Link to journal - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470569/
Women have been known to earn far much less than men in the US labor market. There are a lot of studies that try to investigate this phenomenon seeking to clarify the cause of this. However, there are a lot of other factors that contribute to the wage disparity. Such factors include race, religion, disabilities, and ethnicity among several others. Many studies do not consider these other factors when studying the cause of discrepancies between gender pay. Such factors need to be held constant. The biggest determinants of wage discrepancies in the US are gender and race. If the latter is held constant, then we can get a more accurate picture of how the former affects wage disparity. The study above focuses on gender wage disparities among individuals that are highly educated. The study does a good job in stratifying the highly educated individuals into their respective races since race has been known to be a determinant in the amount of pay individuals receive.
The study utilizes non-parametric matching analysis instead of a normal linear regression which most studies apply. The analysis indicates that high degrees and majors, being a pre-market standard, accounts for between 44 and 73 percent of the gender wage difference. The study then goes on to limit the individuals that are considered in it to women who have more experience and high labor force attachment and then compares them to their fellow men. The nonparametric approach indicates that higher education accounts for 54 to 99 percent of wage disparity for this group. The study also does a parametric approach analysis in order to match its results to those of other studies. Data was obtained from the National Survey of College Graduates since it has detailed information about higher level education.
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