Curricular information is subject to change.
By the end of this course, students should be able to:
1) select and formulate the appropriate econometric model for given a research question and data setting;
2) identify the appropriate estimator among the ones seen in class;
2) estimate all the models seen in class using R
Cross-section and panel data
- Models with limited dependent variables
- Selection models
- Panel data models
-Treatment effects
| Student Effort Type | Hours |
|---|---|
| Autonomous Student Learning | 80 |
| Lectures | 24 |
| Tutorial | 12 |
| Total | 116 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Individual Project: Assignment on OLS and Limited Dependent Variable models. | Week 7 | Alternative linear conversion grade scale 40% | No | 20 |
No |
| Assignment(Including Essay): Assignment on Panel Data. | Week 12 | Alternative linear conversion grade scale 40% | No | 20 |
No |
| Exam (In-person): Final exam covering the all lectures/tutorials | End of trimester Duration: 2 hr(s) |
Alternative linear conversion grade scale 40% | No | 60 |
No |
| Resit In | Terminal Exam |
|---|---|
| Summer | Yes - 2 Hour |
• Group/class feedback, post-assessment
• Online automated feedback
• Self-assessment activities
How will my Feedback be Delivered? 1. Assignments 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.