Students
ECON2041 – Introductory Econometrics
2024 – Session 2, In person-scheduled-weekday, North Ryde
General Information
Download as PDF
| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor, Lecturer, Tutor
Chris Heaton
Contact via chris.heaton@mq.edu.au
04EaR 436
TBA on iLearn
Tutor
Fazeel Mohamed Jaleel
Tutor
Syed Atif
Tutor
Suleman Ghani Khan
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
STAT150 or STAT1250 or STAT170 or STAT1170 or STAT171 or STAT1371
|
| Corequisites |
Corequisites
|
| Co-badged status |
Co-badged status
|
| Unit description |
Unit description
This unit introduces the main econometric techniques used by businesses and economists in the analysis of economic relationships, marketing and finance. These tools are critical building blocks for students to make the link between data and established evidence. The unit focuses on estimation and hypothesis testing, simple and multiple regression, prediction and the interpretation and evaluation of regression models within the classical linear regression model. |
Important Academic Dates
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
Learning Outcomes
On successful completion of this unit, you will be able to:
- ULO1: Analyse and apply key statistical concepts, including probability distributions, parameters and estimators, the sampling distribution of an estimator, point and interval estimation, and hypothesis testing.
- ULO2: Specify, estimate and interpret a regression model.
- ULO3: Summarise and interpret the estimation results, and draw valid inferences utilising hypothesis tests.
- ULO4: Critically evaluate the assumptions of a classical (or standard) regression model and the consequences of a violation of the assumptions.
- ULO5: Employ an econometric software program to solve an econometric problem.
General Assessment Information
Late Assessment Submission Penalty (written assessments)
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11.55pm. A 1-hour grace period is provided to students who experience a technical concern.
For any late submissions of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| Tutorial exercises | 10% | No | Weekly (from Week 2) |
| Assignment 1 | 20% | No | Week 8 |
| Assignment 2 | 20% | No | Week 12 |
| Final examination | 50% | No | Exam Period |
Tutorial exercises
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Weekly (from Week 2)
Weighting: 10%
Each tutorial assessment covers material from previous lectures, with an emphasis on the most recent work.
On successful completion you will be able to:
- Specify, estimate and interpret a regression model.
- Summarise and interpret the estimation results, and draw valid inferences utilising hypothesis tests.
- Employ an econometric software program to solve an econometric problem.
Assignment 1
Assessment Type 1: Problem set
Indicative Time on Task 2: 16 hours
Due: Week 8
Weighting: 20%
A set of questions requiring both calculation and short written answers. It will be based on material covered in the lectures prior to the submission deadline.
On successful completion you will be able to:
- Specify, estimate and interpret a regression model.
- Summarise and interpret the estimation results, and draw valid inferences utilising hypothesis tests.
- Employ an econometric software program to solve an econometric problem.
Assignment 2
Assessment Type 1: Problem set
Indicative Time on Task 2: 16 hours
Due: Week 12
Weighting: 20%
A set of questions requiring both calculation and short written answers. It will be based on material covered in the lectures prior to the submission deadline.
On successful completion you will be able to:
- Specify, estimate and interpret a regression model.
- Summarise and interpret the estimation results, and draw valid inferences utilising hypothesis tests.
- Employ an econometric software program to solve an econometric problem.
Final examination
Assessment Type 1: Examination
Indicative Time on Task 2: 35 hours
Due: Exam Period
Weighting: 50%
A two-hour examination, consisting of short answer questions that require both calculation and written responses, will be held during the University Examination Period
On successful completion you will be able to:
- Analyse and apply key statistical concepts, including probability distributions, parameters and estimators, the sampling distribution of an estimator, point and interval estimation, and hypothesis testing.
- Summarise and interpret the estimation results, and draw valid inferences utilising hypothesis tests.
- Critically evaluate the assumptions of a classical (or standard) regression model and the consequences of a violation of the assumptions.
1 If you need help with your assignment, please contact:
- the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
- the Writing Centre for academic skills support.
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Delivery and Resources
See iLearn.
Policies and Procedures
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
- Academic Appeals Policy
- Academic Integrity Policy
- Academic Progression Policy
- Assessment Policy
- Fitness to Practice Procedure
- Assessment Procedure
- Complaints Resolution Procedure for Students and Members of the Public
- Special Consideration Policy
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Student Code of Conduct
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Academic Integrity
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Student Support
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
- Workshops
- Chat with a WriteWISE peer writing leader
- Access StudyWISE
- Upload an assignment to Studiosity
- Complete the Academic Integrity Module
The Library provides online and face to face support to help you find and use relevant information resources.
Student Services and Support
Macquarie University offers a range of Student Support Services including:
- IT Support
- Accessibility and disability support with study
- Mental health support
- Safety support to respond to bullying, harassment, sexual harassment and sexual assault
- Social support including information about finances, tenancy and legal issues
- Student Advocacy provides independent advice on MQ policies, procedures, and processes
Student Enquiries
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
IT Help
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2024.02 of the Handbook