ECON 321 : Advanced Econometrics

Business and Economics

2021 Semester Two (1215) (15 POINTS)

Course Prescription

Development of the linear regression model, its basis, problems, applications and extensions: demand systems, time-series analysis including unit roots and co-integration, simulation and resampling methods including an exposure to practical computing classes.

Course Overview

This course provides students with 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.

Course Requirements

Prerequisite: 15 points from ECON 221, STATS 201, 207, 208, 210, 225 and 15 points from ENGGEN 150, ENGSCI 111, MATHS 108, 130, 150, 153

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Graduate Profile: Bachelor of Commerce

Learning Outcomes

By the end of this course, students will be able to:
  1. 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)
  2. Analyse certain classes of single and multiple equation models, including those concerned with time series, qualitative choice, and panel data (Capability 3)
  3. Communicate and explain the essential features of certain linear econometric models through estimation and testing. (Capability 1)
  4. Understand and critically evaluate the assumptions that underpin the classical regression model (Capability 1)

Assessments

Assessment Type Percentage Classification
Assignments 30% Individual Coursework
Test 30% Individual Test
Final Exam 40% Individual Examination
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.

Delivery Mode

Campus Experience

Attendance is expected at scheduled activities including labs/tutorials to complete components of the course.
Lectures will be available as recordings. Other learning activities including tutorials/labs will not be available as recordings.
The course will not include live online events.
Attendance on campus is required for the test/exam.
The activities for the course are scheduled as a block delivery.

Learning Resources

Recommended books:
  • J.H. Stock and M.W. Watson, Introduction to Econometrics (oldest compatible edition: 2nd edition)
  • J.M. Wooldridge, Introductory Econometrics (oldest compatible edition: 5th 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.


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.

Other Information

This    course builds on ECON 221 and leads    on    to    the    econometrics postgraduate    courses    ECON    721 (Econometrics 1), ECON 723 (Econometrics 2). Students require ECON 301 (Advanced Microeconomics), ECON 311 (Advanced Macroeconomics) as well as ECON 321 before embarking on postgraduate study in Economics for the BA(Hons), BCom(Hons), and  MA,  MCom degrees.    Students should also note that econometrics at this level requires a reasonable level of mathematical expertise.


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 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.

Learning Continuity

In the event of an unexpected disruption we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and your assessment is fair, and not compromised. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator, and if disruption occurs you should refer to the University Website for information about how to proceed.

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.

Published on 03/12/2020 08:55 a.m.