Professional Gender Gaps Across US Cities
Abstract
Gender imbalances in work environments have been a long-standing concern. Identifying the existence of such imbalances is key to designing policies to help overcome them. In this work, we study gender trends in employment across various dimensions in the United States. This is done by analyzing anonymous, aggregate statistics that were extracted from LinkedIn's advertising platform. The data contain the number of male and female LinkedIn users with respect to (i) location, (ii) age, (iii) industry and (iv) certain skills. We studied which of these categories correlate the most with high relative male or female presence on LinkedIn. In addition to examining the summary statistics of the LinkedIn data, we model the gender balance as a function of the different employee features using linear regression. Our results suggest that the gender gap varies across all feature types, but the differences are most profound among industries and skills. A high correlation between gender ratios of people in our LinkedIn data set and data provided by the US Bureau of Labor Statistics serves as external validation for our results.
Cite
@article{arxiv.1801.09429,
title = {Professional Gender Gaps Across US Cities},
author = {Karri Haranko and Emilio Zagheni and Kiran Garimella and Ingmar Weber},
journal= {arXiv preprint arXiv:1801.09429},
year = {2018}
}
Comments
Accepted at a poster at ICWSM 2018. Please cite the ICWSM version