Assessing the Influence of Gender on Unemployment: A Panel Data Approach Skip to main content
Utah's Foremost Platform for Undergraduate Research Presentation
2014 Abstracts

Assessing the Influence of Gender on Unemployment: A Panel Data Approach

Melanie Long, Westminster College

Social and Behavioral Sciences

While differences in hourly earnings between men and women have frequently been investigated in gender economics, the gender gap in unemployment rates has received less attention. According to much of the existing research, the reduction in the unemployment rate differential between the genders over the past 30 years indicates that gender no longer plays a significant role in employment outcomes. This regression analysis evaluated that claim using microeconomic data from the Bureau of Labor Statistic’s National Longitudinal Survey of Youth. Panel data regressions were conducted to establish whether women are subject to more weeks of unemployment in a year than men and whether this difference represents the influence of direct and indirect (i.e., societal) gender discrimination. After accounting for women’s decisions to drop out of the labor force, the regression output indicates that direct gender discrimination against women may no longer play a significant role in employment outcomes. However, there is evidence that societal pressures continue to encourage women to quit work in response to unemployment more readily than men. These findings speak to the complex gender dynamics that persist in the American labor market despite measures to ensure equal employment opportunities and suggest that unemployment rates alone are insufficient to fully understand those dynamics.