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Title: Returns to Education for Self-Employed US Millennials and the Self-Employment Gender Earnings Gap: A Quantile Regression Approach
Resulting in 1 citation.
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Simon, Jessica Way, Megan McDonald |
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Returns to Education for Self-Employed US Millennials and the Self-Employment Gender Earnings Gap: A Quantile Regression Approach Presented: Washington DC, Population Association of America Annual Meeting, March-April 2016 Cohort(s): NLSY97 Publisher: Population Association of America Keyword(s): Educational Returns; Gender Differences; Modeling, OLS; Self-Employed Workers; Wage Gap Permission to reprint the abstract has not been received from the publisher. Self-employed women, though more highly educated than self-employed men, earn approximately 75% of male counterparts' earnings on an hourly basis. Could differing returns to education for self-employed men and women explain some of this gap? We examine economic returns to education for the most highly educated working generation, the Millennials, considering both human capital and signaling theory. Using the National Longitudinal Survey of Youth 1997 cohort, we apply OLS and quantile regression to samples of both wage-employed and self-employed Millennial women and men. We find that, generally, returns to education do not differ between self-employed and wage-employed, or between male and female self-employed in this age group, suggesting that women would be experiencing an even higher gender wage gap without their educational edge over men. We also find some differences in returns to education along the income distribution, which may indicate a breakdown of signaling theory when applied to self-employment. |
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Bibliography Citation
Simon, Jessica and Megan McDonald Way. "Returns to Education for Self-Employed US Millennials and the Self-Employment Gender Earnings Gap: A Quantile Regression Approach." Presented: Washington DC, Population Association of America Annual Meeting, March-April 2016. |