Showing 1 - 10 of 10,873
-driven categorization of required skill words and construct gender associations of different skill categories using word embeddings. Next … observed gender wage gaps. We also find that large firms require a more extensive range of skills, implying that …
Persistent link: https://www.econbiz.de/10014428020
can impact gender diversity in the male-dominated technology sector, both overall and separately for labor supply and … demand. We find that the use of AI in recruitment changes the gender distribution of potential hires, in some cases more than … and demand. On the supply side, we observe that the use of AI reduces the gender gap in application completion rates …
Persistent link: https://www.econbiz.de/10014496439
This paper analyses gender differences in pay at the mean as well as along the wage distribution. Using data from the … German Socio-Economic Panel, we estimate the adjusted gender pay gap applying a machine learning method (post … wage distribution. This insight suggests that more exible specifications are needed to estimate gender differences in pay …
Persistent link: https://www.econbiz.de/10012156057
Gender inequality and discrimination still persist, even though the gender gap in the labor market has been gradually … decreasing. This study examines the effect of the #MeToo movement on judges’ gender gap in their vital labor market outcome … of a different gender after the movement. We find that female judges made more severe decisions post-movement, which …
Persistent link: https://www.econbiz.de/10014580749
impacts gender diversity in the male-dominated technology sector, both overall and separately for labor supply and demand. We … find that the use of AI in recruitment changes the gender distribution of potential hires, in some cases more than doubling … demand. On the supply side, we observe that the use of AI reduces the gender gap in application completion rates …
Persistent link: https://www.econbiz.de/10014259996
order to find gender differences in their research approach. We implement an unsupervised machine learning algorithm: the … structural topic model (STM), so as to incorporate gender document-level meta-data into a probabilistic text model. This …
Persistent link: https://www.econbiz.de/10013326888
In this paper, we compare two popular statistical learning techniques, logistic regression and random forest, with respect to their ability to classify jobseekers by their likelihood to become long-term unemployed. We study the performance of the two methods before the COVID-19 pandemic as well...
Persistent link: https://www.econbiz.de/10013191893
Persistent link: https://www.econbiz.de/10014299275
This paper addresses the awareness about the artificial intelligence across states in the United States. We uniquely create indices of Google internet search results for general AI awareness and about ChatGPT, normalizing alternatively by internet users and land area. An understanding of the...
Persistent link: https://www.econbiz.de/10014416101
illustrate our approach by estimating racial and gender earnings gaps in the 1915 Iowa State Census and intergenerational …
Persistent link: https://www.econbiz.de/10012934321