Students

ECON6034 – Econometrics and Business Statistics

2021 – Session 2, Special circumstances

Session 2 Learning and Teaching Update

The decision has been made to conduct study online for the remainder of Session 2 for all units WITHOUT mandatory on-campus learning activities. Exams for Session 2 will also be online where possible to do so.

This is due to the extension of the lockdown orders and to provide certainty around arrangements for the remainder of Session 2. We hope to return to campus beyond Session 2 as soon as it is safe and appropriate to do so.

Some classes/teaching activities cannot be moved online and must be taught on campus. You should already know if you are in one of these classes/teaching activities and your unit convenor will provide you with more information via iLearn. If you want to confirm, see the list of units with mandatory on-campus classes/teaching activities.

Visit the MQ COVID-19 information page for more detail.

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Lecturer
Fazeel Mohamed Jaleel
fazeel.jaleel@mq.edu.au
4EaR 452
TBA
Credit points Credit points
10
Prerequisites Prerequisites
Admission to GradCertFin or GradDipAppFin or MAppEcon or MAppFin or MAppFin(Adv) or MkgFin or MBusAnalytics
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit is designed to bring students with no econometrics background to an intermediate level in econometrics. Starting from first principles, the unit outlines standard econometric methods to the extent necessary for students to understand key concepts, apply basic methods, and interpret empirical research results in economics, finance and business. The unit material also includes elementary discussions of violations of the standard assumptions for a regression model, such as autocorrelation and heteroscedasticity.

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: Apply basic statistical techniques to different economic and business problems.
  • ULO2: Evaluate and use appropriate econometric tools to model, estimate and forecast economic data.
  • ULO3: Apply research skills to select, compare and utilise econometric models.
  • ULO4: Utilise appropriate practices involved in today's working environment to work effectively in a group.

Assessment Tasks

Name Weighting Hurdle Due
Class Test 1 15% No Week 6 (During the lecture time)
Class Test 2 20% No Week 10 (During the lecture time)
Group assignment 30% No 10 AM-Week 13, Monday 1st November
Final examination 35% No University Examination Period.

Class Test 1

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 7.5 hours
Due: Week 6 (During the lecture time)
Weighting: 15%

 

A 75 minute test consisting of multiple-choice questions will be held during the lecture in week 6.

 
On successful completion you will be able to:
  • Apply basic statistical techniques to different economic and business problems.
  • Evaluate and use appropriate econometric tools to model, estimate and forecast economic data.

Class Test 2

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Week 10 (During the lecture time)
Weighting: 20%

 

A 75 minute test consisting of multiple-choice and short-answer questions will be held during the lecture in week 10.

 
On successful completion you will be able to:
  • Apply basic statistical techniques to different economic and business problems.
  • Evaluate and use appropriate econometric tools to model, estimate and forecast economic data.

Group assignment

Assessment Type 1: Qualitative analysis task
Indicative Time on Task 2: 15 hours
Due: 10 AM-Week 13, Monday 1st November
Weighting: 30%

 

The assignment will require students to critically analyse some sets of data using the econometric software and regression models (including time-series and cross-sectional data). The group will estimate a variety of different models, compare and contrast the outcomes, and assess the suitability of the models for the analysis.

 
On successful completion you will be able to:
  • Apply basic statistical techniques to different economic and business problems.
  • Evaluate and use appropriate econometric tools to model, estimate and forecast economic data.
  • Apply research skills to select, compare and utilise econometric models.
  • Utilise appropriate practices involved in today's working environment to work effectively in a group.

Final examination

Assessment Type 1: Examination
Indicative Time on Task 2: 17.5 hours
Due: University Examination Period.
Weighting: 35%

 

A 1-hour-and-40-minutes' open-book examination will be held during the University Examination Period, and will consist of multiple-choice and short-answer questions.

 
On successful completion you will be able to:
  • Apply basic statistical techniques to different economic and business problems.
  • Evaluate and use appropriate econometric tools to model, estimate and forecast economic data.
  • Apply research skills to select, compare and utilise econometric models.

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

This unit is taught as a mix of tutorials and lectures. The lectures are designed to introduce the underlying knowledge in probability, statistics and econometrics, and to explain the methods which will be used to analyse and interpret data. Tutorials are based mainly on numerical problems which allow students to practice and understand the methods taught in the lectures. The tutorials include empirical applications which require the use of econometric software packages.

Lectures are intended to provide an overview of statistical and econometrics techniques that are critical to the core themes of the unit. Students are expected to read the relevant material before each lecture.

Tutorials (1 hour per week) will go through assigned problems which may be mathematical exercises, or which may require use of the econometric software  to estimate a model.

Self-study activities – learning by doing (You are expected to spend about 6 hours each week during the semester and 9 hours each week during the mid-semester recess)

ECON6034 relies heavily on independent learning where students read the lecture notes, relevant chapters from useful text books and prepare answers to the pre-set tutorial questions.

Useful but not required texts include:

  1. Hill, C. H., Griffiths, W. E. and Lim, G. C. (2011) Principles of Econometrics (4th ed.) Wiley -- Available online through our library: http://ebookcentral.proquest.com.simsrad.net.ocs.mq.edu.au/lib/MQU/ detail.action?docID=4806586

  2. Gujarati, N. G. and Porter, D. C. (2009) Essentials of Econometrics, 4th Edition, McGraw-Hill

  3. Keller, Gerald (2014) Statistics for Management and Economics (10th, ed.), Cengage Learning.

  4. Stock, J. H. and Watson, M. W. (2014) Introduction to Econometrics, 3rd Edition, Pearson

 

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 ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

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 2021.03 of the Handbook