IDEAS home Printed from https://ideas.repec.org/p/zbw/arqudp/268.html
   My bibliography  Save this paper

The epidemiology of tax avoidance narratives

Author

Listed:
  • Lorenz, Johannes
  • Diller, Markus
  • Sureth, Caren

Abstract

This study investigates the contagious nature of tax avoidance by examining how narratives affect tax avoiding behavior. We adapt the idea of narrative economics indicating that individuals' actions are stimulated by stories that spread within a society. We employ two types of infection models to theoretically investigate how tax avoidance schemes spread over time and vanish eventually consistent with patterns known from epidemiology. We find that general tax avoidance can persist even if its expected outcome is negative, while specific tax avoidance schemes might vanish even though their expected outcome is positive. We find empirical support for the predicted dissemination of narratives related to both general and specific tax avoidance schemes in google n-grams. Finally, we show that dissemination of specific tax avoidance schemes is attenuated by anti-narratives in (social) media. Our findings help to understand how tax avoidance spreads, under what conditions anti-avoidance measures can effectively curb tax avoidance and point towards the crucial role of transparency of enhanced enforcement by visible narratives.

Suggested Citation

  • Lorenz, Johannes & Diller, Markus & Sureth, Caren, 2021. "The epidemiology of tax avoidance narratives," arqus Discussion Papers in Quantitative Tax Research 268, arqus - Arbeitskreis Quantitative Steuerlehre.
  • Handle: RePEc:zbw:arqudp:268
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/242818/1/1770936165.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Markus Diller & Johannes Lorenz & David Meier, 2020. "Tax Avoidance and Social Control," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 633-639, Springer.
    2. Myles, Gareth D. & Naylor, Robin A., 1996. "A model of tax evasion with group conformity and social customs," European Journal of Political Economy, Elsevier, vol. 12(1), pages 49-66, April.
    3. David A. Weisbach, 2002. "An Economic Analysis of Anti-Tax-Avoidance Doctrines," American Law and Economics Review, American Law and Economics Association, vol. 4(1), pages 88-115, January.
    4. 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.
    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. Johannes Lorenz, 2019. "Population dynamics of tax avoidance with crowding effects," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 581-609, April.
    7. James Alm, 2012. "Measuring, explaining, and controlling tax evasion: lessons from theory, experiments, and field studies," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(1), pages 54-77, February.
    8. 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.
    9. David C. Cicero, 2009. "The Manipulation of Executive Stock Option Exercise Strategies: Information Timing and Backdating," Journal of Finance, American Finance Association, vol. 64(6), pages 2627-2663, December.
    Full references (including those not matched with items on IDEAS)

    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 & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.
    2. Semjén, András, 2017. "Az adózói magatartás különféle magyarázatai [Various explanations for tax compliance]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 140-184.
    3. Pellizzari, Paolo & Rizzi, Dino, 2014. "Citizenship and power in an agent-based model of tax compliance with public expenditure," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 35-48.
    4. 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.
    5. Dino Rizzi, 2017. "Tax Evasion Indices and Profiles," Public Finance Review, , vol. 45(6), pages 771-791, November.
    6. 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).
    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. 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.
    9. 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.
    10. R.Kavita Rao & Suranjali Tandon, 2016. "Revisiting the Tax Compliance Problem using Prospect Theory," Working Papers id:11225, eSocialSciences.
    11. 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.
    12. 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.
    13. Martin Abraham & Kerstin Lorek & Friedemann Richter & Matthias Wrede, 2017. "Collusive tax evasion and social norms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(2), pages 179-197, April.
    14. Bazart, C. & Bonein, A., 2014. "Reciprocal relationships in tax compliance decisions," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 83-102.
    15. Guizhou Wang & Kjell Hausken, 2021. "Governmental Taxation of Households Choosing between a National Currency and a Cryptocurrency," Games, MDPI, vol. 12(2), pages 1-24, April.
    16. Hallsworth, Michael & List, John A. & Metcalfe, Robert D. & Vlaev, Ivo, 2017. "The behavioralist as tax collector: Using natural field experiments to enhance tax compliance," Journal of Public Economics, Elsevier, vol. 148(C), pages 14-31.
    17. Erlend E. Bø & Joel Slemrod & Thor O. Thoresen, 2015. "Taxes on the Internet: Deterrence Effects of Public Disclosure," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 36-62, February.
    18. James Alm & Kim M. Bloomquist & Michael McKee, 2017. "When You Know Your Neighbour Pays Taxes: Information, Peer Effects and Tax Compliance," Fiscal Studies, Institute for Fiscal Studies, vol. 38, pages 587-613, December.
    19. Nordblom, Katarina & Zamac, Jovan, 2011. "Endogenous Norm Formation Over the Life Cycle – The Case of Tax Evasion," Working Paper Series, Center for Fiscal Studies 2011:10, Uppsala University, Department of Economics.
    20. Mathieu Lefebvre & Pierre Pestieau & Arno Riedl & Marie Villeval, 2015. "Tax evasion and social information: an experiment in Belgium, France, and the Netherlands," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(3), pages 401-425, June.

    More about this item

    Keywords

    tax avoidance; tax evasion; epidemiology; contagion; SIS-model; SIR-model; n-grams;
    All these keywords.

    JEL classification:

    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • K34 - Law and Economics - - Other Substantive Areas of Law - - - Tax Law

    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:zbw:arqudp:268. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.arqus.info/ .

    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.