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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 to cross-section and panel data.
1. Review of prior estimation methods (OLS, endogenous regressors, etc.)
2. Models with limited dependent variables
3. Selection and treatment effects
4. Panel data models
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Computer Aided Lab | 12 |
Autonomous Student Learning | 80 |
Total | 116 |
Students must have passed ECON30130 or an equivalent Econometrics module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Examination: Final exam | 2 hour End of Trimester Exam | No | Alternative linear conversion grade scale 40% | No | 50 |
Continuous Assessment: Problem sets will be given throughout the term. The details will be discussed on the first day of class. | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 50 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• 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.