Students

ECON2032 – Intermediate Econometrics

2025 – Session 2, Online-scheduled-In person assessment, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff
Hanbat Jeong
hanbat.jeong@mq.edu.au
Credit points Credit points
10
Prerequisites Prerequisites
ECON241 or ECON2041 or STAT272 or STAT2372 or STAT171 or STAT1371 or STAT270 or STAT2170 or STAT273 or STAT2173 or STAT271 or STAT2371
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit covers econometric techniques that go beyond the classical regression model. It helps students to develop literacy in important methods commonly used to analyse data in economics, finance and business environments. The topics covered may include heteroscedasticity, stochastic regressors, limited dependent variables, time-series regression and panel data analysis.

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: Identify and describe econometric concepts and theories.
  • ULO2: Estimate econometric models and test parametric hypotheses using techniques that are appropriate for the problem at hand.
  • ULO3: Diagnose and resolve problems relating to the violation of standard assumptions in econometric models, and make conclusions and recommendations.
  • ULO4: Critique the appropriateness of alternative econometric techniques in practical applications to appropriate problems.

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 11.55 pm. 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
Skills Development: Quizzes 30% No Weeks 3, 7, 10
Professional Practice: Applied Econometrics Modelling 20% No October 31 (Friday) 11.55pm
Formal and Observed Learning: Exam 50% No University Examination Week

Skills Development: Quizzes

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 9 hours
Due: Weeks 3, 7, 10
Weighting: 30%

 

The purpose of this assessment is for you to develop the ability to apply intermediate-level statistical techniques and evaluate appropriate econometric tools to model and estimate economic data. You will be given three quizzes that cover blocks of content throughout the session.

Skills in focus:

  • Discipline knowledge
  • Applied knowledge
  • Problem solving

Deliverable: Three quizzes.

This is an individual assessment.

 
On successful completion you will be able to:
  • Identify and describe econometric concepts and theories.
  • Estimate econometric models and test parametric hypotheses using techniques that are appropriate for the problem at hand.

Professional Practice: Applied Econometrics Modelling

Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 18 hours
Due: October 31 (Friday) 11.55pm
Weighting: 20%

 

The purpose of this case study is for you to develop skills to critically analyse real data using econometric software and regression models, in order to make a reasonable data-driven decision based on the theory studied in this course. You will be given an applied econometric problem to work on and will be required to submit a written report on your investigation of the problem. You may be required to submit relevant computer files.

Skills in focus:

  • Problem solving
  • Critical thinking
  • Discipline knowledge
  • Problem solving 
  • Work readiness

Deliverable: Written Report (Max 1,000 words).

Individual assessment.

 
On successful completion you will be able to:
  • Identify and describe econometric concepts and theories.
  • Estimate econometric models and test parametric hypotheses using techniques that are appropriate for the problem at hand.
  • Diagnose and resolve problems relating to the violation of standard assumptions in econometric models, and make conclusions and recommendations.
  • Critique the appropriateness of alternative econometric techniques in practical applications to appropriate problems.

Formal and Observed Learning: Exam

Assessment Type 1: Examination
Indicative Time on Task 2: 50 hours
Due: University Examination Week
Weighting: 50%

 

The purpose of this assessment is for you to demonstrate the expertise you have gained in this unit. You will participate in a 2-hour, on-campus, closed-book exam held during the University Examination period. Important information about the exam will be made available on the unit iLearn page.

You should also review the MQ Exams website for general tips: https://students.mq.edu.au/study/assessment-exams/exams.

 
On successful completion you will be able to:
  • Identify and describe econometric concepts and theories.
  • Estimate econometric models and test parametric hypotheses using techniques that are appropriate for the problem at hand.
  • Diagnose and resolve problems relating to the violation of standard assumptions in econometric models, and make conclusions and recommendations.

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

Delivery format

Two hours of face-to-face lecture

One hour of face-to-face or online tutorial

Each week, there will be two hours of face-to-face lectures. Also, weekly one-hour tutorials will be held to review assigned problems. The problems covered in the tutorial sessions will reinforce the topics discussed in the main lectures.

REQUIRED AND RECOMMENDED TEXTS AND/OR MATERIALS

Wooldridge, Jeffrey M., Introductory Econometrics: A Modern Approach, 7th edition,

  The textbook is available online via the Macquarie University Library. As the unit progresses, material such as lecture slides, examples, etc., will be made available on the unit website.

TECHNOLOGIES USED AND REQUIRED

The main software package used is Gretl. It is free and open-source, and available on Windows, Mac, or Linux. Students will need to install Gretl on their personal computers. Visit the Gretl website:

https://gretl.sourceforge.net/

choose an operating system from the left-hand side of the page, and follow the download and installation instructions.

EMAIL USE

It is University policy that the University issued email account will be used for official University communication. All students are required to access their University account frequently. Only contact Macquarie University staff (including tutors), using your official MQ student’s account because this is one method used to verify your identity.  

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/

Academic Success

Academic Success 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 2025.04 of the Handbook