IDEAS home Printed from https://ideas.repec.org/p/pst/wpaper/169.html

Decomposing the Gini and the Variation Coefficients by Income Sources and Income Recipients

Author

Listed:
  • Ilpo Suoniemi

Abstract

The Gini coefficient is not in general decomposable by population groups in terms of subgroup Ginis. On the other hand, there is an extensively used and well founded decomposition of the Gini by income sources. In this paper a decomposition of the Gini by population groups is proposed which is simple and intuitively appealing. Here the decomposition by sources is utilized by defining a set of indicator functions for a partition of the population, and representing income as the sum of synthetic income sources. The approach is extended by treating each income source separately to give a general decomposition table. The table for the Gini is compared with a similar table obtained for the (square of) variation coefficient. The table elements give first order approximations to the change in the value of the inequality measure which is due to a proportional change in the income source affecting all individuals in the relevant group. Empirical applications of the method are illustrated by examples using Finnish household data.

Suggested Citation

  • Ilpo Suoniemi, 2000. "Decomposing the Gini and the Variation Coefficients by Income Sources and Income Recipients," Working Papers 169, Työn ja talouden tutkimus LABORE, Labour Institute for Economic Research LABORE.
  • Handle: RePEc:pst:wpaper:169
    as

    Download full text from publisher

    File URL: https://labore.fi/wp-content/uploads/2000/10/Tyopapereita-169.pdf
    File Function: First version, 2000
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    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:pst:wpaper:169. 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: Aila Mustonen (email available below). General contact details of provider: https://edirc.repec.org/data/laborfi.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.