IDEAS home Printed from https://ideas.repec.org/p/boc/dsug08/01.html
   My bibliography  Save this paper

Relative distribution methods in Stata

Author

Listed:
  • Ben Jann

    (ETH Zurich)

Abstract

The concept of the relative density seems like a fruitful nonparametric approach to studying distributional differences between groups (Handcock and Morris 1999), yet it appears that the technique has gone more or less unnoticed in applied social science research. A scarcity of canned software might be one of the reasons the method is underutilized. Therefore, I present a new Stata command called reldist to plot the relative density, decompose distributional differences into location and shape effects, and compute relative distribution summary measures. The command is illustrated by an application comparing earnings by sex.

Suggested Citation

  • Ben Jann, 2008. "Relative distribution methods in Stata," German Stata Users' Group Meetings 2008 01, Stata Users Group.
  • Handle: RePEc:boc:dsug08:01
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/dsug2008/jann_reldist_berlin08.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ilaria Petrarca & Roberto Ricciuti, 2015. "Relative income distribution in six European countries: market and disposable income," LIS Working papers 629, LIS Cross-National Data Center in Luxembourg.
    2. João Sousa Andrade & Adelaide Duarte & Marta Simões, 2010. "The impact of EU integration on the Portuguese distribution of employees’ earnings," GEMF Working Papers 2010-08, GEMF, Faculty of Economics, University of Coimbra.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:boc:dsug08:01. 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/stataea.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.