| Unit name | Foundations of Econometric Theory |
|---|---|
| Unit code | EFIM30050 |
| Credit points | 20 |
| Level of study | H/6 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Dr. Hubner |
| Open unit status | Not open |
| Pre-requisites |
EFIM20011 Econometrics 1 (Minimum mark of 60%) AND |
| Co-requisites |
None |
| School/department | School of Economics |
| Faculty | Faculty of Social Sciences and Law |
The course is taught in two parts. The first part covers statistical theory essential for econometrics. It focuses on mathematical properties of probability distributions and sample statistics and on key concepts of statistical inference (estimators, tests, p-values, confidence intervals). The second part is concerned with detailed examination of linear regression and with maximum likelihood estimation.
[1] A good knowledge of fundamental econometric theory
[2] To handle theoretical propositions
[3] Rigorously prove the properties of the 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
Exam (2.5 hours) (100%) Assesses all learning outcomes
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. EFIM30050).
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.
