IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s366001.html
 

GEIVARS: Stata module to calculate Generalized Entropy inequality indices

Author

Listed:
  • Stephen P. Jenkins

    (London School of Economics)

Programming Language

Stata

Abstract

geivars estimates several inequality indices commonly used by economists, together with their asymptotic sampling variances. Unit record ('micro' level) data are required. The inequality indices estimated are members of the single parameter Generalized Entropy class GE(a) for a = -1, 0, 1, 2. The indices differ in their sensitivities to differences in different parts of the distribution. The more positive a is, the more sensitive GE(a) is to income differences at the top of the distribution; the more negative a is the more sensitive it is to differences at the bottom of the distribution. GE(0) is the mean logarithmic deviation, GE(1) is the Theil index, and GE(2) is half the square of the coefficient of variation. This version has been revised for Stata 7.0 compatibility.

Suggested Citation

  • Stephen P. Jenkins, 1999. "GEIVARS: Stata module to calculate Generalized Entropy inequality indices," Statistical Software Components S366001, Boston College Department of Economics, revised 05 Feb 2001.
    • Handle: RePEc:boc:bocode:s366001
    Note: This module may be installed from within Stata by typing "ssc install geivars". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/g/geivars.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/g/geivars.hlp
    File Function: help file
    Download Restriction: no
    ---><---

    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:boc:bocode:s366001. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.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.