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Curricular information is subject to change
By the end of this module students should be able to:
1. describe the properties and shortcomings of a variety of econometric models and estimators,
2. apply the methods analyzed in class on macro and finance data.
Student Effort Type | Hours |
---|---|
Lectures | 22 |
Computer Aided Lab | 10 |
Autonomous Student Learning | 80 |
Total | 112 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): Final exam during end of trimester exam period | n/a | Alternative linear conversion grade scale 40% | No | 70 |
|
Individual Project: Individual project involving data analysis | n/a | Alternative linear conversion grade scale 40% | No | 30 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Group/class feedback, post-assessment
• Self-assessment activities
1. Regular problem sets will be assigned throughout the semester for self-assessment; solutions will be posted on Brightspace and will be explained in detail during tutorials. 2. Appointments will be given to those students wishing to get individual feedback on the empirical assignments and the final examination.
Name | Role |
---|---|
Xidong Guo | Tutor |