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363-1159-00L 3 Credits MSC D-MTEC

The Economics of Work, Wages, and Discrimination

VVZ CR n/a

Last Updated: 2026-06-03 00:07:51

Abstract

In this lecture, you learn how modern labor markets function and change through data-driven insights. Topics include labor supply and demand, minimum wages, unemployment, wage inequality between men and women, discrimination, and the labor market effects of digital technologies. Students also engage with modern data science tools to uncover causal relationships in labor markets.

Objective

After taking this course, students will be able to - analyze the behavior of actors in the labor market within the conceptual framework of economic theory. - explain phenomena such as unemployment, wage inequality, labor market discrimination, and labor market imperfections. - understand how digital technologies such as generative artificial intelligence affect the labor market. - comment on policy-relevant issues such as minimum wages, a universal basic income, and unemployment insurance. - comprehend the results of the relevant empirical studies on these issues. - understand the challenges associated with a causal identification of research questions in labor market research.

Content

In this course, students will explore a range of pressing questions about modern labor markets: Who works, how much, and why? Do people work less if they receive a universal (guaranteed) income or pay higher taxes? Does a minimum wage reduce the employment of the very workers it aims to help? Has technological change (e.g., computers and robots) contributed to the rise in wage inequality in developed countries? How is generative artificial intelligence (AI) reshaping labor markets? How large is gender inequality in the labor market? Is there wage and hiring discrimination against women, men, and foreigners, and if so, why? After introducing the key concepts of modern labor economics, the course discusses state-of-the-art empirical research that answers these questions. Students will also become familiar with modern data science methods used by researchers to uncover causal relationships in labor markets. This introduction to modern applied economics requires no prior background in economics or statistics. The lecture is aimed at students interested in how labor markets function and in the academic debate around key labor market policies. It also targets students who want to learn how modern empirical research leverages big data to address central issues in labor economics. Performance will be assessed through a written exam at the end of the semester.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
graded semester performance
The performance assessment is based on a graded exam on the course content. The exam includes multiple-choice, analytical, and open-ended questions.

Course Components

Type Title Time & Place Hours
lecture The Economics of Work, Wages, and Discrimination
Block course
No time listed 35 h semesterly

Offered In