Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group activities on campus, and most will keep an online version available to those students unable to return or those who choose to continue their studies online.
To check the availability of face-to-face and online activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Roselyne Joyeux
|
---|---|
Credit points |
Credit points
10
|
Prerequisites |
Prerequisites
ECON634 or ECON6034
|
Corequisites |
Corequisites
|
Co-badged status |
Co-badged status
|
Unit description |
Unit description
The objective of this unit is to enable students with basic statistical knowledge to upgrade their understanding to a practical level where they can apply their knowledge of econometrics to empirical analysis. By successfully completing this unit, students should be 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. The final part introduces the interesting discrete-choice models. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
The assignment question will be made available on the unit homepage about 3-4 weeks before the due date. The assignment question sheet will include instructions that must be followed closely. There are no set minimum or maximum lengths for the assignment. However, assignments should be completed and typed using a word-processing program. No extension will be granted. Late submissions will be accepted up to three days after the submission deadline. There will be a deduction of 10% of the total available marks made from the total awarded marks for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved.
A two-hour exam to be completed in a six hour window will be held during the end of session formal examination period, and will consist of short answer questions that require both calculations and written responses.
The mid‐semester test will be an online open‐book quiz with randomized questions in Week 6. It counts 20% towards the final grade. The duration of the quiz session will be one hour.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Final examination online | 50% | No | During the end of session formal examination period |
Assignment | 30% | No | week 11 |
Class test online | 20% | No | Week 6 |
Assessment Type 1: Examination
Indicative Time on Task 2: 20 hours
Due: During the end of session formal examination period
Weighting: 50%
An online and open book two-hour exam will be held during the end of session formal examination period.
Assessment Type 1: Report
Indicative Time on Task 2: 15 hours
Due: week 11
Weighting: 30%
The completed assignment is due in week 11. The assignment question sheet will be available approximately 4 weeks before the due date.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Week 6
Weighting: 20%
The quiz assesses the work covered in lectures up to the submission deadline, and consists of a set of questions to be answered on iLearn.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Each week’s Lecture will be recorded using Zoom, and will be uploaded to the iLearn space before an online meeting that will be scheduled at the normal lecture time (i.e. starting at 6 pm, Monday). The online (Zoom) meetings will be used for questions and discussions on the uploaded topic. The meeting will last up to one hour.
Tutorial questions will be made available on the iLearn space. Detailed solutions will be provided. The online meetings will also be used for questions and discussions on tutorial questions.
The recommended texts for the unit are
J.M. Wooldridge, M. Wadud, J. Lye, and R. Joyeux (2021) Introductory Econometrics: Asia-Pacific Edition, 2nd ed., Cengage
and/or
R. Carter Hill, W.E. Griffiths, and G.C. Lim (2018) Principles of Econometrics, 5th ed., John Wiley & Sons
Lecture slides will be provided on the unit home page.
Useful information and some course material will be made available on the learning management system (iLearn): ilearn.mq.edu.au. Visit the homepage regularly for new information, course material and announcements.
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.
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 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
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
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.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
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
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