2025/26 Taught Postgraduate Module Catalogue

LUBS5148M Economics of Wellbeing

15 Credits Class Size: 90

Module manager: Dr Clemens Hetschko
Email: c.hetschko@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2025/26

Pre-requisites

LUBS5134M Econometrics

This module is not approved as an Elective

Module summary

This module familiarises students with the economics of wellbeing and provides a training in applied data analyses. In the lectures, we will answer the question why measuring individual and societal welfare has become an urgent topic in economics. Then, the concepts and methods of wellbeing research will be introduced. On this basis, we will discuss applications of wellbeing research in economics, such as welfare measurement beyond GDP, labour market policy and cost-benefit analysis of environmental goods. In the course of the computer practicals, students will learn to conduct their own empirical wellbeing research project by replicating some of the major papers in wellbeing research. These replication studies provide students with hands-on experience of cutting-edge data analysis and allow them to develop a deeper understanding of the scientific process, including research ethics.

Objectives

This module aims to:
- Introduce students to key concepts and methods in the economics of wellbeing.
- Enable students to develop and demonstrate an advanced knowledge of conceptual and empirical issues in the economics of wellbeing.
- Critically apply the key conceptual and empirical issues to independently explore current issues in the economics of wellbeing.
- Analyse wellbeing data to replicate a published paper.

Learning outcomes

On completion of this module, students will be able to:
- Analyse, synthesise and evaluate the key conceptual and empirical issues in the
economics of wellbeing.
- Conduct independent wellbeing research.
- Critically evaluate the ethical implications and the requirements for transparency and reproducibility across the phases of quantitative research.

Skills outcomes

Use of statistical software package, working with survey data, replication.

Syllabus

Indicative content includes:
-Why economists study happiness
-Concepts and methods of research in the economics of wellbeing
-Measurement of welfare beyond GDP
-The relationship between income and welfare
-Exploring The true cost of unemployment
-Welfare and Labour market policy and wellbeing
-Cost-benefit analysis of environmental goods using wellbeing data

Teaching Methods

Delivery type Number Length hours Student hours
Workshop 8 2 16
Lecture 10 2 20
Private study hours 114
Total Contact hours 36
Total hours (100hr per 10 credits) 150

Private study

This could include a variety of activities, such as reading, watching videos, question practice and working on your individual research project.

Opportunities for Formative Feedback

Your teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.

Methods of Assessment

Coursework
Assessment type Notes % of formal assessment
Report 3,000 word report on STATA-based project 100
Total percentage (Assessment Coursework) 100

The resit for the module is 100% by 3,000 word report.

Reading List

Check the module area in Minerva for your reading list

Last updated: 18/12/2025

Errors, omissions, failed links etc should be notified to the Catalogue Team