IDEAS home Printed from https://ideas.repec.org/p/rnp/wpaper/w20220251.html
   My bibliography  Save this paper

Institutional Foundations and Peculiarities of the Classification of Income Inequality in Countries with a Raw Material Oriented Economy
[Институциональные Основы И Особенности Классификации Неравенства Доходов Стран С Сырьевой Ориентированностью Экономики]

Author

Listed:
  • Shapor, Maria (Шапор, Мария)

    (The Russian Presidential Academy of National Economy and Public Administration)

Abstract

In the presented work, various aspects and methods for conducting a quantitative assessment of the relationship between income inequality and the level of institutionalization of the country's economy are considered. As the main quantitative method for assessing income inequality, this study uses the regression analysis technique, as well as vector autoregressive models.

Suggested Citation

  • Shapor, Maria (Шапор, Мария), 2023. "Institutional Foundations and Peculiarities of the Classification of Income Inequality in Countries with a Raw Material Oriented Economy [Институциональные Основы И Особенности Классификации Нераве," Working Papers w20220251, Russian Presidential Academy of National Economy and Public Administration.
    • Handle: RePEc:rnp:wpaper:w20220251
    as

    Download full text from publisher

    File URL: https://repec.ranepa.ru/rnp/wpaper/w20220251.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    income inequality; economic growth rates; welfare level; poverty line; quantitative assessment of the relationship between inequality and economic growth; resource rent;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:rnp:wpaper:w20220251. 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: RANEPA maintainer (email available below). General contact details of provider: https://edirc.repec.org/data/aneeeru.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.