| Unit name | MRes Econometrics 1 |
|---|---|
| Unit code | EFIMM0021 |
| Credit points | 15 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Dr. David Pacini |
| Open unit status | Not open |
| Pre-requisites |
None |
| Co-requisites |
MRes Mathematics for Economics |
| School/department | School of Economics |
| Faculty | Faculty of Social Sciences and Law |
This unit aims to broaden and deepen knowledge and understanding of basic econometrics. Topics will include the general linear regression model, asymptotic distribution theory, instrumental variables estimation and maximum likelihood estimation. In addition, the course will introduce and make extensive use of linear/matrix algebra, differential calculus and statistical inference techniques. The unit aims to build in students the ability to know, understand, and evaluate these tools and to apply them when undertaking novel research. Applications will highlight the scope and limitations of these tools.
1. Recognize to distinguish between specification, sampling, Type I, and Type II errors.
2. Apply the least squares, sample analogue, and maximum likelihood principles to generate estimators.
3. Listing and analysing the assumptions guaranteeing the validity of the estimators obtained from the least squares, sample analogue, and maximum likelihood estimators.
4. Formulate and test statistical hypotheses based on linear and nonlinear parametric models.
5. Prove asymptotic properties of linear and nonlinear parametric estimators.
Teaching will be delivered through a combination of synchronous and asynchronous sessions such as online teaching for large and small group, face-to-face small group classes (where possible) and interactive learning activities
Coursework (15%)
Exam 3 hours (85%)
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EFIMM0021).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
