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Curricular information is subject to change
By the end of this course, you should be able to:
1. identify the econometric model best suited given a research question to be addressed and the dataset available;
2. identify the appropriate estimator and describe its properties;
3. estimate the parameters of the model using R
1. Review of basic regression models
2. Limited dependent variables models
3. Panel data models
4. Treatment effects models
Student Effort Type | Hours |
---|---|
Autonomous Student Learning | 80 |
Lectures | 24 |
Tutorial | 12 |
Total | 116 |
It is strongly recommended that students have passed ECON30130 or an equivalent undergraduate econometrics module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: Two problem sets will be assigned over the course of the term. | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 40 |
Examination: Final exam | 2 hour End of Trimester Exam | No | Alternative linear conversion grade scale 40% | No | 60 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
1. Regular problem sets will be assigned throughout the semester and solutions will be posted on Brightspace. 2. Appointments will be given to those students wishing to get individual feedback on the empirical assignments and the final examination.
Name | Role |
---|---|
Dimitrios Argyros | Tutor |