| 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. Sokullu |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
ECONM1022 Econometrics |
| Units you must take alongside this one (co-requisite units) |
None |
| Units you may not take alongside this one |
None |
| School/department | School of Economics |
| Faculty | Faculty of Social Sciences and Law |
Why is this unit important:
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.
Topics covered in this unit 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.
The techniques and topics above are widely studied and used in data science, applied economics and policy analysis, both in academic and non-academic contexts.
How does this unit fit into your programme of study:
Provides a natural follow-up to the core Econometrics course in teaching block 1.
An overview of content
The topics include heterogenous effects, quantile regression, distributional regression and causal modelling.
How will students, personally, be different as a result of the unit
Students will lean to approach statistical learning in new ways and think in terms of concepts that are not common in other taught econometrics courses, such as the key concepts of distributional policy and treatment effects.
Learning Outcomes
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
Tasks which help you learn and prepare you for summative tasks (formative):
- Computer classes with substantial R training and implementation.
- Exercises.
Tasks which count towards your unit mark (summative):
Timed open book exam (2.5 hours) (100%). Assesses all ILOs
When assessment does not go to plan
Timed open book exam (2.5 hours)
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 University 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. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
