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 and finance data.
Curricular information is subject to change.
This module introduces students to some of the most commonly used time series econometrics models and estimation methods in the field of macro economics and finance. 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 |
|---|---|
| Lectures | 22 |
| Computer Aided Lab | 10 |
| Autonomous Student Learning | 80 |
| 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.Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Incompatibles:ECON3007J - Econometrics of Financial Mark, ECON30420 - Advanced Econometrics, STAT30010 - Time Series Analysis, STAT3007J - Time Series Analysis
Assessment Strategy
| Description | Timing | Component Scale | % of Final Grade | |||
|---|---|---|---|---|---|---|
| Assignment: Graded assignment requiring the estimation of econometric models on real world data. | Week 4 | n/a | Alternative linear conversion grade scale 40% | No | 20 |
No |
| Assignment: Graded assignment involving the estimation of econometric models on real world data | Week 8 | n/a | Alternative linear conversion grade scale 40% | No | 20 |
No |
| Examination: 2 hour end of trimester exam. Essay type questions. | 2 hour End of Trimester Exam | No | Alternative linear conversion grade scale 40% | No | 60 |
No |
Carry forward of passed components
No
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.
| Name | Role |
|---|---|
| Xidong Guo | Tutor |