IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v314y2002i1p743-748.html
   My bibliography  Save this article

A model for distribution of high-tax payers

Author

Listed:
  • Yamamoto, Keizo
  • Miyazima, Sasuke
  • Koshal, Rajindar K.
  • Yamada, Yuko

Abstract

We propose a model which induces power-law behavior in double logarithmic diagram of highest income against rank. This model is so simple that we can take more factors of complicated situations into our simulation. A good agreement with the combined data of CEO in Japan and US is obtained.

Suggested Citation

  • Yamamoto, Keizo & Miyazima, Sasuke & Koshal, Rajindar K. & Yamada, Yuko, 2002. "A model for distribution of high-tax payers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 743-748.
    • Handle: RePEc:eee:phsmap:v:314:y:2002:i:1:p:743-748
    DOI: 10.1016/S0378-4371(02)01171-8
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437102011718
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/S0378-4371(02)01171-8?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:phsmap:v:314:y:2002:i:1:p:743-748. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.