IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/64042.html
   My bibliography  Save this paper

The Effects Of Neighborhood On Tax Compliance Rates: Evidence From An Agent Based Model

Author

Listed:
  • Arslan, Mehmet Oğuz
  • İcan, Özgür

Abstract

This paper investigates the effects of neighborhood on tax compliance behavior of taxpayers based on an agent based tax compliance model To this aim it is attempted to find out different tax compliance patterns under different “penalty rate audit rate” combinations and for von Neumann neighborhood Moore neighborhood and no neighborhood schemes The findings throw into sharp relief that both von Neumann and Moore neighborhoods are reducing compliance behavior of taxpayers considerably The results of scenario runs put the case clearly Key Words: Tax Compliance Agent Based Modeling NetLogo Özet Bu çalışma bir birey tabanlı vergi uyum modeline dayalı olarak komşuluk etkilerinin mükelleflerin vergi uyum davranışına etkilerini araştırmaktadır Bu amaçla farklı “ceza oranı denetim oranı” kombinasyonlarında ve von Neumann komşuluğu ve Moore komşuluğu ile komşuluğun olmadığı durum için farklı vergi uyum örnekleri bulunmaya çalışılmıştır Bulgular açıkça ortaya koymaktadır ki von Neumann ve Moore komşuluklarının her ikisi de mükelleflerin uyum davranışını büyük ölçüde azaltmaktadır Senaryo çalıştırmaları bu durumu açıkça göstermektedir Anahtar Kelimeler: Vergi Uyumu Birey Tabanlı Modelleme NetLogo

Suggested Citation

  • Arslan, Mehmet Oğuz & İcan, Özgür, 2013. "The Effects Of Neighborhood On Tax Compliance Rates: Evidence From An Agent Based Model," MPRA Paper 64042, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:64042
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/64042/1/MPRA_paper_64042.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim Bloomquist, 2011. "Tax Compliance as an Evolutionary Coordination Game: An Agent-Based Approach," Public Finance Review, , vol. 39(1), pages 25-49, January.
    2. 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.
    3. Allingham, Michael G. & Sandmo, Agnar, 1972. "Income tax evasion: a theoretical analysis," Journal of Public Economics, Elsevier, vol. 1(3-4), pages 323-338, November.
    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. 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.
    2. 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.
    3. Pickhardt, Michael & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.
    4. 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.
    5. Antoci, Angelo & Russu, Paolo & Zarri, Luca, 2014. "Tax evasion in a behaviorally heterogeneous society: An evolutionary analysis," Economic Modelling, Elsevier, vol. 42(C), pages 106-115.
    6. 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.
    7. Simonovits, András & Vincze, János & Méder, Zsombor Zoltán, 2012. "Adómorál és adócsalás - társadalmi preferenciák és korlátozott racionalitás [Tax morale and tax system: social preferences and bounded rationality]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1086-1106.
    8. Eichfelder, Sebastian & Kegels, Chantal, 2014. "Compliance costs caused by agency action? Empirical evidence and implications for tax compliance," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 200-219.
    9. 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.
    10. Martin Dufwenberg & Katarina Nordblom, 2022. "Tax evasion with a conscience," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(1), pages 5-29, February.
    11. Feng Xiong & Shaojie Xiang & Peng Jin, 2019. "Study On Computational Experiments Of C2c Tax Compliance Based On Information Of Cybermediaries," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-29, March.
    12. 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.
    13. Emilian Dobrescu, 2016. "LINS Curve in Romanian Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(41), pages 136-136, February.
    14. 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).
    15. 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.
    16. Hashimzade, Nigar & Myles, Gareth D. & Rablen, Matthew D., 2016. "Predictive analytics and the targeting of audits," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 130-145.
    17. Nuno Trindade Magessi & Luis Antunes, 2015. "Risk Perception and Risk Attitude on a Tax Evasion Context," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(3), pages 127-149, September.
    18. James Alm & Carolyn J. Bourdeaux, 2013. "Applying Behavioral Economics to the Public Sector," Hacienda Pública Española / Review of Public Economics, IEF, vol. 206(3), pages 91-134, September.
    19. 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.
    20. Zsombor Z. Meder & Andras Simonovits & Janos Vincze, 2012. "Tax Morale and Tax Evasion: Social Preferences and Bounded Rationality," CERS-IE WORKING PAPERS 1203, Institute of Economics, Centre for Economic and Regional Studies.

    More about this item

    Keywords

    Tax Compliance; Agent-Based Modeling; NetLogo;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm

    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:pra:mprapa:64042. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.