| Unit name | Applied Quantitative Research Methods |
|---|---|
| Unit code | EFIM20010 |
| Credit points | 20 |
| Level of study | I/5 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Samkharadze |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
EFIM10008 Mathematical and Statistical Methods |
| 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?
Economics as a subject is substatively an empirical subject; economists use data to evaluate causal relationships between economic variables. This unit will provide students with an overview of some of the important statistical methods used to estimate causal relationships, and an ability to interpret published empirical results.
How does this unit fit into your programme of study?
This unit builds upon the statistics learnt within year one of the undergraduate programme, and will provide students with the framework to be able to interpret, and evaluate empirical research in final year units.
Overview of content
This unit aims to provide students with a functional understanding of econometrics, and the ability to interpret econometric models. The focus will be on the intuition and interpretation of the models.
The content will include topics such as
Students should be able to interpret output from these models as well as show knowledge of appropriate models to apply when presented with data. Students will be expected to develop a small mathematical understanding of the concepts underlying Ordinary Least Squares.
How wil students, personally, be different as a result of this unit?
This unit will prepare students to be able to read, and interpret, published empirical research, which they will be able to use within their final year units. In addition, students will develop important skills linked to employability, such as the ability to use computers to analyse data.
Learning Outcomes
Students will be able to:
Teaching will be delivered through a combination of large and small group classes, supported by online resources
Tasks which help you learn and prepare you for summative tasks (formative):
Formative work is ongoing throughout the course with opportunities for discussing the (typically weekly) problem sets.
Tasks which count towards your unit mark (summative):
Both assessments test all learning outcomes.
When assessment does not go to plan:
If students fail the unit such that credit points cannot be awarded at the first attempt, they will normally be provided reassessment in the failed element(s).
The reassessment tasks will be;
Both assessments test 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. EFIM20010).
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.
