RELDIST: Stata module for relative distribution analysis

Ben Jann

Statistical Software Components from Boston College Department of Economics

Abstract: reldist estimates and analyzes the relative distribution of outcomes between two groups (two-sample relative distribution) or between two variables (paired relative distribution). The relative distribution is the distribution of the relative ranks that the outcomes from one distribution take on in the other distribution. An example would be the relative positions that female wages take on in the distribution of male wages. reldist can be used to estimate and plot the relative density function (relative PDF), a histogram of the relative distribution, or the relative distribution function (relative CDF). Furthermore, it computes relative polarization indices as well as descriptive statistics of the relative data, and supports the decomposition of the relative distribution by adjusting for location, scale, and shape differences or for differences in covariate distributions.

Language: Stata
Requires: Stata version 12, moremata from SSC (q.v.)
Keywords: relative distribution; relative density; median relative polarization; reweighting (search for similar items in EconPapers)
Date: 2020-05-02, Revised 2022-12-06
Note: This module should be installed from within Stata by typing "ssc install reldist". 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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/reldist.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/reldist_svyr.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/reldist.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/reldist.zip zip file of package (application/zip)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458775

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().