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


Author Info

  • Florian Chavez Juarez

    (University of Geneva)

  • Isidro Soloaga


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.

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Bibliographic Info

Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457442.

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Programming language: Stata
Requires: Stata version 9.2
Date of creation: 17 Apr 2012
Date of revision: 03 Mar 2014
Handle: RePEc:boc:bocode:s457442

Note: This module should be installed from within Stata by typing "ssc install iop". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
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Related research

Keywords: inequality of opportunity; mean log deviation; dissimilarity index;


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