Labor Economics

ECS571 Labor Economics

Spring 2024

  • Topics

    The course covers traditional topics in labor economics and encourages the development of own research ideas. The course will discuss the neoclassical model of labor demand and also covers the implications of imperfect competition on the labor market. Topics include wage and employment determination, minimum wages, technological change, and institutions in the labor market. There will be particular emphasis on the interaction between theoretical and empirical modeling.

  • Learning outcome

    Knowledge

    At the end of the course, students will:

    • have a sound knowledge on key topics of labour demand
    • be able to work with models of labor demand with imperfect competition
    • be able to assess the empirical evidence on the impact of minimum wages
    • understand the interaction between technological change and labour demand.

    Skills

    At the end of the course, students will:

    • be able to identify and pose interesting research questions in labour economics.

    General competence

    At the end of the course, students will:

    • be able to test economic theories applying state of the art econometrics methods.


  • Teaching

    There will be plenary lectures, group discussion on research ideas, and student presentations.

    We will meet physically, and will only meet online if the situation changes and we are not allowed to meet on campus.

  • Restricted access

    • PhD candidates at NHH.
    • PhD candidates from University of Bergen.
    • PhD candidates from other higher educational institutions.
    • Promising master students if approved by course responsible.


  • Recommended prerequisites

    Master level Microeconomic Theory and Econometrics.


  • Compulsory Activity

    Course attendance and participation in discussions.


  • Assessment

    Individual written assignment due 6 weeks after course ends. The assignment must be written in English.

  • Grading Scale

    Pass/fail.


Overview

ECTS Credits
5
Semester

Expired

Course responsible

Associate Professor Attila Lindner, University College London