IDEAS home Printed from https://ideas.repec.org/a/aiy/jnljtr/v11y2025i1p100-120.html
   My bibliography  Save this article

Linear Transformation Method in the Formation of the Personal Income Tax Scale in Russia

Author

Listed:
  • Leisan A. Gafarova

Abstract

The purpose of the article is a mathematical justification of the quantitative values of the main parameters of the progressive income tax scale in Russian conditions, considering social and economic parameters. Based on the methods of regression analysis, the boundary of the non-taxable minimum of income tax is determined as the extremum of the polynomial function of the second degree of savings behavior of the population from income. The non-taxable minimum is determined by considering the median income of 78% of the average per capita income. Within the framework of this stage, cross section data were used for 85 constituent entities of the Russian Federation: the savings rate of the population and the average per capita income of the population. Our modified method of linear transformation, which considers differentiated taxation of income within separate tax intervals, allowed us to determine the income tax rates of the proposed tax scale. It is empirically confirmed that the proposed progressive income tax scale can provide significant social, economic and fiscal effects. The study showed that the proposed progressive scale has the greatest effect on regions with initially low parameters of socio-economic development. The rates of the progressive income tax scale substantiated in the study make it possible to ensure a reduction in the tax burden on low-income groups of the population, an increase in entrepreneurial and savings activity of the middle-income group of the population, and an increase in the role of high-income groups in the formation of the revenue side of the budget.

Suggested Citation

  • Leisan A. Gafarova, 2025. "Linear Transformation Method in the Formation of the Personal Income Tax Scale in Russia," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 11(1), pages 100-120.
  • Handle: RePEc:aiy:jnljtr:v:11:y:2025:i:1:p:100-120
    DOI: https://doi.org/10.15826/jtr.2025.11.1.194
    as

    Download full text from publisher

    File URL: https://taxreform.ru//fileadmin/user_upload/site_15907/2025/06-Gafarova.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.15826/jtr.2025.11.1.194?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

    personal income taxation; tax policy; living wage; state budget; income inequality; linear transformation method; regression analysis;
    All these keywords.

    JEL classification:

    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

    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:aiy:jnljtr:v:11:y:2025:i:1:p:100-120. 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: Natalia Starodubets (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.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.