IDEAS home Printed from https://ideas.repec.org/a/pfq/journl/v66y2021i3p337-358.html
   My bibliography  Save this article

Missed Opportunities of Simplification Regarding Personal Income Tax Systems in Hungary

Author

Listed:
  • Szabóné Bonifert, Éva

Abstract

The paper investigates – considering also the simplified basic elements of the current system – the possibilities of simplifying the Hungarian personal income tax system’s composition in the previous years, while tax burden curves of the system change as little as possible. Tax burden curves of the theoretical, simplified tax model established for this investigation are fitted to the curves of the real tax system, while the parameters of the theoretical model are determined by a computer program. Since the modern Hungarian income taxation had been introduced, the system has long been subject to a wide variety of changes concerning the basic elements examined in the study. Selecting some of these years of changes, the study analyses the possibilities for simplification in order to ask the question again: whether it is necessary to maintain complex tax systems at all costs, possibly in favour of achieving the most equitable income tax system. The results of the investigation indicate that our simpler theoretical system could have replaced with a good approximation the elements of Hungarian tax systems of previous years with multi-bracket and sometimes complicated tax credit, which even applied more tax benefit elements compared to the theoretical system. On this basis, it may be an important aspect also for the more distant future that in the course of developing personal income tax systems, the sophisticated equity of the systems should be observed through the mathematical spectacles of simplification options.

Suggested Citation

  • Szabóné Bonifert, Éva, 2021. "Missed Opportunities of Simplification Regarding Personal Income Tax Systems in Hungary," Public Finance Quarterly, Corvinus University of Budapest, vol. 66(3), pages 337-358.
  • Handle: RePEc:pfq:journl:v:66:y:2021:i:3:p:337-358
    DOI: https://doi.org/10.35551/PFQ_2021_3_2
    as

    Download full text from publisher

    File URL: https://unipub.lib.uni-corvinus.hu/8610/
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.35551/PFQ_2021_3_2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    optimal taxation; tax burden curve; personal tax system; simulation systems;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • K34 - Law and Economics - - Other Substantive Areas of Law - - - Tax Law

    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:pfq:journl:v:66:y:2021:i:3:p:337-358. 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: Adam Hoffmann (email available below). General contact details of provider: https://edirc.repec.org/data/bkeeehu.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.