Assessment in the module takes the form of an online software skills test (worth 10% of the final mark) and a final written exam (worth 90%).
Aims and Objectives
Learning Outcomes
Syllabus
The main topics to be covered include:
- Linear Regression Models
- Hypothesis Testing and Confidence Intervals
- Instrumental Variables Regression Models
- Discrete Choice Models
Depending on students' prior knowledge of econometrics and their interests other topics may be added or substituted as well.
Learning and Teaching
Teaching and learning methods
The module will be delivered in lectures that will cover both the presentation of the theory and its application.
Assessment
Assessment strategy
Assessment is through end of module written examination only. This is supported by continuous formative assessment in form of problem sets. This is the same for internal repeat. Assessment for external repeat and referral is through 100% end of module examination.
