The relationships between gender-based earnings disparity and gendered dimensions of human capital gains and labor market changes are quite complex. Some scholars have argued that gender bias improves the over economy of a country/society. Others, however, have argued otherwise, adding to the narrative that despite an overall positive role of educational/human capital gains by women, the benefits reaped by them is non-linear, often with declining premiums for educational progress. This research investigates gendered earnings disadvantage and (dis)parity across US counties by employing GIS-based maps, descriptive statistics, correlations and regression analyses wherein female earnings and female-versus-male earnings ratios are regressed against select explanatory variables representing educational attainments, gender-based work-status, and their occupational over/under-representation in the labor market. Five-years estimates data (2015-2019) from the NHGIS are used for computing location quotients for major occupation-types by gender and additional statistical analyses. Females with professional, Master's and doctoral degrees have improved earnings, even though gender parity is better for both genders among the less educated. Sadly, gender disparity in earnings is higher when male-versus-female ratio increases for those majoring in science/engineering, science and engineering-related and business degrees. Greater gender parity, however, is noted when more men major in Education-a sub-field largely deemed as feminine. This research calls for focused policy interventions toward encouraging more women in STEM and science/engineering disciplines, along with strategic programs to help attract more women into working full-time-one of the several ways toward bridging the earnings gap.
Keywords: Correlations and regression analyses; Gender-based earning disparity; Human capital gains; Labor market; Science & engineering related disciplines.
© The Author(s), under exclusive licence to Springer Nature B.V. 2022.