• Class Number 7484
  • Term Code 2960
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Thomas Tao Yang
  • LECTURER
    • Dr Thomas Tao Yang
  • Class Dates
  • Class Start Date 22/07/2019
  • Class End Date 25/10/2019
  • Census Date 31/08/2019
  • Last Date to Enrol 29/07/2019
SELT Survey Results

The course studies important extensions of the linear regression model. Topics include: endogeneity, binary dependent variables, time series regressions and panel data estimation. This is a hand-on course with a focus on applications in economics as well as business. A standard statistical software will be used during computer sessions, no special programming skills are required.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. demonstrate an understanding of the challenges of empirical modelling in economics and business
  2. demonstrate an understanding of the shortcomings of the standard linear regression model
  3. apply important extensions to the linear regression model
  4. express new econometric methods mathematically
  5. demonstrate clarity of thought regarding the relationship between data, model and estimation in econometrics
  6. use statistical software to study actual data sets

Research-Led Teaching

This course deals in more challenging problems in Econometrics, especially those hot topics in modern research of Econometrics. The topics included in the course outline, such as IV estimation and Panel data estimation, are good starting points.

Introduction to Econometrics, Global Edition, by J. H. Stock and M. W. Watson. Available in the Chifley Library on 2-hr reserve.

Staff Feedback

Students will be given feedback in the following forms in this course:
  • Written comments
  • Verbal comments
  • Feedback to the whole class, to groups, to individuals, focus groups

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Class Schedule

Week/Session Summary of Activities Assessment
1 Review of Econometrics I Exercise
2 Instrumental Variables Estimation Exercise and computer lab
3 Binary Dependent Variable Exercise and computer lab
4 Panel Data Estimation Exercise and computer lab

Tutorial Registration

You are expected to attend one tutorial each week from Week 2 onwards. You must enrol in a tutorial using the Wattle site for this course, and attend the tutorial in which you are enrolled. A selection of tutorials will be open for enrolment prior to the beginning of the semester - the remaining tutorials will be open in week 1 of Semester. When tutorials are available for enrolment, follow these steps:


1.   Log on to Wattle, and go to the course site

2.   Click on the link “Tutorial enrolment”

3.   On the right of the screen, click on the tab “Become Member of…..” for the tutorial class you wish to enter

4.   Confirm your choice


If you need to change your enrolment, you will be able to do so by clicking on the tab “Leave group….” and then re-enrol in another group. You will not be able to enrol in groups that have reached their maximum number. Please note that enrolment in ISIS must be finalised for you to have access to Wattle.


Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Assignment 1 5 % 09/08/2019 16/08/2019 1,2,3
Assignment 2 5 % 30/08/2019 06/09/2019 1,2,3
Assignment 3 5 % 04/10/2019 21/10/2019 1,2,3
Assignment 4 5 % 18/10/2019 25/10/2019 1,2,3
Final Exam 80 % 31/10/2019 28/11/2019 1,2,3

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation

Not assessed

Examination(s)

The final exam is compulsory. Examinable material covers the whole semester. The exam will be marked out of 100. The final exam will be held in the exam period at the end of the semester. Details will be posted on the ANU exam timetable site. Your final mark for the course will be based on the raw marks allocated for each of your assessment items.

Assessment Task 1

Value: 5 %
Due Date: 09/08/2019
Return of Assessment: 16/08/2019
Learning Outcomes: 1,2,3

Assignment 1

Working through exercises is an effective method of learning econometrics, as it is with most mathematical subjects. That means that the assignments are more than simply part of the assessment for the course. Students will be required to submit four written assignments during the semester. The assignments will require computer work as well as analytical work. These assignments should be your own work. You may discuss assignments with classmates, but you should do all your own computing and writing of the assignments. It is an offence against the University's regulations to copy from other students assignments. Assignments are to be submitted 12pm on the due date via Turnitin on Wattle. No submission of assignments without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded. All assignments will be available at least two weeks prior to the due date.

Assessment Task 2

Value: 5 %
Due Date: 30/08/2019
Return of Assessment: 06/09/2019
Learning Outcomes: 1,2,3

Assignment 2

Working through exercises is an effective method of learning econometrics, as it is with most mathematical subjects. That means that the assignments are more than simply part of the assessment for the course. Students will be required to submit four written assignments during the semester. The assignments will require computer work as well as analytical work. These assignments should be your own work. You may discuss assignments with classmates, but you should do all your own computing and writing of the assignments. It is an offence against the University's regulations to copy from other students assignments. Assignments are to be submitted 12pm on the due date via Turnitin on Wattle. No submission of assignments without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded. All assignments will be available at least two weeks prior to the due date.

Assessment Task 3

Value: 5 %
Due Date: 04/10/2019
Return of Assessment: 21/10/2019
Learning Outcomes: 1,2,3

Assignment 3

Working through exercises is an effective method of learning econometrics, as it is with most mathematical subjects. That means that the assignments are more than simply part of the assessment for the course. Students will be required to submit four written assignments during the semester. The assignments will require computer work as well as analytical work. These assignments should be your own work. You may discuss assignments with classmates, but you should do all your own computing and writing of the assignments. It is an offence against the University's regulations to copy from other students assignments. Assignments are to be submitted 12pm on the due date via Turnitin on Wattle. No submission of assignments without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded. All assignments will be available at least two weeks prior to the due date.

Assessment Task 4

Value: 5 %
Due Date: 18/10/2019
Return of Assessment: 25/10/2019
Learning Outcomes: 1,2,3

Assignment 4

Working through exercises is an effective method of learning econometrics, as it is with most mathematical subjects. That means that the assignments are more than simply part of the assessment for the course. Students will be required to submit four written assignments during the semester. The assignments will require computer work as well as analytical work. These assignments should be your own work. You may discuss assignments with classmates, but you should do all your own computing and writing of the assignments. It is an offence against the University's regulations to copy from other students assignments. Assignments are to be submitted 12pm on the due date via Turnitin on Wattle. No submission of assignments without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded. All assignments will be available at least two weeks prior to the due date.

Assessment Task 5

Value: 80 %
Due Date: 31/10/2019
Return of Assessment: 28/11/2019
Learning Outcomes: 1,2,3

Final Exam

The final exam is compulsory. Examinable material covers the whole semester. The exam will be marked out of 100 and is worth 72 percent of the final grade. The duration of the exam is 120 minutes. The final exam will be held in the exam period at the end of the semester. Details will be posted on the ANU exam timetable site. Further details regarding the exam will be given in lectures.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. This course uses Turnitin. For additional information regarding Turnitin please visit the ANU Online website.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
Dr Thomas Tao Yang
51011
u1021930@anu.edu.au

Research Interests


Econometrics

Dr Thomas Tao Yang

Friday 14:30 15:30
Friday 14:30 15:30
Dr Thomas Tao Yang
51011
tao.yang@anu.edu.au

Research Interests


Dr Thomas Tao Yang

Friday 14:30 15:30
Friday 14:30 15:30

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions