<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Decomposition of (Income) Inequality</dc:title>
  <dc:title>R package dineq version 0.1.0</dc:title>
  <dc:description>Decomposition of (income) inequality by population sub groups. 
    For a decomposition on a single variable the mean log deviation can be used
      (see Mookherjee Shorrocks (1982) &lt;DOI:10.2307/2232673&gt;).
    For a decomposition on multiple variables a regression based technique can be 
      used (see Fields (2003) &lt;DOI:10.1016/s0147-9121(03)22001-x&gt;).
    Recentered influence function regression for marginal effects of the (income 
      or wealth) distribution  (see Firpo et al. (2009) &lt;DOI:10.3982/ECTA6822&gt;).
    Some extensions to inequality functions to handle weights and/or missings.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: boot (&gt;= 1.3-20), Hmisc (&gt;= 4.0-3)</dc:relation>
  <dc:creator>René Schulenberg &lt;reneschulenberg@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>René Schulenberg </dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2018-06-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=dineq</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.dineq</dc:identifier>
</oai_dc:dc>
