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Curricular information is subject to change
At the end of this course, students should be able to:
1. recognize econometric problems that may arise from data or hypotheses,
2. understand the limitations of OLS and how they need to be corrected;
3. identify the appropriate estimator and its properties;
4. estimate the model using R;
5. discuss and interpret the results.
1. Review of basic regression models
2. Limited dependent variables models
3. Panel data models
4. Treatment effects models
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 12 |
Autonomous Student Learning | 80 |
Total | 116 |
It is strongly recommended that students have passed ECON30130 or an equivalent undergraduate econometrics module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Resit In | Terminal Exam |
---|---|
Summer | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
1. Two projects 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 |
---|---|
Beatriz Salvan Gietner Behr | Tutor |