- Class Number 8313
- Term Code 2960
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- Dr Sriram Shankar
- Dr Sriram Shankar
- 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
This is a unit in basic econometrics, emphasising the problems involved in the empirical measurement of economic relationships and the techniques used to solve these problems. While the application of econometric techniques is of prime importance, the results are not just presented but derived using a mixture of rigour and intuition so as to leave as few loose ends as possible.
Upon successful completion, students will have the knowledge and skills to:
- be able to conduct a basic empirical analysis of cross sectional data (observations on characteristics of several economic units, such as firms or households, at a single point in time) or time series data (observations on characteristics of one economic unit over time);
- have sufficient background to take EMET8001 Applied Micro-Econometrics or EMET8010 Applied Macro and Financial Econometrics or EMET8002 Case Studies in Applied Econometrics in the second semester.
The in-class examples, tutorial and assignment problems will be drawn from research in the area of econometrics.
Additional Course Costs
EViews econometric software will be used in this course. A Student version of the software may be purchased separately. This software is available on ANU computers in computer labs and so it is not mandatory for students to purchase it.
Examination Material or equipment
The only permitted materials for an exam will be non-programmable calculators.
Essential Textbook: Hill, R.C., Griffiths, W.E. and G.C. Lim (2018) Principles of Econometrics, 5th edition, Wiley, New Jersey. This book can be purchased from the bookstore on campus. The students can also obtain a copy of this book for short term loan from the Chifley library.
Other recommended texts (not compulsory):
W.H. Greene (2008) Econometric analysis, 6th edition, Prentice Hall, New Jersey.
P. Kennedy (2003) A Guide to Econometrics, 5th edition, Cambridge, Mass. MIT Press.
Stock, J.H. and M.W. Watson (2007) Introduction to econometrics, 2nd edition, Pearson.
J.M. Wooldridge (2006) Introductory Econometrics: A Modern Approach, 3rd edition.
The students can obtain a copy of the recommended books for short term loan from Chifley or Hancock library.
- Students will be given feedback in the following forms in this course:
- written comments
- verbal comments
- feedback to the whole class and to tutorial groups
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.
Your final mark for the course will be based on the raw marks allocated for each of your assessment items. However, your final mark may not be the same number as produced by that formula, as marks may be scaled. Any scaling applied will preserve the rank order of raw marks (i.e. if your raw mark exceeds that of another student, then your scaled mark will exceed the scaled mark of that student), and may be either up or down.
Extensions and Penalties
Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item.
Late submission is not accepted for take-home examinations.
Support for Students
The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/
Students are expected to check the Wattle site for announcements about this course, e.g. changes to timetables or notifications of cancellations.
|Week/Session||Summary of Activities||Assessment|
|1||Introduction and Probability Primer (Hill et al., chapter 1)|
|2||Simple Linear Regression Model (Hill et al., chapter 2)|
|3||Interval Estimation and Hypothesis Testing (Hill et al., chapter 3)|
|4||Prediction, Goodness of Fit and Modelling Issues (Hill et al., chapter 4)|
|5||Multiple Regression Model (Hill et al., chapter 5)|
|6||Inference in the Multiple Regression Model (Hill et al., chapter 6)||Assignment 1 due|
|7||Using Dummy Variables in Regression (Hill et al., Chapter 7)||In-class Quiz|
|8||Heteroskedasticity (Hill et al., chapter 8)|
|9||Instrumental Variables Regression (Hill et al., chapter 10.3)|
|10||Regression analysis with Stationary time series data (Hill et al., chapter 9)|
|11||Regression analysis with Non-stationary time series data (Hill et al., chapter 12)||Assignment 2 due|
|12||Binary Choice Models (Hill et al., chapters 16.1 & 16.2)|
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 task||Value||Due Date||Return of assessment||Learning Outcomes|
|Assignment 1||10 %||30/08/2019||12/09/2019||1,2|
|Assignment 2||10 %||18/10/2019||05/11/2019||1,2|
|Mid Semester Quiz||20 %||17/09/2019||01/10/2019||1,2|
|Final Exam||60 %||31/10/2019||04/12/2019||1,2|
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
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:
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. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.
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.
This is an on-campus course. Attendance at all teaching events, while not compulsory, is expected in line with “Code of Practice for Teaching and Learning”, clause 2 paragraph (b).
In addition, tutorials are a discussion-based class. Tutorial solutions will not be separately provided and so attending the tutorials would be important. Students who, through unavoidable and unplanned occurrences, are unable to attend a tutorial class one week are encouraged to work through the problems and attend a consultation session for discussion.
See information above in Assessment Tasks 3 and 4 regarding examinations.
Assessment Task 1
Learning Outcomes: 1,2
Assignment 1 will involve numerical as well short answer questions based on the material covered in Weeks 1 to 6. The students must use EVIEWS software for analysing
data for this assignment. The release date of questions, due date for Assignment 1 and return date will respectively be 2019-07-30, 2019-08-30 and 2019-09-12. Assignment 1 will be worth 10% of the total assessment.
Assessment Task 2
Learning Outcomes: 1,2
Assignment 2 will involve numerical as well short answer questions based on the material covered in Weeks 7 to 11. The students must use EVIEWS software for
analysing data for this assignment. The release date of questions, due date for Assignment 2 and return date will respectively be 2019-09-11, 2019-10-18 and 2019-11-05. Assignment 2 will be worth 10% of the total assessment.
Assessment Task 3
Learning Outcomes: 1,2
Mid Semester Quiz
The mid-semester quiz would contain multiple choice questions based on the material covered in Weeks 1 to 6. It will conducted in-class on 17/09/2019. The return date of mid semester quiz will be 2019-10-01. The students who miss the test may be offered a deferred exam upon request (with valid supporting documentation). However, students who miss the test for valid and documented medical reasons and also do not sit in a deferred exam will have the value of the test added to the value of the final examination. In other words, for students who miss the mid-semester quiz, the final exam will be worth 80% of the total assessment. The mid-semester quiz will be worth 20% of the total assessment.
Assessment Task 4
Learning Outcomes: 1,2
A final exam will be held during the ANU final exam period. It will cover material from the entire course (that is, Weeks 1 to 12). The final exam will be worth 60% of the total assessment. The duration of the final exam will be two hours (excluding reading time). The details regarding the final exam will be posted on Wattle in the due course of time.
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.
You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.
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.
Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:
- Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.
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.
The dates for returning the assignments will also be posted on Wattle.
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.
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).
- ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
- ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
- ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents undergraduate and ANU College students
- PARSA supports and represents postgraduate and research students
Risk and Uncertainty and Applied Econometrics
Dr Sriram Shankar