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Removing The “Veil Of Ignorance”: Nonlinearities In Education Effects On Gender Wage Inequalities

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  • Sandeep Mohapatra
  • Bruno Wichmann
  • Philippe Marcoul

Abstract

A large literature studies the mean gender wage gap in developing countries and finds mixed evidence about the role of education policies in closing gender earnings inequalities. We contribute to this literature by exploring two types of nonlinearities in wage earning regressions: (1) nonlinearities on the effects of education on expected earnings along the distribution of education endowments; and (2) heterogeneities on the contributions of education to the gender wage gap at different quantiles of the wage distribution. Our analyses provide new insights on how these nonlinear effects can be used to set up better targeted gender and development policies. (JEL I26, C14)

Suggested Citation

  • Sandeep Mohapatra & Bruno Wichmann & Philippe Marcoul, 2018. "Removing The “Veil Of Ignorance”: Nonlinearities In Education Effects On Gender Wage Inequalities," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 644-666, October.
    • Handle: RePEc:bla:coecpo:v:36:y:2018:i:4:p:644-666
    DOI: 10.1111/coep.12265
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    More about this item

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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