INTRODUCTORY ECONOMETRICS

ECM2IE

2015

Credit points: 15

Subject outline

This subject provides students 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. Students will study OLS estimation, the Gauss-Markov Theorem, diagnostic tests and GLS estimation. Students will also study the applications of these techniques to various empirical examples using Eviews software.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorHeidi Ryoo

Available to Study Abroad StudentsYes

Subject year levelYear Level 2 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites ECO2IED or BUS1BAN or ECO1ISB

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjects STA3LM

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsPrinciples of Econometrics, Fourth EditionPrescribedGriffiths, W., R. Hill and G. Lim, WileyN/A
ReadingsUsing Eviews for Principles of Econometrics, Fourth EditionPrescribedGriffiths, W., R. Hill and G. LimWILEY

Graduate capabilities & intended learning outcomes

01. Critically analyse an estimated model

Activities:
Laboratory classes, Assignments, Examinations
Related graduate capabilities and elements:
Inquiry/ Research (Inquiry/ Research)
Writing (Writing)
Creative Problem-solving (Creative Problem-solving)
Critical Thinking (Critical Thinking)

02. Demonstrate an understanding of statistical formulas and apply them to specific examples

Activities:
Laboratory Classes, Assignments, Examinations
Related graduate capabilities and elements:
Inquiry/ Research (Inquiry/ Research)
Critical Thinking (Critical Thinking)

03. Use the software package 'EViews' and/or the printouts of its output to diagnose violation of assumptions and perform estimation and hypothesis tests

Activities:
Laboratory Classes, Assignments, Examinations
Related graduate capabilities and elements:
Creative Problem-solving (Creative Problem-solving)
Writing (Writing)
Inquiry/ Research (Inquiry/ Research)
Critical Thinking (Critical Thinking)

04. Demonstrate an understanding of the properties of good estimators, the Gauss-Markov Theorem and the assumptions it requires

Activities:
Assignments, Examinations
Related graduate capabilities and elements:
Inquiry/ Research (Inquiry/ Research)

Subject options

Select to view your study options…

Start date between: and    Key dates

Albury-Wodonga, 2015, Semester 2, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

Lecture Week: 31 - 43
One 2.0 hours lecture per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Laboratory Class Week: 31 - 43
One 1.0 hours laboratory class per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Assessments

Assessment elementComments% ILO*
Assignment10 01, 02, 03, 04
Mid semester exam20 01, 02, 03, 04
One 2-hour final examination (hurdle)60 01, 02, 03, 04
Tutorial Assignment10 01, 02, 03, 04

Bendigo, 2015, Semester 2, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

Lecture Week: 31 - 43
One 2.0 hours lecture per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Laboratory Class Week: 31 - 43
One 1.0 hours laboratory class per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Assessments

Assessment elementComments% ILO*
Assignment10 01, 02, 03, 04
Mid semester exam20 01, 02, 03, 04
One 2-hour final examination (hurdle)60 01, 02, 03, 04
Tutorial Assignment10 01, 02, 03, 04

Melbourne, 2015, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

Lecture Week: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Laboratory Class Week: 10 - 22
One 1.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
Assignment10 01, 02, 03, 04
Mid semester exam20 01, 02, 03, 04
One 2-hour final examination (hurdle)60 01, 02, 03, 04
Tutorial Assignment10 01, 02, 03, 04

Melbourne, 2015, Semester 2, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

Laboratory Class Week: 31 - 43
One 1.0 hours laboratory class per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Lecture Week: 31 - 43
One 2.0 hours lecture per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Assessments

Assessment elementComments% ILO*
Assignment10 01, 02, 03, 04
Mid semester exam20 01, 02, 03, 04
One 2-hour final examination (hurdle)60 01, 02, 03, 04
Tutorial Assignment10 01, 02, 03, 04

Mildura, 2015, Semester 2, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

Lecture Week: 31 - 43
One 2.0 hours lecture per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Laboratory Class Week: 31 - 43
One 1.0 hours laboratory class per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Assessments

Assessment elementComments% ILO*
Assignment10 01, 02, 03, 04
Mid semester exam20 01, 02, 03, 04
One 2-hour final examination (hurdle)60 01, 02, 03, 04
Tutorial Assignment10 01, 02, 03, 04

Shepparton, 2015, Semester 2, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

Lecture Week: 31 - 43
One 2.0 hours lecture per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Laboratory Class Week: 31 - 43
One 1.0 hours laboratory class per week on any day including weekend during the day from week 31 to week 43 and delivered via online.

Assessments

Assessment elementComments% ILO*
Assignment10 01, 02, 03, 04
Mid semester exam20 01, 02, 03, 04
One 2-hour final examination (hurdle)60 01, 02, 03, 04
Tutorial Assignment10 01, 02, 03, 04

Vietnam, 2015, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

Lecture Week: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
Assignment10 01, 02, 03, 04
Mid semester exam20 01, 02, 03, 04
One 2-hour final examination (hurdle)60 01, 02, 03, 04
Tutorial Assignment10 01, 02, 03, 04