Thank you. I looked over it and here are some bullet points from the study.

• The differences in the distribution of males and females across occupational categories appear to explain much of the pay gap.

• The regression and decomposition analysis shows that the unexplained portion of the pay gap in 2012 was 30 percent of the total pay gap for All White Collar and 33 percent of the total pay gap for the GS (less than 4 percentage points). (This unexplained portion could be attributable to factors that may or may not be discriminatory that were not accounted for in our analysis (e.g., non-Federal work experience, personal obligations).)

• The pay gap was smaller in younger age groups. Pay gaps at different ages may reflect the differences in occupational distribution at those ages.

• When we examined pay gaps by grade level for the GS population, we found that there was no significant gap between female and male salaries. However, more females were found in lower grades, which may be a reflection of differences in occupational distribution.

• When we analyzed White Collar starting salaries for the 37 more specific occupational categories in 2012, we found that female starting salaries exceeded male starting salaries for 14 categories and were within 5 percent of male starting salaries for another 12 categories. Only 4 categories had pay gaps of more than 10 percent (no more than 12 percent). Differences in occupational distribution between males and females appear to explain much of the overall starting salary pay gap. When we examined GS starting salaries by GS grade level, we found that male and female average starting salaries were quite close in all three years.