Students

ECON8040 – Applied Econometrics

2024 – Session 1, Online-scheduled-weekday

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor, Lecturer, Tutor
Chris Heaton
chris.heaton@mq.edu.au
Contact via chris.heaton@mq.edu.au
04EaR-436
TBA on iLearn
Tutor
Colin Bowers
colin.bowers@mq.edu.au
Contact via colin.bowers@mq.edu.au
TBA on iLearn
Tutor
Dylan Thompson
dylan.thompson@mq.edu.au
Contact via dylan.thompson@mq.edu.au
TBA on iLearn
Credit points Credit points
10
Prerequisites Prerequisites
ECON634 or ECON6034 or STAT6175
Corequisites Corequisites
Co-badged status Co-badged status
ECON7035
Unit description Unit description

This unit enables students with basic statistical knowledge to upgrade their understanding to a practical level where they can apply knowledge of econometrics to empirical analysis. By successfully completing this unit, students are able to develop an econometric model suitable for the objective of their analysis, estimate the model using an appropriate estimation method, and draw valid inferences from the estimation results. The unit starts with a brief review of the standard multiple linear regression model and the OLS estimation method. It then relaxes the standard assumptions and investigates alternative estimation methods that are valid under the new circumstances.

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: Develop an econometric model suitable for the objective of analysis.
  • ULO2: Estimate the model using an appropriate estimation method.
  • ULO3: Interpret the estimation results and draw valid inferences.
  • ULO4: Critically analyse the econometric methods covered in the unit.

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
Lecture interaction 10% No Weekly from Week 2
Tutorial Exercises 20% No Weekly from Week 2
Take home test 50% No Week 8 and Week 12
Assignment 20% No Week 14

Lecture interaction

Assessment Type 1: Participatory task
Indicative Time on Task 2: 5 hours
Due: Weekly from Week 2
Weighting: 10%

 

Lecture will include embedded exercises that engage students in the material being taught and ensure that students grasp essential concepts.

 
On successful completion you will be able to:
  • Interpret the estimation results and draw valid inferences.
  • Critically analyse the econometric methods covered in the unit.

Tutorial Exercises

Assessment Type 1: Problem set
Indicative Time on Task 2: 10 hours
Due: Weekly from Week 2
Weighting: 20%

 

A weekly assessment (from Week 2) that covers material from previous lectures, with an emphasis on the most recent work, and ensures acquisition of the concepts and skills necessary to understand and apply the unit material.

 
On successful completion you will be able to:
  • Interpret the estimation results and draw valid inferences.
  • Critically analyse the econometric methods covered in the unit.

Take home test

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 20 hours
Due: Week 8 and Week 12
Weighting: 50%

 

Two diagnostic tests (worth 25% each) of technical skills and applied knowledge acquired in the unit up until the week of the test.

 
On successful completion you will be able to:
  • Develop an econometric model suitable for the objective of analysis.
  • Interpret the estimation results and draw valid inferences.
  • Critically analyse the econometric methods covered in the unit.

Assignment

Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 15 hours
Due: Week 14
Weighting: 20%

 

A written report comprising the application of technical skills and theoretical concepts acquired in the unit to a given economic problem

 
On successful completion you will be able to:
  • Develop an econometric model suitable for the objective of analysis.
  • Estimate the model using an appropriate estimation method.
  • Interpret the estimation results and draw valid inferences.

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:

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.

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:

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