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

Author

Listed:
  • Florian Chavez Juarez

    (University of Geneva)

  • Isidro Soloaga

Programming Language

Stata

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.

Suggested Citation

  • Florian Chavez Juarez & Isidro Soloaga, 2012. "IOP: Stata module to to compute different measures of inequality of opportunity for dichotomous, ordered and continuous outcome variables," Statistical Software Components S457442, Boston College Department of Economics, revised 21 Dec 2015.
    • Handle: RePEc:boc:bocode:s457442
    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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    File URL: http://fmwww.bc.edu/repec/bocode/i/iop.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/i/iop.hlp
    File Function: help file
    Download Restriction: no
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    Cited by:

    1. Fotso Koyeu, Fourier Prevost & Ningaye, Paul & Talla Fokam, Dieu Ne Dort, 2019. "How Does Inequality of Opportunities Affect the Distribution of Economic Wellbeing in Cameroon," MPRA Paper 92556, University Library of Munich, Germany.

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