IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1410.3811.html
   My bibliography  Save this paper

Applications of statistical physics distributions to several types of income

Author

Listed:
  • Elvis Oltean
  • Fedor V. Kusmartsev

Abstract

This paper explores several types of income which have not been explored so far by authors who tackled income and wealth distribution using Statistical Physics. The main types of income we plan to analyze are income before redistribution (or gross income), income of retired people (or pensions), and income of active people (mostly wages). The distributions used to analyze income distributions are Fermi-Dirac distribution and polynomial distribution (as this is present in describing the behavior of dynamic systems in certain aspects). The data we utilize for our analysis are from France and the UK. We find that both distributions are robust in describing these varieties of income. The main finding we consider to be the applicability of these distributions to pensions, which are not regulated entirely by market mechanisms.

Suggested Citation

  • Elvis Oltean & Fedor V. Kusmartsev, 2014. "Applications of statistical physics distributions to several types of income," Papers 1410.3811, arXiv.org, revised Mar 2016.
    • Handle: RePEc:arx:papers:1410.3811
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1410.3811
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elvis Oltean & Fedor V. Kusmartsev, 2013. "A Polynomial Distribution Applied to Income and Wealth Distribution," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 3(4), pages 1-2, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Elvis Oltean & Fedor Kusmartsev, 2014. "An Econophysical dynamical approach of expenditure and income distribution in the UK," Papers 1410.3851, arXiv.org, revised Mar 2016.
    2. Elvis Oltean & Fedor Kusmartsev, 2014. "A statistical physics analysis of expenditure in the UK," Papers 1410.3865, arXiv.org, revised Mar 2016.
    3. Elvis Oltean, 2016. "Modelling income, wealth, and expenditure data by use of Econophysics," Papers 1603.08383, arXiv.org.
    4. Elvis Oltean, 2014. "An econophysical approach of polynomial distribution applied to income and expenditure," Papers 1410.3860, arXiv.org, revised Mar 2016.

    More about this item

    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:arx:papers:1410.3811. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.