IDEAS home Printed from https://ideas.repec.org/p/arx/papers/cond-mat-0307270.html
   My bibliography  Save this paper

The mean-field approximation model of company's income growth

Author

Listed:
  • Takayuki Mizuno
  • Misako Takayasu
  • Hideki Takayasu

Abstract

We introduce a mean-field type approximation for description of company's income statistics. Utilizing huge company data we show that a discrete version of Langevin equation with additive and multiplicative noises can appropriately describe the time evolution of a company's income fluctuation in statistical sense. The Zipf's law of income distribution is shown to be hold in a steady-sate widely, and country-dependence of income distribution can also be nicely implemented in our numerical simulation.

Suggested Citation

  • Takayuki Mizuno & Misako Takayasu & Hideki Takayasu, 2003. "The mean-field approximation model of company's income growth," Papers cond-mat/0307270, arXiv.org, revised Aug 2003.
    • Handle: RePEc:arx:papers:cond-mat/0307270
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/cond-mat/0307270
    File Function: Latest version
    Download Restriction: no
    ---><---

    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:cond-mat/0307270. 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: 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.