Module manager: Ali Raza
Email: a.raza@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
| LUBS5134M | Econometrics |
This module is not approved as an Elective
The goal of this module is for you to learn how to integrate statistical tools with research designs that are useful in conducting empirical elements of research in applied economics; as such, there is an emphasis on specification. You will learn how to conceptualize, prepare for, and implement your own empirical projects.
Building on the foundation laid by LUBS 5134M, this module aims to equip students with a good range of skills and tools for quantitative analysis. Its focus is on the use of data and econometric analysis to answer real-world questions and examine predictions of economic theory.
Upon completion of this module students will be able to critically evaluate:
- the limitations and uses of regression methods in economics
- regression packages and how they are used
- the need for nuanced, deep analysis of quantitative data in analytical settings
- the contrasting logics of different econometric methods
Upon completion of this module students will be able to:
Subject specific
- Utilise the fundamental tools of econometric analysis in real-world setting
- Utilise regression packages
- Competently analyse quantitative data, and run appropriate statistical and econometric tests
Indicative content
The module will focus on two concepts. The first is understanding econometric concepts and empirical tools. The second is to understand how to use these tools and concepts to implement empirical tests of economic concepts and theories. There will be some focus as well on policy evaluation methods.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Workshop | 5 | 2 | 10 |
| Lecture | 11 | 2 | 22 |
| Seminar | 5 | 2 | 10 |
| Private study hours | 108 | ||
| Total Contact hours | 42 | ||
| Total hours (100hr per 10 credits) | 150 | ||
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.
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.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | 2,000 words | 30 |
| Total percentage (Assessment Coursework) | 30 | |
The resit for this module will be 100% by 3 hour examination
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 3.0 Hrs 0 Mins | 70 |
| Total percentage (Assessment Exams) | 70 | |
The resit for this module will be 100% by 3 hours examination.
The reading list is available from the Library website
Last updated: 12/17/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team