ECONOMETRICS

ECM2IE

2020

Credit points: 15

Subject outline

This subject provides you with the necessary skills in statistical and econometric techniques to carry out independent empirical studies. This subject presents the theory of multiple regression used to estimate and test the validity of economic relationships. You will study OLS estimation, the Gauss-Markov Theorem, diagnostic tests and GLS estimation. You will also study the applications of these techniques to various empirical examples using Eviews software.

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 2 - UG

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: ECO2IED or BUS1BAN or ECO1ISB or Admission into the Bachelor of Business Information Systems SBBIY

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: STA3LM

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

Learning resources

Using Eviews for Principles of Econometrics

Resource Type: Book

Resource Requirement: Prescribed

Author: Griffiths, W., R. Hill and G. Lim

Year: N/A

Edition/Volume: Fourth Edition

Publisher: Wiley

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Principles of Econometrics

Resource Type: Book

Resource Requirement: Prescribed

Author: Griffiths, W., R. Hill and G. Lim, Wiley

Year: N/A

Edition/Volume: Fourth Edition

Publisher: Wiley

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: 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

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. Critically analyse an estimated model
02. Demonstrate an understanding of statistical formulas and apply them to specific examples
03. Use the software package 'EViews' and/or the printouts of its output to diagnose violation of assumptions and perform estimation and hypothesis tests
04. Demonstrate an understanding of the properties of good estimators, the Gauss-Markov Theorem and the assumptions it requires

Melbourne (Bundoora), 2020, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Jae Kim

Class requirements

Laboratory ClassWeek: 31 - 43
One 1.00 hour laboratory class per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 43
One 2.00 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

AssignmentA project (equivalent to 500 essay words)

N/AN/AN/ANo10SILO1, SILO2, SILO3, SILO4

Mid semester exam1 hour written/MC exam

N/AN/AN/ANo20SILO1, SILO2, SILO3, SILO4

One 2-hour final examination2 hour written/MC exam

N/AN/AN/ANo60SILO1, SILO2, SILO3, SILO4

Weekly HomeworkEquivalent to 500 essay words

N/AN/AN/ANo10SILO1, SILO2, SILO3, SILO4

Sydney, 2020, Study period 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Jae Kim

Class requirements

Laboratory ClassWeek: 10 - 22
One 1.00 hour laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

AssignmentA project (equivalent to 500 essay words)

N/AN/AN/ANo10SILO1, SILO2, SILO3, SILO4

Mid semester exam1 hour written/MC exam

N/AN/AN/ANo20SILO1, SILO2, SILO3, SILO4

One 2-hour final examination2 hour written/MC exam

N/AN/AN/ANo60SILO1, SILO2, SILO3, SILO4

Weekly HomeworkEquivalent to 500 essay words

N/AN/AN/ANo10SILO1, SILO2, SILO3, SILO4

Sydney, 2020, Study period 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Jae Kim

Class requirements

Laboratory ClassWeek: 31 - 42
One 1.00 hour laboratory class per week on weekdays during the day from week 31 to week 42 and delivered via face-to-face.

LectureWeek: 31 - 42
One 2.00 hours lecture per week on weekdays during the day from week 31 to week 42 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

AssignmentA project (equivalent to 500 essay words)

N/AN/AN/ANo10SILO1, SILO2, SILO3, SILO4

Mid semester exam1 hour written/MC exam

N/AN/AN/ANo20SILO1, SILO2, SILO3, SILO4

One 2-hour final examination2 hour written/MC exam

N/AN/AN/ANo60SILO1, SILO2, SILO3, SILO4

Weekly HomeworkEquivalent to 500 essay words

N/AN/AN/ANo10SILO1, SILO2, SILO3, SILO4