ADVANCED TIME-SERIES ECONOMETRICS
BUS5ATE
2017
Credit points: 15
Subject outline
The purpose of this subject is to introduce you to the theoretical and applied aspects of univariate and multivariate time series modelling in business, economics, and finance. Topics covered include VAR modelling, Granger causality analysis, impulse response analysis, cointegration and error correction models. There will be a strong focus on applications and on the use of the econometrics packages such Eviews or R.
School: La Trobe Business School
Credit points: 15
Subject Co-ordinator: Jae Kim
Available to Study Abroad Students: Yes
Subject year level: Year Level 5 - Masters
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Graduate capabilities & intended learning outcomes
01. Provide a full and accurate explanation of relevant time-series econometric techniques and the assumptions that underpin these techniques.
- Activities:
- Seminars, readings, class discussions and all four assessment items.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Prepare data for analysis [including data cleaning and checking]
- Activities:
- Explicitly teaching the key assumptions and principles; modelling of techniques.
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Demonstrate the ability to apply time-series econometric techniques using relevant statistical software.
- Activities:
- Explicitly teaching and modelling techniques; applying techniques to secondary data using relevant software.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Demonstrate the ability to correctly interpret the output of time-series econometric procedures.
- Activities:
- Explicitly teaching and modelling interpretation of outputs; explaining meaning of time-series econometric output to classmates.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Write a report detailing a time-series econometric method and results in an accurate and scholarly way.
- Activities:
- Explicitly teaching characteristics of scholarly reporting of time-series econometric analysis.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Melbourne, 2017, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Jae Kim
Class requirements
SeminarWeek: 10 - 22
One 2.0 hours seminar per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Laboratory ClassWeek: 11 - 22
One 1.0 hours laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| 3 x 1500 word individual assignments | 100 | 01, 02, 03, 04, 05 |