IDEAS home Printed from https://ideas.repec.org/a/jid/journl/y1997v06i1p6-6.html
   My bibliography  Save this article

A Systematic Approach to the Generation of Income Distribution Models

Author

Listed:
  • Camilo Dagum

Abstract

Since Pareto specified in 1895 his Type I model, scores of income distribution models have been proposed. In this study, almost all of these models are organized in three generating systems. The foundations of these system specifications and the basic properties that probability distribution functions should fulfill to be entertained as income distribution models are presented and analyzed. Their main scope is to guide the researchers to the choice of an appropriate and robust model to describe observed income distributions in different epochs and countries with different state of socioeconomic development, and according to several socioeconomic attributes of the observed populations.

Suggested Citation

  • Camilo Dagum, 1997. "A Systematic Approach to the Generation of Income Distribution Models," Journal of Income Distribution, Ad libros publications inc., vol. 6(1), pages 6-6, June.
    • Handle: RePEc:jid:journl:y:1997:v:06:i:1:p:6-6
    as

    Download full text from publisher

    File URL: http://jid.journals.yorku.ca/index.php/jid/article/view/675
    Download Restriction: Some fulltext downloads are only available to subscribers. See JID website for details.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Predrag R. Jelenković & Jian Tan, 2010. "Modulated Branching Processes, Origins of Power Laws, and Queueing Duality," Mathematics of Operations Research, INFORMS, vol. 35(4), pages 807-829, November.
    2. Diana Bílková, 2015. "What is About Wages in the Czech Education and Healthcare Sectors Before, during and after the Global Economic Recession?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(1), pages 58-72, January.
    3. Diana Bílková, 2016. "Vliv délky praxe na výši mezd zaměstnanců v České republice od počátku hospodářské recese v roce 2009 [Influence of Length of Practice on Wages of Employees in the Czech Republic in the Period from," Politická ekonomie, Prague University of Economics and Business, vol. 2016(6), pages 674-694.
    4. Nartikoev, Alan & Peresetsky, Anatoly, 2019. "Modeling the dynamics of income distribution in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 105-125.

    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:jid:journl:y:1997:v:06:i:1:p:6-6. 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: Timm Boenke (email available below). General contact details of provider: https://edirc.repec.org/data/gyorkca.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.