2018/19 Taught Postgraduate Module Catalogue
LUBS5108M Applied Econometrics
15 creditsClass Size: 150
Module manager: Kausik Chaudhuri
Email: .
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2018/19
Pre-requisites
LUBS5134M | Econometrics |
This module is not approved as an Elective
Module summary
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.Objectives
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.Learning outcomes
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
Skills outcomes
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
Syllabus
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.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Computer Class | 5 | 2.00 | 10.00 |
Lecture | 11 | 2.00 | 22.00 |
Seminar | 5 | 2.00 | 10.00 |
Private study hours | 108.00 | ||
Total Contact hours | 42.00 | ||
Total hours (100hr per 10 credits) | 150.00 |
Private study
2 hours reading per lecture for 22 hours; 1.5 hours per seminar/computer assignment for 15 hours; 25 hours for Project Report; 46 hours for revision for the final examination - total 108 hoursOpportunities for Formative Feedback
Progress will be monitored by students’ contributions made to seminars and computer-based workshops.Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Report | 1500 word research report | 30.00 |
Total percentage (Assessment Coursework) | 30.00 |
The resit for this module will be 100% by examination
Exams
Exam type | Exam duration | % of formal assessment |
Standard exam (closed essays, MCQs etc) | 3 hr 00 mins | 70.00 |
Total percentage (Assessment Exams) | 70.00 |
The resit for this module will be 100% by 3 hours examination.
Reading list
The reading list is available from the Library websiteLast updated: 12/12/2018 10:48:53
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