| Unit name | Econometrics beyond the mean |
|---|---|
| Unit code | EFIMM0096 |
| Credit points | 15 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Stouli |
| Open unit status | Not open |
| Pre-requisites |
ECONM1022 Econometrics |
| Co-requisites |
Nil |
| School/department | School of Economics |
| Faculty | Faculty of Social Sciences and Law |
The aim of this unit is to introduce students to some modern micro econometric techniques, including a range of recent methods in the econometric analysis of the distributional impact of a policy or treatment. These techniques are used for the modelling of heterogenous effects in economic analysis.
The topics include heterogenous effects, quantile regression, distributional regression and causal modelling. The unit aims to build in students the ability to know, apply, and evaluate these tools and to implement them when undertaking novel research.
At the end of the course, students will be able to:
1. Demonstrate knowledge and understanding of econometric models incorporating heterogeneity in individual and policy effects.
2. Use quantile regression and distributional regression methods in their research and work.
3. Demonstrate knowledge and understanding of econometric properties of quantile regression and distributional regression methods.
4. Access the journal articles in the discipline, evaluate them critically and start independent research projects involving some recent econometric techniques.
This unit provides a thorough and in-depth treatment of the basic concepts and methods in micro econometrics and distributional modelling.
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
timed open book assessment
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. EFIMM0096).
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.
