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REMOVING THE “VEIL OF IGNORANCE”: NONLINEARITIES IN EDUCATION EFFECTS ON GENDER WAGE INEQUALITIES
Author(s) -
Mohapatra Sandeep,
Wichmann Bruno,
Marcoul Philippe
Publication year - 2018
Publication title -
contemporary economic policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 49
eISSN - 1465-7287
pISSN - 1074-3529
DOI - 10.1111/coep.12265
Subject(s) - economics , earnings , wage , distribution (mathematics) , quantile , quantile regression , inequality , labour economics , demographic economics , econometrics , mathematical analysis , mathematics , accounting
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)