ADVANCED TIME-SERIES ECONOMETRICS

BUS5ATE

Not currently offered

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 (Pre 2022)

Credit points: 15

Subject Co-ordinator: Jae Kim

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 5 - Masters

Available as Elective: No

Learning Activities: Seminars, readings, class discussions and assessment items.

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: Students must be enrolled in LHCOM (Bachelor of Commerce (Honours)), Masters by research, or LDPH (PhD) to do this subject

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

COMMUNICATION - Communicating and Influencing
DISCIPLINE KNOWLEDGE AND SKILLS
INQUIRY AND ANALYSIS - Creativity and Innovation
INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

Intended Learning Outcomes

01. Provide a full and accurate explanation of relevant time-series econometric techniques and the assumptions that underpin these techniques.
02. Prepare data for analysis [including data cleaning and checking]
03. Demonstrate the ability to apply time-series econometric techniques using relevant statistical software.
04. Demonstrate the ability to correctly interpret the output of time-series econometric procedures.
05. Write a report detailing a time-series econometric method and results in an accurate and scholarly way.
Subject not currently offered - Subject options not available.