IDEAS home Printed from https://ideas.repec.org/p/hhs/nhheco/2019_016.html
   My bibliography  Save this paper

The impact of international tax information exchange agreements on the use of tax amnesty: evidence from Norway

Author

Listed:
  • Andersson, Jonas

    () (Dept of Business and Management Science NHH and NoCeT)

  • Schroyen, Fred

    () (Dept. of Economics, Norwegian School of Economics and Business Administration)

  • Torsvik, Gaute

    () (University of Oslo, Dept of Economics and OFS)

Abstract

In this paper we develop a model for tax amnesty applications in a multi-period setting. One key insight from the model is that applying for amnesty becomes more attractive at the moment when stricter enforcement is announced, even if the implementation of the policy is in the distant future. We use our model to make sense of how international tax information exchange agreements affects voluntary disclosure of wealth and income previously hidden in tax havens. Our data is from Norway. In accordance with the dynamic amnesty model we observe a strong announcement effect of a tax information exchange agreement between Norway and Switzerland and Luxembourg, the two most important tax havens for Norwegian tax evaders. However, the effect levels off very quickly, much faster than our model predicts. We think this is because the initial announcement of the tax agreement exaggerated the risk the agreement imposed to those who had hidden taxable income and wealth in Switzerland. We also estimate and find significant effects of the press releases the Norwegian Tax Authority issues to inform taxpayers about new international tax agreements and the amnesty, or voluntary disclosure, option that exists in the Norwegian tax code.

Suggested Citation

  • Andersson, Jonas & Schroyen, Fred & Torsvik, Gaute, 2019. "The impact of international tax information exchange agreements on the use of tax amnesty: evidence from Norway," Discussion Paper Series in Economics 16/2019, Norwegian School of Economics, Department of Economics.
  • Handle: RePEc:hhs:nhheco:2019_016
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11250/2619961
    File Function: Full text
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michelle Hanlon & Edward L. Maydew & Jacob R. Thornock, 2015. "Taking the Long Way Home: U.S. Tax Evasion and Offshore Investments in U.S. Equity and Debt Markets," Journal of Finance, American Finance Association, vol. 70(1), pages 257-287, February.
    2. Niels Johannesen & Gabriel Zucman, 2014. "The End of Bank Secrecy? An Evaluation of the G20 Tax Haven Crackdown," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 65-91, February.
    3. Andreoni, James, 1991. "The desirability of a permanent tax amnesty," Journal of Public Economics, Elsevier, vol. 45(2), pages 143-159, July.
    4. Langenmayr, Dominika, 2017. "Voluntary disclosure of evaded taxes — Increasing revenue, or increasing incentives to evade?," Journal of Public Economics, Elsevier, vol. 151(C), pages 110-125.
    5. Michael Keen & Jenny Ligthart, 2006. "Information Sharing and International Taxation: A Primer," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 13(1), pages 81-110, January.
    6. Hoang Ha Nguyen Thi & Till Nikolka, 2016. "The Development of Tax Transparency in OECD Countries," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(4), pages 85-89, December.
    7. Blundell, Richard & Francesconi, Marco & van der Klaauw, Wilbert, 2011. "Anatomy of Welfare Reform Evaluation: Announcement and Implementation Effects," IZA Discussion Papers 6050, Institute of Labor Economics (IZA).
    8. repec:ces:ifodic:v:14:y:2016:i:4:p:19267798 is not listed on IDEAS
    9. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    10. 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.
    11. Zeileis, Achim, 2006. "Object-oriented Computation of Sandwich Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(i09).
    12. repec:ces:ifodic:v:14:y:2016:i:04:p:85-89 is not listed on IDEAS
    13. Langenmayr, Dominika, 2017. "Voluntary disclosure of evaded taxes — Increasing revenue, or increasing incentives to evade?," Journal of Public Economics, Elsevier, vol. 151(C), pages 110-125.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Tax Evasion; Tax Amnesty; Tax Information Exchange Agreement;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • H27 - Public Economics - - Taxation, Subsidies, and Revenue - - - Other Sources of Revenue
    • 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:hhs:nhheco:2019_016. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Karen Reed-Larsen). General contact details of provider: http://edirc.repec.org/data/sonhhno.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.