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Learning in experiments: Dynamic interaction of policy variables designed to deter tax evasion

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  • Soliman, Amal
  • Jones, Philip
  • Cullis, John

Abstract

While neoclassical economic theory sheds insight into the way that audit rates and penalty rates interact when individuals decide to declare income for taxation, it predicts far lower levels of compliance than observed levels of compliance. This paper analyses experimental responses to explore a dynamic interaction between audit and penalty rates as individuals learn how to comply with taxation. It compares the responses of subjects in experiments with responses that are predicted when individuals rely on an adaptive learning process (that offers information feedback about decision payoffs). This comparison suggests that learning is an important consideration when explaining differences between predicted and observed levels of tax compliance.

Suggested Citation

  • Soliman, Amal & Jones, Philip & Cullis, John, 2014. "Learning in experiments: Dynamic interaction of policy variables designed to deter tax evasion," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 175-186.
    • Handle: RePEc:eee:joepsy:v:40:y:2014:i:c:p:175-186
    DOI: 10.1016/j.joep.2013.05.012
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    References listed on IDEAS

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    Cited by:

    1. Garcia, Filomena & Opromolla, Luca David & Vezzulli, Andrea & Marques, Rafael, 2020. "The effects of official and unofficial information on tax compliance," Journal of Economic Psychology, Elsevier, vol. 78(C).
    2. Korndörfer, Martin & Krumpal, Ivar & Schmukle, Stefan C., 2014. "Measuring and explaining tax evasion: Improving self-reports using the crosswise model," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 18-32.
    3. Pukelienė Violeta & Kažemekaitytė Austėja, 2016. "Tax Behaviour: Assessment of Tax Compliance in European Union Countries," Ekonomika (Economics), Sciendo, vol. 95(2), pages 30-56, February.
    4. Aloys Prinz, 2019. "Learning (Not) to Evade Taxes," Games, MDPI, vol. 10(4), pages 1-18, September.

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    More about this item

    Keywords

    Tax evasion; Experiment; Adaptive learning; Simulation;
    All these keywords.

    JEL classification:

    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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