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Several recent papers use the quantile regression decomposition method of Machado and Mata [Machado, J.A.F. and Mata, J. (2005).
Results of our regression decomposition indicated that marriage and family expectations and gender ideology worked in opposite directions for men and women.
Regression decomposition techniques appear appropriate in such situations.
Several regression decomposition approaches exist in the literature.
Our regression decomposition is similar to the method developed by Oaxaca (1973).
The linear regression decomposition approach can be implemented in Stata with commands decomp, decompose, and Oaxaca.
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Finally, regression decompositions of within inequality have confirmed that the main driver of inequality is not the same among ethnic groups.
Multivariable regression and post-regression decomposition provide ways of measuring and explaining the health score gap between men and women.
A post-regression decomposition based on Blinder-Oaxaca methods (15, 16) was performed in order to show the extent to which sex-based differences in outcomes were attributable to differences in sex distributions of socio-economic and demographic characteristics, and how much to other factors.
Section 4 presents this study's empirical regression and decomposition models and Section 5 discusses the regression results.
Regression and decomposition results also highlight the importance of controlling for pre-school cognitive skills in examining the gender test score gap.
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