Students
ECON8040 – Applied Econometrics
2021 – Session 1, Special circumstances
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.
General Information
Download as PDF
| 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. |
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
Assignment
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.
Final Examination Online
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.
Class Test Online
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.
Assessment Tasks
| 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 |
Final examination online
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.
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: 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.
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.
- Critically analyse the econometric methods covered in the unit.
Class test online
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.
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.
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
Lectures
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.
Tutorials
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.
Required and Recommended Texts and/or Materials
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.
Technology Used and Required
- Students will require a non-programmable calculator for exercises, test and the final examination. Students will also require access to a computer, on which the following programs are installed.
- Gretl: It is free, open-source software. Visit the Gretl website: http://gretl.sourceforge.net/, and choose the operating system of your computer from the menu on the left-hand side. Download and install the program onto the computer. Download also the manual and all the data for practice. Students are required to be able to use this program to answer exercise, test and assignment questions. Students are also required to understand its outputs.
- An internet browser, such as Firefox or Internet Explorer, to access iLearn.
- Adobe Acrobat Reader: to read course material downloaded from iLearn. This program can be downloaded from http://www.adobe.com/downloads/.
Unit web 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.
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
- Grade Appeal Policy
- Complaint Management 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 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