ECON42710 Advanced Econometrics: Time Series

Academic Year 2023/2024

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.

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Curricular information is subject to change

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.

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning




Computer Aided Lab




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
FIN41660 - Financial Econometrics, STAT40700 - Time Series Analysis - Act App, STAT40860 - Time Series (online)

Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: Final exam. Essay type questions. 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No


Assignment: Graded assignment involving the analysis of real world data using the methods of the course. Week 8 n/a Alternative linear conversion grade scale 40% No


Carry forward of passed components
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
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.
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 31, 32, 33 Mon 14:00 - 15:50
Computer Aided Lab Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 13:00 - 13:50