Unit convenor and teaching staff |
Unit convenor and teaching staff
Colin Bowers
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
ECON241 or ECON2041 or STAT272 or STAT2372
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit provides an introduction to modern econometric techniques. Its principal objectives are to extend knowledge beyond the classical regression model and to develop literacy in methods that are commonly used to analyse data in economics, finance and business. The topics covered may include: heteroscedasticity, stochastic regressors, limited dependent variables, time-series regression and panel data analysis. This unit will be of value to any students who are interested in how useful information may be inferred from economic data in a statistically valid way. |
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:
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.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Tutorial exercises | 15% | No | Weeks 3, 5, 7, 9, and 11 |
Mid-session Test | 15% | No | Week 8 |
Assignment | 20% | No | Week 13 |
Final exam | 50% | No | Examination period |
Assessment Type 1: Problem set
Indicative Time on Task 2: 5 hours
Due: Weeks 3, 5, 7, 9, and 11
Weighting: 15%
Tutorial exercise quiz in W3 is weighted 5% and designed to ensure that you quickly review key concepts in maths and statistics taught in prerequisite units which will be necessary for you to progress through the new material in this unit; the remaining Tutorial exercise quizzes in W5, 7, 9, 11 are worth 2.5% each. Each quiz will be a problem set to be completed at the end of the week in a designated time window. The tutorial classes will help you prepare for the quizzes.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 3 hours
Due: Week 8
Weighting: 15%
The test assesses the work covered in lectures up to the submission deadline, and consists of a set of questions to be answered on iLearn. It may consist of true-false, multiple choice, numerical and simple answer questions.
Assessment Type 1: Modelling task
Indicative Time on Task 2: 19 hours
Due: Week 13
Weighting: 20%
Students will be given an applied econometric problem to work on and will be required to submit a written report on their investigation of the problem. Students may also be required to submit relevant computer files.
Assessment Type 1: Examination
Indicative Time on Task 2: 50 hours
Due: Examination period
Weighting: 50%
A two-hour examination, consisting of multiple choice, numerical, and short answer questions, will be held during the University Examination Period.
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
Unit Webpage
Useful information and the course material will be made available on the learning management system (iLearn). Visit the homepage regularly for new information, course material and announcements.
Technologies used
Recommended Texts
Woodridge, Jeffrey M., Introductory Econometrics: A Modern Approach, 7th edition
The text is available online via MQ Library. Each week will include a recommended reading from the textbook. This is not required, however, some students may find it provides additional insights.
Other Materials
Material such as lecture slides and recordings, examples, datasets, etc will be made available on the unit web site as the unit progresses.
Learning and Teaching Activities
This unit is taught as a mix of lectures and tutorials. The lectures are designed to provide a description of the econometric tools and techniques necessary for this unit and the theory of statistics which supports them. The lectures include numerous examples of the use of the tools in applied problems. Students can reinforce their learning by solving applied problems using the same tools in tutorials and in their own private study. ECON2032 relies heavily on independent learning where students read the relevant chapter(s), revise lecture notes, and practice the techniques by attempting the tutorial questions.
Pre-recorded Lectures (Online, 1-2 hours for each week)
Pre-recorded lectures provide an overview of the key concepts and the framework for each topic. Students are expected to familiarise themselves with the key concepts before attending live lectures. Pre-recorded lectures will be available on iLearn. Any material contained in pre-recorded lectures should be considered examinable.
Live Lectures (Online, 1 hour for each week)
Live lectures will provide a review of selected concepts and material from the pre-recorded lectures, as well as additional demonstrations of the use of the econometric software in applied problems. It is also an opportunity for students to provide feedback on their understanding of the concepts. Students are expected to deepen their understanding of the topic via live lectures. Links to live lectures will be available on iLearn.
Tutorials (Online or Face-to-Face, 1 hour for each week from week 2)
Tutorials will be held weekly, starting from Week 2, and may be either online or face-to-face. Students must register in a tutorial class and generally will not be permitted to attend a tutorial class other than the one in which they are registered. Changes to tutorial enrolments may only be made using the online system subject to available capacity. The Unit Convenor cannot make enrolment changes on behalf of students. Changes to tutorial enrolments generally take up to 24 hours to be reflected on iLearn.
Each tutorial will consist of a set of practice questions, posted on ilearn at the end of each week in preparation for the following week. That is, Tutorial 1 will be posted on Friday of Week 1, in preparation for the first tutorial, which will occur in Week 2. Students should attempt the questions prior to their allocated tutorial hour.
During the tutorial hour, the tutor will demonstrate how to complete the practice questions, as well as provide assisstance to any specific issues that students may have had with the questions. Students are also welcome to work through the tutorial questions with the tutor present during the tutorial hour.
It is worth emphasizing that the tutorial exercises quizzes, mid-session test, and final exam, will all be based heavily on type and style of practice questions covered in the tutorials. Students are likely to find that the best form of study for this course is to attend the tutorials and ensure they are comfortable with all the practice questions covered therin.
Outside the tutorials, the best way to get help with a problem is to post it on the online discussion forum.
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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
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Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
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Unit information based on version 2023.04 of the Handbook