Course Outline

BUS305 Econometrics

Course Coordinator:Sajid Anwar (sanwar@usc.edu.au) School:School of Business and Creative Industries

2026Trimester 2

UniSC Sunshine Coast

Blended learning Most of your course is on campus but you may be able to do some components of this course online.

Online

Online You can do this course without coming onto campus, unless your program has specified a mandatory onsite requirement.

Please go to unisc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.

What is this course about?

Description

You will learn to use econometric software to conduct your own empirical analyses using multiple regression techniques. You will also deepen your understanding of key practical aspects of regression modeling, including the consequences of violating regression assumptions, the use of dummy variables, alternative functional forms, and an introduction to time-series and panel data models.

How will this course be delivered?

Activity Hours Beginning Week Frequency
Blended learning
Learning materials – Interactive online learning activities. 1hr Week 1 12 times
Tutorial/Workshop 1 – Scheduled face to face workshops. 2hrs Week 1 12 times
Online
Learning materials – Interactive online learning activities. 1hr Week 1 12 times
Tutorial/Workshop 1 – Scheduled online workshops (Recorded). 2hrs Week 1 12 times

Course Topics

Introduction to the linear regression model and using a statistical package

Functional forms of regression models

Qualitative vs quantitative explanatory variables

Multicollinearity, heteroscedasticity, autocorrelation, and specification errors

The logit and probit models

Panel regression models

Stationarity and cointegration

What level is this course?

300 Level (Graduate)

Demonstrating coherence and breadth or depth of knowledge and skills. Independent application of knowledge and skills in unfamiliar contexts. Meeting professional requirements and AQF descriptors for the degree. May require pre-requisites where discipline specific introductory or developing knowledge or skills is necessary. Normally undertaken in the third or fourth full-time study year of an undergraduate program.

What is the unit value of this course?

12 units

How does this course contribute to my learning?

Course Learning Outcomes On successful completion of this course, you should be able to... Graduate Qualities Mapping Completing these tasks successfully will contribute to you becoming... Professional Standard Mapping * Competencies from multiple Professional Bodies (see below) *
1 Frame problems in terms of core economic concepts using the fundamentals tools of econometrics and their application to testing economic theories. Knowledgeable
Creative and critical thinker
Empowered
PC1.1, PC1.3, PC3.1, PC6.2
2 Implement basic empirical techniques and interpret the results using a standard statistical package to analyse various types of economic problems. Knowledgeable
Creative and critical thinker
Empowered
PC1.1, PC1.3, PC3.1, PC6.2
3 Use appropriate economic data and statistical methods to conduct independent econometric analysis, as well as present a clear and coherent exposition and appraise the outcome of that analysis. Knowledgeable
Creative and critical thinker
Empowered
PC1.1, PC3, 5.3.4, 5.3.5, PC6

* Competencies by Professional Body

CODE COMPETENCY
Association to Advance Collegiate Schools of Business
PC1.1 Written Communication
PC1.3 Digital Literacy
PC3 Creative and Critical Thinking
PC3.1 Problem Solving
PC6 Career-ready
PC6.2 Discipline Knowledge
Education for Sustainable Development Goals
5.3.4 The learner is able to observe and identify gender discrimination.
5.3.5 The learner is able to plan, implement, support and evaluate strategies for gender equality.

Am I eligible to enrol in this course?

Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.

Pre-requisites

BUS201 or BUS202

Co-requisites

Not applicable

Anti-requisites

Not applicable

Specific assumed prior knowledge and skills (where applicable)

Not applicable

Microcredential Information

Not applicable

How am I going to be assessed?

Grading Scale

Standard Grading (GRD)

High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL).

Details of early feedback on progress

Hands-on exercises in using statistical software will start in Week 1 with feedback provided orally in class and in written form by means of model programs and results supplied on Canvas.

Assessment tasks

Delivery mode Task No. Assessment Product Individual or Group Weighting % What is the duration / length? When should I submit? Where should I submit it?
All 1 Written Piece Individual 50%
1500 words
Week 7 Online Assignment Submission with plagiarism check
All 2 Report Individual 50%
1500 words (excluding graphs, tables and references)
Week 12 Online Assignment Submission with plagiarism check
All - Assessment Task 1:Problem set
Goal:
To use statistical software to summarise and interpret both descriptive and basic inferential statistics, and to apply and analyse the findings from a range of econometric models.
Product: Written Piece
Authorship Statement:
Format:
Work must be completed individually. Written answers should summarise key information using tables and/or graphs generated with statistical software, supported by a clear and concise written explanation. Further details are provided in the assessment area on Canvas.
Criteria:
No. Learning Outcome assessed
1
Accuracy of formulation of problem.
1 2
2
Clarity of communication of method used and interpretation of results
2
3
Correctness of answers
2
4
Application of suitable statistical methods with clear visual presentation and insightful analysis of results.
1
Generic Skills:
Communication, Problem solving, Applying technologies, Information literacy
All - Assessment Task 2:Applied project
Goal:
To present a clear and coherent exposition of ideas and empirical evidence by completing an applied project using an econometrics software package.
Product: Report
Authorship Statement:
Format:
The report will include a justification of the methods chosen, interpretation and analysis of the empirical results and discussion of limitations.
Focus will be on methods from later parts of the course. Further details are provided in the assessment area in Canvas.
Criteria:
No. Learning Outcome assessed
1
Knowledge of appropriate methods and models to analyse a problem in an economic
context.
3
2
Demonstrate critical thinking in the estimation and interpretation of appropriate
econometric models.
3
3
Demonstrate reflective thinking relating to limitations and potential improvements to
analysing the given problem.
3
Generic Skills:
Communication, Problem solving, Organisation, Applying technologies, Information literacy

Assessment to competency mapping

Programme Delivery Mode Assessment Type Title Competency Teaching Methods
2020 UniSC Business School Standards Undergraduate
All delivery modes Report Applied project PC1.1 Assessed
PC1.3 Taught, Practiced, Assessed
PC3.1 Taught, Practiced, Assessed
PC6.2 Taught, Practiced, Assessed
Written Piece Problem set PC1.1 Assessed
PC1.3 Taught, Practiced, Assessed
PC3.1 Taught, Practiced, Assessed
PC6.2 Taught, Practiced, Assessed

Directed study hours

A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.

What resources do I need to undertake this course?

Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.

Prescribed text(s) or course reader

You need regular access to the resource(s) below. Many texts are available as ebooks through the Library at no additional cost.

Required? Author Year Title Edition Publisher
Recommended Damodar Gujarati 2017 Econometrics by Example 2nd Bloomsbury Publishing

Specific requirements

Access to a computer.
Student version of an econometric software package (available for free download).

How are risks managed in this course?

Health and safety risks for this course have been assessed as low. It is your responsibility to review course material, search online, discuss with lecturers and peers and understand the health and safety risks associated with your specific course of study and to familiarise yourself with the University’s general health and safety principles by reviewing the online induction training for students, and following the instructions of the University staff.

What administrative information is relevant to this course?

Assessment: Academic Integrity

Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.

Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.

In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.

Assessment: Additional Requirements

Eligibility for Supplementary Assessment

Your eligibility for supplementary assessment in a course is dependent of the following conditions applying:
(a) The final mark is in the percentage range 47% to 49.4%; and
(b) The course is graded using the Standard Grading scale

Assessment: Submission penalties

Late submissions may be penalised up to and including the following maximum percentage of the assessment task’s identified value, with weekdays and weekends included in the calculation of days late:
(a) One day: deduct 5%;
(b) Two days: deduct 10%;
(c) Three days: deduct 20%;
(d) Four days: deduct 40%;
(e) Five days: deduct 60%;
(f) Six days: deduct 80%;
(g) Seven days: A result of zero is awarded for the assessment task.

The following penalties will apply for a late submission for an online examination:
Less than 15 minutes: No penalty
From 15 minutes to 30 minutes: 20% penalty
More than 30 minutes: 100% penalty

Links to relevant University policy and procedures

For more information on Academic Learning & Teaching categories including:

  • Assessment: Courses and Coursework Programs
  • Review of Assessment and Final Grades
  • Supplementary Assessment
  • Central Examinations
  • Deferred Examinations
  • Student Conduct
  • Students with a Disability

For more information, visit https://www.usc.edu.au/explore/policies-and-procedures#academic-learning-and-teaching

Student Charter

UniSC is committed to excellence in teaching, research and engagement in an environment that is inclusive, inspiring, safe and respectful. The Student Charter sets out what students can expect from the University, and what in turn is expected of students, to achieve these outcomes.

General Enquiries

For course-specific questions, contact your teaching staff or Course Coordinator.  

For other enquiries or to access support, please contact Student Central: