[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/liu/liucej/v3y2006i1p31-49.html
   My bibliography  Save this article

A Tax Evasion - Bribery Game: Experimental Evidence from Ukraine

Author

Listed:
  • Volodymyr Bilotkach
Abstract
This paper examines the issue of tax evasion by enterprises through underreporting activity. We develop a view of this phenomenon as an equilibrium of the game between a businessman and an imperfectly monitored supervising official, in which a businessman can hide part of his profit and offer bribe to official. We determine conditions under which such tax evasion and bribery become wide-spread in the society, resulting in shadow economy. The game is put into an experimental setting in Kiev, Ukraine, with the emphasis of spreading of the tax evasion and bribery activity in the laboratory setting. We find that once it becomes known that substantial share of subjects playing the role of supervising officials agree to accept bribes from subjects playing the role of businessmen, the latter offer bribes more aggressively. Yet, this in turn does not affect the behavior of subjects playing the role of supervising officials.

Suggested Citation

  • Volodymyr Bilotkach, 2006. "A Tax Evasion - Bribery Game: Experimental Evidence from Ukraine," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 3(1), pages 31-49, June.
  • Handle: RePEc:liu:liucej:v:3:y:2006:i:1:p:31-49
    as

    Download full text from publisher

    File URL: https://ejce.liuc.it/18242979200601/182429792006030103.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mannan, Kazi Abdul & Farhana, Khandaker Mursheda & Chowdhury, G. M. Omar Faruque, 2021. "Social Network and Tax Evasion: Theoretical Model and Empirical Evidence in Bangladesh," MPRA Paper 108279, University Library of Munich, Germany, revised 2021.
    2. Iskandar, Deden Dinar & Wuenscher, Tobias & Badhuri, Anik, 2012. "The Determinants of Compliance on Environmental Tax: The Insights of Theoretical and Experimental Approaches Motivated by the Case of Indonesia," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134977, Agricultural Economics Society.
    3. Sokolovskyi, Dmytro & Sokolovska, Olena, 2016. "Tax burden optimization on economic agents by modeling interaction in the taxation system," MPRA Paper 71110, University Library of Munich, Germany, revised 05 May 2016.
    4. Iskandar, Deden Dinar & Wuenscher, Tobias, 2012. "Finding the Stronger Impact among Bribery, Financial Reward, and Religious Attitude: The Insights of Experiment on Environmental Tax Compliance in Indonesia," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124316, Australian Agricultural and Resource Economics Society.
    5. Diego Escobari, 2012. "Imperfect Detection of Tax Evasion in a Corrupt Tax Administration," Public Organization Review, Springer, vol. 12(4), pages 317-330, December.
    6. James E. Payne & James W. Saunoris, 2020. "Corruption and Firm Tax Evasion in Transition Economies: Results from Censored Quantile Instrumental Variables Estimation," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(2), pages 195-206, June.
    7. Nina Bobkova & Henrik Egbert, 2012. "Corruption Investigated in the Lab: A Survey of the Experimental Literature," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 2(4), pages 337-337.
    8. David Joulfaian, 2009. "Bribes and Business Tax Evasion," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 6(2), pages 227-244, December.
    9. Abigail Barr & Danila Serra, 2009. "The effects of externalities and framing on bribery in a petty corruption experiment," Experimental Economics, Springer;Economic Science Association, vol. 12(4), pages 488-503, December.

    More about this item

    Keywords

    Tax Evasion; Bribery; Experiment; Learning in Games;
    All these keywords.

    JEL classification:

    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

    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:liu:liucej:v:3:y:2006:i:1:p:31-49. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Laura Ballestra (email available below). General contact details of provider: https://edirc.repec.org/data/liuccit.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.