Labour Economics - ECO00043H

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  • Department: Economics and Related Studies
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2025-26

Module summary

Economic models and empirical evidence of labour market issues that help shape public policy

Related modules


Module will run

Occurrence Teaching period
A Semester 2 2025-26

Module aims

This course is an introduction to the economic analysis of behaviour and institutions in labour markets.

Primarily microeconomic models are applied to labour market phenomena. These include

  • How do firms set wages? And how do workers respond to incentives to work?

  • Why do some people get paid based on their performance and others get a fixed wage?

  • Is there discriminiation against women/minority ethnic groups in the labour market?

  • How important is education in determining labour market outcomes?

  • How will technological change affect who is hired and at what wage?

  • Is immigration bad for natives with poor qualifications?

  • Can policy reduce inequality and discrimination without harming efficiency?

Module learning outcomes

On completing the module, students should be able to understand

  • Why inequalities and discriminiation are policy problems

  • how microeconomic models can be used to make predictions related to labour market

  • how micro models and empirical evidence are important policy tools

  • the empirical evidence linked to specific questions and use this evidence to understand policy solutions

Indicative assessment

Task % of module mark
Closed/in-person Exam (Centrally scheduled) 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Closed/in-person Exam (Centrally scheduled) 100

Module feedback

Fortnightly problem sets: students can get feedback on each assignment if they choose to submit.

Fortnightly problem set lectures: the students will solve the problems together with the lecturer in class.

Indicative reading

G Borjas, Labor Economics.

Additional reading, drawn from journals, will be suggested during the course.