Research School of Economics

Econ Models & Intro Ec’m EMET8005 62 – Research School of Economics – ANU College of Business and Economics

COURSE TOPIC

CLASS NUMBER

8313 TERM

Second Semester, 2019 CLASS SECTION

1 CLASS AVAILABILITY

Active MODE OF DELIVERY

In Person

CLASS START DATE

22/07/2019 CLASS END DATE

25/10/2019 CENSUS DATE

31/08/2019 LAST DATE TO ENROL

29/07/2019 STUDENT SPECIFIC PERMISSIONS

No

ENROLLED STUDENTS

44 ENROLMENT LIMIT

999 IS CONSENT REQUIRED TO ENROL?

No IS CONSENT REQUIRED TO DROP?

No

MINIMUM UNITS

6 MAXIMUM UNITS

6

PROPOSER NAME:

Tue Gorgens

PROPOSED DATE:

01/01/2019

APPROVED DATE:

25/06/2019

Course Information

 PHOTO

U P L O A D I M A G E

COURSE CONVENER 

UID

u1011384

Name

Dr Sriram Shankar

Email

sriram.shankar@anu.edu.au

Phone

6125 2310

STUDENT CONSULTATION DAYS AND HOURS

D AYS H OU R S ( F R OM ) E. G. 15 : 00: 00 H OU R S ( T O) E. G. 16 : 00: 00

1 Wednesday 16:00:00 17:00:00

COURSE CONVENER – RESEARCH INTERESTS

Risk and Uncertainty and Applied Econometrics

ADMINISTRATIVE CONTACT 

UID

u5427758

Name

Ms Nicole Millar

Email

enquiries.rse@anu.edu.au

Phone

6125 0384

ADD LECTURERS, TUTORS OR DEMONSTRATORS BELOW 

R OL E U I D N AM E P H ON E EM AI L S T U D EN T C ON S U LT AT I ON D AY

H OU R S ( F R OM ) E. G. 15 : 00: 00

H OU R S ( T O) E. G. 16 : 00: 00

1 Lecturer u1011384

Dr Sriram Shankar 6125 2310 sriram.shankar@anu.edu.au Wednesday 16:00:00 17:00:00

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.   Con�rm 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 �nalised for you to have access to Wattle.

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 con�dential, 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

Class Overview

CLASS STRUCTURE AND CONTENT 

W EEK /S ES S I ON N U M BER

S U M M AR Y OF AC T I V I T I ES AS S ES S M EN T AN D OT H ER I N F OR M AT I ON

1 1 Introduction and Probability Primer (Hill et al., chapter 1)

2 2 Simple Linear Regression Model (Hill et al., chapter 2)

3 3 Interval Estimation and Hypothesis Testing  (Hill et al., chapter 3)

4 4 Prediction, Goodness of Fit and Modelling Issues (Hill et al., chapter 4)

5 5 Multiple Regression Model (Hill et al., chapter 5)

6 6 Inference in the Multiple Regression Model (Hill et al., chapter 6) Assignment 1 due

7 7 Using Dummy Variables in Regression (Hill et al., Chapter 7) In-class Quiz

8 8 Heteroskedasticity (Hill et al., chapter 8)

9 9 Instrumental Variables Regression (Hill et al., chapter 10.3)

10 10 Regression analysis with Stationary time series data (Hill et al., chapter 9)

11 11 Regression analysis with Non-stationary time series data (Hill et al., chapter 12) Assignment 2 due

12 12 Binary Choice Models (Hill et al., chapters 16.1 & 16.2)

13 13 Examination period

RESEARCH-LED TEACHING

The in-class examples, tutorial and assignment problems will be drawn from research in the area of econometrics.

FIELD TRIPS IF RELEVANT

ADDITIONAL CLASS 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.

REQUIRED RESOURCES

Essential Textbook: Hill, R.C., Grif�ths, 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 Chi�ey 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 Chi�ey or Hancock library.

RECOMMENDED RESOURCES

EXAMINATION MATERIAL OR EQUIPMENT

The only permitted materials for an exam will be non-programmable calculators.

 

 

Assessment Tasks

ASSESSMENT SUMMARY 

T AS K N U M BER V AL U E ( % ) D U E D AT E ( YYYY- M M – D D ) R ET U R N OF AS S ES S M EN T D AT E ( YYYY- M M – D D )

L I N K ED L EAR N I N G OU T C OM ES

1 1 10 2019-08-30 2019-09-12 1,2

2 2 10 2019-10-18 2019-11-05 1,2

3 3 20 2019-09-17 2019-10-01 1,2

4 4 60

2019-10-31 2019-12-04 1,2

ASSESSMENT TASK #  Assessment Task 1

Assessment Task 2

Assessment Task 3

Assessment Task 4

Name of Assessment Task:

Assignment 1

Details of Task:

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.

Name of Assessment Task:

Assignment 2

Details of Task:

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.

Name of Assessment Task:

Mid Semester Quiz

Details of Task:

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 �nal examination. In other words, for students who miss the mid-semester quiz, the �nal exam will be worth 80% of the total assessment. The mid-semester quiz will be worth 20% of the total assessment.

Name of Assessment Task:

Final Exam

Details of Task:

A �nal exam will be held during the ANU �nal exam period. It will cover material from the entire course (that is, Weeks 1 to 12). The �nal exam will be worth 60% of the total assessment. The duration of the �nal exam will be two hours (excluding reading time). The details regarding the �nal exam will be posted on Wattle in the due course of time.

PARTICIPATION

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.

EXAMINATION(S)

See information above in Assessment Tasks 3 and 4 regarding examinations.

Assignment Submission

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. In rare cases where online submission using Turnitin software is

 

 

not technically possible; or where not using Turnitin software has been justi�ed 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.

ONLINE SUBMISSION 

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.

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.

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.

LATE SUBMISSION 

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 speci�ed in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

RETURNING ASSIGNMENTS

The dates for returning the assignments will also be posted on Wattle.

RESUBMISSION OF ASSIGNMENTS

Related Policies and Other Information

EDUCATIONAL 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:

• Student Assessment (Coursework) Policy and Procedure • Special Assessment Consideration Policy and General Information  • Student Surveys and Evaluations • Deferred Examinations • Student Complaint Resolution Policy and Procedure

MARK MODERATION 

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 �nal results being released.

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 �le named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

DISTRIBUTION OF GRADES 

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 quali�cation type learning outcomes. Since �rst semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

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 �rst 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: �rst 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.

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 quali�cation 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 �nd useful for your studies.

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