Econometric Methods for Research - ECO00044M
- Department: Economics and Related Studies
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2022-23
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Autumn Term 2022-23 to Spring Term 2022-23 |
Module aims
To understand and critically assess some of the econometric techniques used in modern economic research.
Module learning outcomes
On completing the module a student will be able to:
Define, and illustrated, the concepts of multiple linear regression, simultaneous equations models, nonlinear models, maximum likelihood and generalised method of of moments.
Explain and evaluate the importance of these econometric concepts.
Apply these concepts to analyse the economics of finance data.
Define and illustrate the concept of statistical hypothesis.
Indicative assessment
| Task | % of module mark |
|---|---|
| Online Exam - 24 hrs (Centrally scheduled) | 100 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Online Exam - 24 hrs (Centrally scheduled) | 100 |
Module feedback
Within 4 weeks.
Indicative reading
Wooldridge, J., Econometric Analysis of Cross Sections and Panel Data 2nd Edition, MIT Press 2010.
Additional references will be provided during the course.