What Can We Learn about Labor Market Inequality from Text Data?

Friday, 11 July 2025: 11:00-12:45
Location: SJES008 (Faculty of Legal, Economic, and Social Sciences (JES))
RC28 Social Stratification (host committee)

Language: English

Labour market inequalities are a core topic of stratification research. More recently, due to the rapid development of web scraping, machine learning and large language modelling techniques, job advertisements and other text-based data became a rich source of information on labour market, occupations, jobs etc., and thus useful data to investigate inequality-related research questions.

This session calls for papers that use job ad or other text-based data to investigate various dimensions of labor market inequality, for instance in regards to different requirements for certain jobs, task heterogeneity in specific occupations or variation in offered returns and benefits for a certain task profile across different jobs. Contributions that focus on multiple dimensions of the occupation-job-task triad are of particular interest.

Session Organizer:
Judith OFFERHAUS, Federal Institute for Vocational Education and Training, Germany
Oral Presentations
What Transferable Skills Do Workers Need to Future-Proof Their Careers? a Dynamic Network Analysis of the Skills That Support Upward Mobility in a Changing Labor Market.
Marie LABUSSIÈRE
Disparities in AI-Related Tasks? Evidence from Job Ads in Germany
Kathrin EHMANN; Johanna BINNEWITT, Federal Insitute for Vocational Education and Training, Germany; Stefan WINNIGE, Federal Institute for Vocational Education and Training, Germany
Forms of Knowledge in the Dual Vocational Training Regulations and Their Effect on Employment Trajectories
Lea AHRENS, University Bamberg, Germany; Julia MÜLLER, Germany; Struck OLAF, University of Bamberg, Germany; Franziska GANESCH, University Bamberg, Germany
The Rise of Gender-Restricted Job Positions in China's Civil Service Exams: Trends and "Justifications"
Fangqi WEN, Ohio State University, USA; Man YAO; Siqi HAN, Hong Kong
Distributed Papers
Neither Classes, Nor Micro-Classes: The Occupational Composition of Cultural Strata
Maria SAFONOVA, Russian Federation; Mikhail SOKOLOV, University of Wisconsin-Madison, USA
Unpacking Gender Bias in Hiring: Insights from Japan's Synthetic Personality Inventory
Kohei TOYONAGA, Kindai University, Japan
A Life Course Approach to Income Inequality: Age-Graded Wage Returns of STEM Majors
Yue QU, the University of Hong Kong, Hong Kong
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