ECON 321 : Advanced Econometrics
Business and Economics
2020 Semester Two (1205) (15 POINTS)
Course Prescription
Course Overview
- Provide students a sound understanding of the properties of econometric models and techniques. Econometrics can be described as the science and art of building and using models in economics. More specifically, it is concerned with the use of statistical methods to attach numerical values to the parameters of economic models. With the use of these models, we aim to understand causal relationships and possibly make predictions. The techniques of econometrics consist of a blend of economic theory, mathematical modelling and statistical analysis.
- To prepare continuing students for progression into postgraduate economics programmes.
Course Requirements
Capabilities Developed in this Course
| Capability 1: | Disciplinary Knowledge and Practice |
| Capability 2: | Critical Thinking |
| Capability 3: | Solution Seeking |
Learning Outcomes
- Derive properties of some important estimators such as least squares, maximum likelihood and instrumental variables in a number of specific econometric modelling contexts (Capability 2)
- Analyse certain classes of single and multiple equation models, including those concerned with time series, qualitative choice, and panel data (Capability 3)
- Demonstrate ability to explain the essential features of certain linear econometric models by reference to specified definitions and concepts, and to carry out estimation, testing and simple computer simulations for these models. (Capability 1)
- Be able to understand the assumptions that underpin the classical regression model (Capability 1)
Assessments
| Assessment Type | Percentage | Classification |
|---|---|---|
| Assignments | 20% | Individual Coursework |
| Test | 30% | Individual Test |
| Final Exam | 50% | Individual Examination |
| 3 types | 100% |
| Assessment Type | Learning Outcome Addressed | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |||||||
| Assignments | ||||||||||
| Test | ||||||||||
| Final Exam | ||||||||||
Workload Expectations
This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.
For this course, you can expect 3 hours of lectures, a 1 hour tutorial.
For the 12 teaching weeks, this totals to 48 hours. Since the course as a whole represents approximately 150 hours of study, that leaves a total of 102 hours across the entire semester for independent study, e.g. reading, reflection, preparing for assessments/exams, etc.
Learning Resources
- J.M. Wooldridge, Introductory Econometrics (oldest compatible edition: 5th edition)
- J.H. Stock and M.W. Watson, Introduction to Econometrics (oldest compatible edition: 2nd edition)
- M. Verbeek, A Guide to Modern Econometrics (oldest compatible edition: 3nd edition).
- Johnston and J. DiNardo, Econometric Methods, 4th edition, 1997, McGraw-Hill.
- A.H. Studenmund, A Practical Guide To Econometrics, 7th edition, 2017, Pearson.
Other Information
Digital Resources
Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).
Please remember that the recording of any class on a personal device requires the permission of the instructor.
Academic Integrity
The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.
Inclusive Learning
All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.
Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website at http://disability.auckland.ac.nz
Special Circumstances
If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.
If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page: https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.
This should be done as soon as possible and no later than seven days after the affected test or exam date.
Student Feedback
At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.
Your feedback helps teachers to improve the course and its delivery for future students.
Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.
Student Charter and Responsibilities
The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter (https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html).
Disclaimer
Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.
In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.