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You are here Postgraduate > Diploma in Applied Economics and Big Data > Course Structure > Topics in Labour Economics and Big Data

Topics in Labour Economics and Big Data

Module Code: ECP77484

  • ECTS Credit: 5
  • Mandatory/Optional: Optional
  • Semester/Term Taught: Hilary Term
  • Module Coordinator: Professor Selim Gulesci

Aims of Module

The module will cover a range of topic in the field of Labour Economics. The central aim of the course is to understand how labour markets work, and how they are affected by institutions and labour market policies.

Module Delivery

The module will be delivered through a combination of lectures (8 hours) and tutorials (3 hours).

Learning Outcomes

On completion of the module, students will be able to:

  • Identify and understand key issues related to the field of Labour Economics;
  • Formulate a balanced, critical judgment on the status of the debate around these issues;
  • Confidently discuss papers in the field of Labour Economics;
  • Critically evaluate contributions to the field of Labour Economics;

Syllabus

The module will present key theoretical models and related empirical evidence that shape our understanding of how labor markets work. The focus will be mostly on the micro-level and the lectures will build around the evidence provided by the most recent empirical research in the field. It is envisaged that the following topics will be covered:

  1. Introduction to Labour Economics
  2. Labour Supply
  3. Labour Demand
  4. Labour Market Equilibrium
  5. Human Capital
  6. Migration
  7. Labour Market Discrimination
  8. Incentive Pay
  9. Unemployment

Recommended Readings

The module will cover state-of-the-art contributions in the field of Labour Economics. A detailed reading list will be provided at the start of the course.

Assessment

The overall grade for the course is based on continuous assessment (50%) and project (50%)

Module Website

Blackboard