IOP: Stata module to to compute different measures of inequality of opportunity for dichotomous, ordered and continuous outcome variables

Florian Wendelspiess Chávez Juárez () and Isidro Soloaga

Statistical Software Components from Boston College Department of Economics

Abstract: This routine implements different methodologies to compute ex-ante inequality of opportunity for binary, ordered and continuous variables. For binary and ordered variables the method proposed by Paes de Barros et al (2008) and a modification introduced by Wendelspiess Chávez Juárez & Soloaga (2013) are computed. For continuous variables the two approaches by Ferreira & Gignoux (2011, 2011b) are implemented. Additionally, iop allows you to compute the decomposition of the inequality of opportunity measures by groups (Oaxaca-like approach) and by explanatory factors (shapley like decomposition). IOP allows you to use fweights and iweights.

Language: Stata
Requires: Stata version 9.2
Keywords: inequality of opportunity; mean log deviation; dissimilarity index (search for similar items in EconPapers)
Date: 2012-04-17, Revised 2015-12-21
Note: This module should be installed from within Stata by typing "ssc install iop". 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.
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Citations: View citations in EconPapers (1)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/i/iop.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/iop.hlp help file (text/plain)

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