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Curricular information is subject to change
Upon successful completion of the course, a student will be able to:
1. perform a linear regression (both theory and practice)
2. to formally test statistical hypotheses and to evaluate empirical economic research.
3. detect possible issues in the analysis
4. have an appreciation of the strength and weaknesses of econometrics and its use in the evaluation of competing economic theories and alternative policies
Cases & Topics (may change):
1. Are women paid less than men? (intro to statistics)
2. What is the MPC? (Simple regression)
3. House prices in Dublin (Multivariate regression)
4. Does China have constant returns to scale?
5. How do Lawyers set fees?
6. Properties of OLS
7. Problems with OLS
8. Doing an econometric project
9. Endogeneity
10. TSLS
11. Binary dependant variables (maybe)
Student Effort Type | Hours |
---|---|
Lectures | 30 |
Computer Aided Lab | 20 |
Autonomous Student Learning | 60 |
Total | 110 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Examination: End of trimester exam. | 2 hour End of Trimester Exam | No | Alternative linear conversion grade scale 40% | No | 60 |
Continuous Assessment: Continuous Assessment | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 40 |
Resit In | Terminal Exam |
---|---|
Summer | Yes - 2 Hour |
• Group/class feedback, post-assessment
Throughout the year students will get feedback during their lab session. For all assessment(s), students will be given a detailed correction and a possibility to discuss their performance with the lecturer.
Name | Role |
---|---|
Dr Zuzanna Studnicka | Lecturer / Co-Lecturer |