Econometric Theory II
| Module title | Econometric Theory II |
|---|---|
| Module code | BEEM142 |
| Academic year | 2024/5 |
| Credits | 15 |
| Module staff | Dr Namhyun Kim (Convenor) |
| Duration: Term | 1 | 2 | 3 |
|---|---|---|---|
| Duration: Weeks | 11 |
| Number students taking module (anticipated) | 12 |
|---|
Module description
This module builds on Econometric Theory I and further develops your knowledge and understanding of econometric and methodological research tools and the application of various econometric methods and techniques to real life problems.
Additional Information:
Internationalisation
The methods covered in this module, such as those used to forecast inflation and GDP, are applicable across countries.
Sustainability
Resources for this module are available on the ELE (Exeter Learning Environment).
Employability
Students gain an understanding of the statistical techniques used to study topics such unemployment and forecasting inflation and economic growth which are all necessary skill for working in central banks. They also develop their numerical and problem-solving skills in learning these mathematical techniques.
Module aims - intentions of the module
This module aims at providing the students with the necessary econometric and methodological research tools to equip them for carrying out empirical research projects as well as understand the contents of other modules.
The module is dedicated to the application of various econometric methods and techniques to real life problems.
Intended Learning Outcomes (ILOs)
ILO: Module-specific skills
On successfully completing the module you will be able to...
- 1. apply modern econometric techniques in the analysis of economic data
ILO: Discipline-specific skills
On successfully completing the module you will be able to...
- 2. formulate hypotheses of interest, derive the necessary tools to test this hypothesis and interpret the results
- 3. show a specialised knowledge of applied aspects of econometrics that will enable him/her to carry out applied research or direct them towards an academic career
ILO: Personal and key skills
On successfully completing the module you will be able to...
- 4. have technical expertise in computing software, particularly econometric software, to tackle empirical problems
- 5. demonstrate confidence in identifying, tackling and solving research problems
Syllabus plan
• Topics:
• Topics in estimation techniques:
1. Maximum Likelihood Estimation
2. Generalized Method of Moments
• Topics in Microeconometrics:
1. Binary choice Models and Limited Dependent Variables
2. Panel Data Models
- Topics in Time Series:
1. Univariate Time Series Models
2. Multivariate Time Series Models
3. Unit Roots and Cointegration
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 32 | 118 |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Scheduled Learning and Teaching | 22 | Lectures |
| Scheduled Learning and Teaching | 10 | Tutorials |
| Independent Study | 118 | Independent study |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Weekly exercises | 5-15 questions per week | 1-5 | Oral/Written |
Summative assessment (% of credit)
| Coursework | Written exams | Practical exams |
|---|---|---|
| 20 | 80 | 0 |
Details of summative assessment
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Assignment | 20 | 2000 words | 1-5 | Oral/Written |
| Final Exam | 80 | 2 hours | 1-5 | Oral/Written |
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 |
|---|---|---|---|
| Assignment | Assignment (20%) | 1-5 | August |
| Final exam | Final exam (80%) | 1-5 | August |
Indicative learning resources - Basic reading
Cameron, C. and P. Trivedi (2005), Microeconometrics: Methods and Applications, Cambridge University Press.
Greene, W. (2008), Econometric Analysis, New Jersey: Prentice Hall, 6th Edition. (main textbook.)
Hamilton, J. D. (1994), Time Series Analysis, Princeton University Press.
| Credit value | 15 |
|---|---|
| Module ECTS | 7.5 |
| Module pre-requisites | BEEM139. Only available to students on the MRes Economics and MRES Economics (PHD Pathway) programmes. |
| Module co-requisites | None |
| NQF level (module) | 7 |
| Available as distance learning? | No |
| Origin date | 04/04/2016 |
| Last revision date | 11/05/2022 |
