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Matching as a tool to decompose wage gaps
by
Ñopo, Hugo
in
Contrafactuals
/ Earnings
/ econometric models
/ Educational attainment
/ Equal pay
/ equations
/ estimation
/ Estimators
/ Gender
/ Gender differences
/ Gender wage gap
/ Income inequality
/ Labor economics
/ Labor markets
/ Linear regression
/ Marital status
/ men
/ methodology
/ migrant workers
/ Parameter estimation
/ Peru
/ regression analysis
/ Studies
/ surveys
/ Wage differential
/ Wages & salaries
/ wages and remuneration
/ women
/ Womens studies
2008
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Matching as a tool to decompose wage gaps
by
Ñopo, Hugo
in
Contrafactuals
/ Earnings
/ econometric models
/ Educational attainment
/ Equal pay
/ equations
/ estimation
/ Estimators
/ Gender
/ Gender differences
/ Gender wage gap
/ Income inequality
/ Labor economics
/ Labor markets
/ Linear regression
/ Marital status
/ men
/ methodology
/ migrant workers
/ Parameter estimation
/ Peru
/ regression analysis
/ Studies
/ surveys
/ Wage differential
/ Wages & salaries
/ wages and remuneration
/ women
/ Womens studies
2008
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Do you wish to request the book?
Matching as a tool to decompose wage gaps
by
Ñopo, Hugo
in
Contrafactuals
/ Earnings
/ econometric models
/ Educational attainment
/ Equal pay
/ equations
/ estimation
/ Estimators
/ Gender
/ Gender differences
/ Gender wage gap
/ Income inequality
/ Labor economics
/ Labor markets
/ Linear regression
/ Marital status
/ men
/ methodology
/ migrant workers
/ Parameter estimation
/ Peru
/ regression analysis
/ Studies
/ surveys
/ Wage differential
/ Wages & salaries
/ wages and remuneration
/ women
/ Womens studies
2008
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Journal Article
Matching as a tool to decompose wage gaps
2008
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Overview
This paper presents a methodology that uses matching comparisons to explain gender wage differences. The approach emphasizes gender differences in the supports of the distributions of observable characteristics and provides insights into the distribution of unexplained gender pay differences. This nonparametric alternative to the Blinder-Oaxaca (BO) decomposition does not require the estimation of earnings equations and divides the gap into four additive elements. Two of these are analogous to the elements of the BO decomposition (but computed only over the common support of the distributions of characteristics), while the other two account for differences in the supports.
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