Postgraduate Course: Econometrics 2 - Time Series (ECNM11089)
Course Outline
School | School of Economics |
College | College of Arts, Humanities and Social Sciences |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | Building on Econometrics 1- ECNM11043, this module provides a thorough training in univariate time series econometrics. Together, Econometrics 1 and 2 enable you to critically assess applied work as well as to undertake your own using appropriate econometric techniques. You will acquire the background required for research at the PhD level or in employment as a professional applied economist. |
Course description |
Econometrics 2 - Time Series is focused on time series econometrics and will cover:
Stationary time series models; models with trend; and multi-equation time series models.
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | Students should be enrolled on MSc Economics, MSc Economics (Econometrics), MSc Economics (Finance) or MSc Mathematical Economics and Econometrics.
Any other students must email sgpe@ed.ac.uk in advance to request permission.
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Course Delivery Information
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Academic year 2024/25, Not available to visiting students (SS1)
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Quota: None |
Course Start |
Block 3 (Sem 2) |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 15,
Seminar/Tutorial Hours 12,
Supervised Practical/Workshop/Studio Hours 12,
Feedback/Feedforward Hours 9,
Formative Assessment Hours 2,
Summative Assessment Hours 2,
Revision Session Hours 3,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
43 )
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Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
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Additional Information (Assessment) |
2-hour exam in May diet (100%) |
Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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Main Exam Diet S2 (April/May) | | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Critically assess applied work as well as to undertake your own using appropriate econometric techniques.
- Acquire the background required for research at the PhD level or in employment as a professional applied economist.
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Reading List
Ghysels, Eric and Marcellino, Massimiliano, Applied Economic Forecasting using Time Series Methods, Oxford University Press, 2018 |
Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Not entered |
Contacts
Course organiser | |
Course secretary | Miss Laura Gasull Lopez
Tel:
Email: lgasull@ed.ac.uk |
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