Show/hide contentOpenClose All
Curricular information is subject to change
By the end of this course, students should be able to:
1) write down the appropriate econometric model among the ones seen in class, given a research question they are asked to address and the dataset available;
2) identify the appropriate estimator among the ones seen in class;
2) estimate all the models seen in class using STATA .
Time Series
1. Stationary Time Series (Ch 2 Enders)
2. Models with trend (Ch 4 Enders)
3. Vector Auto-Regressive models (Ch 5 Enders)
4. Cointegration and error correction models (Ch 6 Enders)
Cross-section and panel data
- Models with limited dependent variables
- Static and dynamic panel data models
Student Effort Type | Hours |
---|---|
Lectures | 22 |
Computer Aided Lab | 11 |
Autonomous Student Learning | 80 |
Total | 113 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: Assignments and problem sets will be offered throughout the trimester. Details will be given on the first day of class. | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 100 |
Resit In | Terminal Exam |
---|---|
Summer | No |
• Group/class feedback, post-assessment
• Online automated feedback
• 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 |
---|---|
Dr Nora Strecker | Lecturer / Co-Lecturer |