This module covers more advanced modelling and statistical inference techniques for single and multi-equation systems and the use of these techniques for prediction and model evaluation.
This module presents a mixture of econometric theory and applications with an emphasis on understanding the theory, but it is broadly a mathematical module. Since mathematics is an international language, the course content is relevant across the globe in theory and in practice.
Students are given tough material to master which helps them acquire advanced mathematical and numeracy skills which are highly valued by the majority of employers.
All the resources for the module are available on the ELE (Exeter Learning Environment).
Full module specification
|Module title:||Econometric Analysis|
BEE2031 and BEE2020
|Duration of module:||
Duration (weeks) - term 1: |
11Duration (weeks) - term 2:
11Duration (weeks) - term 3:
This module aims to provide a thorough grounding in the modern theory of econometrics, together with working knowledge of the most important topics in econometric estimation and inference. Econometrics is now so large a subject that it is impossible to cover all areas of interest in one course. Coverage of econometric methods has to be selective. However, one essential objective is to achieve a sound, critical understanding of the theory of econometric inference – in other words, to know what claims can and cannot be made legitimately about the properties of estimates, tests and forecasts. This is more important in the long run than mastering a litany of formulae and techniques. Students will have the opportunity to apply the methods learned to real-world problems on the computer and learn to use econometric software packages.
ILO: Module-specific skills
- 1. demonstrate a comprehensive knowledge of the theory of econometric inference;
- 2. apply their understanding of econometrics to undertake empirical economic analysis and show the potential to contribute to knowledge, through original research.
ILO: Discipline-specific skills
- 3. demonstrate a clear understanding of the mathematical and statistical background of applied economics;
- 4. demonstrate the ability to critically assess, and carry out, empirical studies in economics;
- 5. use a computer for estimation and simulation exercise.
ILO: Personal and key skills
- 6. communicate effectively, using appropriate technical terms, in a variety of forms;
- 7. demonstrate a confident and flexible approach to identifying and defining complex problems and apply appropriate knowledge and methods to solve them;
- 8. analyse data and situations without guidance, using a range of appropriate techniques.
Learning activities and teaching methods (given in hours of study time)
|Scheduled Learning and Teaching Activities||Guided independent study||Placement / study abroad|
Details of learning activities and teaching methods
|Category||Hours of study time||Description|
|Scheduled learning and teaching activities||40||Lectures|
|Scheduled learning and teaching activities||10||Seminars|
|Guided independent learning||250||Reading, homework exercises, and preparation for classes and assessments.|
|Form of assessment||Size of the assessment (eg length / duration)||ILOs assessed||Feedback method|
|Tutorial questions||1 hour/ 2 weeks||1-8||Class discussion|
Summative assessment (% of credit)
|Coursework||Written exams||Practical exams|
Details of summative assessment
|Form of assessment||% of credit||Size of the assessment (eg length / duration)||ILOs assessed||Feedback method|
|Homework 1 (Term 1)||10||1 set of algebraic exercises||1,3,4,6,7||Class discussion|
|Homework 2 (Term 1)||10||1 set of algebraic exercises||1,3,4,6,7||Class discussion|
|Homework 3 (Term 2)||10||1 set of algebraic exercises||1,3,4,6,7||Class discussion|
|Homework 4 (Term 2)||10||1 set of computer exercises||1-8||Written feedback as requested|
|Examination||60||3 hours||1,3,4,6,7||Written feedback as requested|
Details of re-assessment (where required by referral or deferral)
|Original form of assessment||Form of re-assessment||ILOs re-assessed||Timescale for re-assessment|
|Homework assignment||Same as original assessment||Same as original assessment||To be decided when original work returned|
|Examination||Examination||1,3,4,6,7||August examination period|
• Revision of Matrix Algebra and Statistical Theory
• The Linear Regression Model
• Statistical Inference
• Asymptotic Theory
• Instrumental Variables
• Linear Regression with Time-Series Data
• Linear Regression with Panel Data
Indicative learning resources - Basic reading
The course will not follow any single text, and you are recommended to read widely. Useful texts include:
- Cameron, C. and Trivedi, P. K. (2010) Microeconometrics using Stata, Stata Press
- Davidson, J. (2018) Econometric Theory, Wiley
- Greene, W. (2012) Econometric Analysis, Pearson Education/Prentice Hall
- Hayashi, F. (2000) Econometrics, Princeton University Press
- Wooldridge, J. M. (2020) Introductory Econometrics: A Modern Approach, Cengage Learning
- Wooldridge, J. M. (2002) Econometric Analysis of Cross Section and Panel Data, MIT Press
Module has an active ELE page?
Last revision date