Learning Outcomes:
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 on macro data.
Curricular information is subject to change.
This module introduces students to some of the most commonly used econometrics models and estimation methods in the field of economics. We will explore univariate and multivariate time series (ARMA, unit roots, VAR, etc.).
This module assumes that students have passed an introductory econometrics module such as ECON30130 or equivalent.
This module assumes that students have passed an introductory econometrics module such as ECON30130 or equivalent.
About this Module
Student Effort Hours:
| Student Effort Type | Hours |
|---|---|
| Autonomous Student Learning | 80 |
| Lectures | 22 |
| Computer Aided Lab | 10 |
| Total | 112 |
Approaches to Teaching and Learning:
The modules comprises lectures and hands-on computer lab sessions; the latter allow students to apply the techniques learned on real data and to develop confidence in handling datasets and statistical software.Students must have passed ECON30130 or an equivalent Econometrics module.
Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Incompatibles:FIN41660 - Financial Econometrics, STAT40700 - Time Series Analysis - Act App, STAT40860 - Time Series (online)
Assessment Strategy
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Individual Project: Data analysis project | Week 7 | Alternative linear conversion grade scale 40% | No | 20 |
No |
| Exam (In-person): Final exam during post trimester exam period | End of trimester Duration: 2 hr(s) |
Alternative linear conversion grade scale 40% | No | 80 |
No |
| Resit In | Terminal Exam |
|---|---|
| Summer | Yes - 2 Hour |
Feedback Strategy/Strategies
• Group/class feedback, post-assessment
• Self-assessment activities
How will my Feedback be Delivered?
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.
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
| Spring | Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33 | Fri 10:00 - 11:50 |
| Spring | Computer Aided Lab | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 13:00 - 13:50 |