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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

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". Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    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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