2024/25 Taught Postgraduate Module Catalogue

LUBS5142M Distributional Analysis in Economic Development

15 Credits Class Size: 100

Module manager: Suman Seth & Gaston Yalonetzky
Email: s.seth@leeds.ac.uk & g.yalonetzky@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2024/25

This module is not approved as an Elective

Objectives

This module aims to introduce students to the tools and concepts used by economists in order to assess and address distributional concerns (e.g., inequality, poverty, mobility, polarisation etc.), which may relate to the distribution of income and other valuable achievements as well as to the joint distribution of various achievements (relating to the measurement of human development, multidimensional well-being and poverty). The module will also teach students how to analyse data in practice, with a project report.

Learning outcomes

Upon completion, students will be able to:
- Apply the learned distributional analysis tools to real-world policy issues as well as significant research questions arising in the literature.
- Demonstrate analytical skills useful for their dissertation.

Skills outcomes

Use of statistical and data management software (mainly Stata and Excel).

Syllabus

The module will cover the following topics:
1. Economic development and its effect on income distribution
2. Material inequality and poverty: measurement and analysis
3. Pro-poor economic development: tools and applications
4. Practical issues in monetary poverty measurement: choice of poverty line, welfare aggregates, purchasing power parity, equivalence scales
5. Measurement of development involving multiple dimensions: MDGs, SDGs, human development, and multidimensional poverty
6. Distributional analysis and well-being measurement with ordinal variables.
7. Objective versus subjective well-being: concepts, issues and measurement.
8. Inequality of opportunity and social mobility: concepts, issues and measurement.
9. Alternative inequality concepts: social polarisation.

Teaching Methods

Delivery type Number Length hours Student hours
Workshop 2 2 4
Lecture 11 2 22
Seminar 2 2 4
Private study hours 120
Total Contact hours 30
Total hours (100hr per 10 credits) 150

Private study

This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.

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 2000 word project report 40
Total percentage (Assessment Coursework) 40

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams
Exam type Exam duration % of formal assessment
Unseen exam 2.0 Hrs Mins 60
Total percentage (Assessment Exams) 60

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading List

The reading list is available from the Library website

Last updated: 8/16/2024

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