In testing for the causal mechanism by which gender segregation facilitates information exchange in high-skill finance and tech service sectors, I use retail trade as a counterfactual case where gender segregation would not operate through similar means to impact economic change. Standard errors clustered by labor market, reported in parentheses.
Ethnic diversity and economic performance. Additionally, economists and urban scholars have increasingly focused on local labor markets as crucial centers of economic growth [ 21 — 29 ].
Complex inequality: Gender, class and race in the new economy. Census data. Economists have long argued that the sharing of ideas and information facilitates economic innovation and growth [ 232730 — 36 ]. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance.
The second and third columns in Table 2 test Hypothesis 1 regarding the relationship between occupational gender segregation and the expansion of FIRE and tech sectors.
To account for these factors, I used retail trade as a counterfactual case that would be affected by similar confounding variables as FIRE and tech, but should not be influenced in the same way by occupational gender segregation since retail trade relies less heavily on innovation and information. Attachment: Submitted filename: Response to Reviewers.
A more gender-integrated labor force where women and men work alongside each other in the same occupations, meanwhile, takes advantage of the fact that women and men have diverse experiences and ideas by virtue of their different structural locations in society.
My results shed light on the economic costs of occupational gender segregation.
The author did not have any special access privileges that others would not have in obtaining data. To account for these factors, I used retail trade as a counterfactual case that would be affected by similar confounding variables as FIRE and tech, but should not be influenced in the same way by occupational gender segregation since retail trade relies less heavily on innovation and information.
Each pair of models first tests the direct effects of occupational gender segregation on wage growth before exploring whether occupational gender segregation moderates the relationship of industry growth to wages. This provides a suitable set-up for subsequent models that more directly test the industry-specific hypotheses using independent equations that control for the varying effects of control variables and focus on the effects of occupational gender segregation in FIRE, tech, and retail trade.