INTRODUCTORY ECONOMETRICS

ECM2IE

2017

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.

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 or Admission into the Bachelor of Business Information Systems SBBIY

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, WileyWiley
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
Writing
Creative Problem-solving
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
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
Writing
Inquiry/ Research
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

Subject options

Select to view your study options…

Start date between: and    Key dates

Melbourne, 2017, 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*
AssignmentA project (equivalent to 500 essay words)10 01, 02, 03, 04
Mid semester exam1 hour written/MC exam20 01, 02, 03, 04
One 2-hour final examination2 hour written/MC exam 60 01, 02, 03, 04
Weekly HomeworkWeekly homework (equivalent to 500 essay words)10 01, 02, 03, 04

Melbourne, 2017, Semester 2, Day

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 weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Lecture Week: 31 - 43
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
AssignmentA project (equivalent to 500 essay words)10 01, 02, 03, 04
Mid semester exam1 hour written/MC exam20 01, 02, 03, 04
One 2-hour final examination2 hour written/MC exam 60 01, 02, 03, 04
Weekly HomeworkWeekly homework (equivalent to 500 essay words)10 01, 02, 03, 04

Sydney, 2017, Study Period 3, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

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

Lecture
One 2.0 hours lecture per week on weekdays during the day and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
AssignmentA project (equivalent to 500 essay words)10 01, 02, 03, 04
Mid semester exam1 hour written/MC exam20 01, 02, 03, 04
One 2-hour final examination2 hour written/MC exam 60 01, 02, 03, 04
Weekly HomeworkWeekly homework (equivalent to 500 essay words)10 01, 02, 03, 04

Sydney, 2017, Study Period 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorHeidi Ryoo

Class requirements

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.

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*
AssignmentA project (equivalent to 500 essay words)10 01, 02, 03, 04
Mid semester exam1 hour written/MC exam20 01, 02, 03, 04
One 2-hour final examination2 hour written/MC exam 60 01, 02, 03, 04
Weekly HomeworkWeekly homework (equivalent to 500 essay words)10 01, 02, 03, 04