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Behavioural economics and tax evasion: calibrating an agent-based econophysics model with experimental tax compliance data

Author

Listed:
  • Aurélie Bonein

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Cécile Bazart

    (LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Sascha Hokamp

    (University of Hamburg)

  • Gotz Seibold

    (BTU - Brandenburg University of Technology [Cottbus – Senftenberg])

Abstract

We observe in the literature a persistent lack of calibrating agent - based econophysics tax evasion models. However, calibrations are indispensable to the quantitative and predictive application of such computational simulation approaches. Therefore, we analyse individual data from two tax compliance experiments with social interaction: from information on tax enforcement measures in groups with income heterogeneity, where the audit probability is known and audit results are publicly and officially announced; and from information about the mean reported income of other group members in the previous period. In our agent - based econophysics simulation, we implement recent advances in behavioural economics, for instance to describe social interactions within a population of behaviourally heterogeneous taxpayers. For this purpose, we employ experimental data showing a bimodal distribution which allows us to apply Ising\textquoterights description of magnetism, a model adopted from statistical physics that can be related to binary choice models. We restrict agents in our econophysics framework to show selfish, imitating, ethical or random motives in their decisions to declare income. We find that the subjects in the experimental laboratory pursue rather mixed behaviour, including random and imitating motives.

Suggested Citation

  • Aurélie Bonein & Cécile Bazart & Sascha Hokamp & Gotz Seibold, 2016. "Behavioural economics and tax evasion: calibrating an agent-based econophysics model with experimental tax compliance data," Post-Print hal-02062366, HAL.
  • Handle: RePEc:hal:journl:hal-02062366
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. Leonardo Barros Torres & Jaylson Jair da Silveira, Gilberto Tadeu Lima, 2022. "To Comply or not to Comply: Persistent Heterogeneity in Tax Compliance and Macroeconomic Dynamics," Working Papers, Department of Economics 2022_04, University of São Paulo (FEA-USP).
    5. Leonardo Barros Torres & Gilberto Tadeu Lima & Jaylson Jair da Silveira, 2024. "Endogenous Tax Compliance and Macroeconomic Performance Driven by Satisficing Evolutionary Dynamics," Working Papers, Department of Economics 2024_10, University of São Paulo (FEA-USP).

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