Introductory Econometrics Course Outline

eAUSTRALIAN SCHOOL OF BUSINESS SCHOOL OF ECONOMICS

ECON2206 / ECON3290 (ARTS) Introductory Econometrics Course outline
SESSION 2, 2011

Lecturer in Charge: Dr. Rachida Ouysse Room ASB441 Telephone: [phone] Email: [e-mail] Lectures: Fridays 9am-11am Venue: Law Theatre G04

Website: http://telt.unsw.edu.au/

TABLE OF CONTENTS
1 STAFF CONTACT DETAILS 1 1 1 1 1 1 2 2 2 2 3 3 3 4 4 4 5 5 5 5 6 6 6 6 7 7 7 7 7 9 9 9 10 10 10 12 13 13 13 14

1.1 Communications with staff 2 COURSE DETAILS

2.1 Teaching Times and Locations 2.2 Units of Credit 2.3 Aim and Summary of Course 2.4 Relationship to Other Courses 2.5 Student Learning Outcomes 3 LEARNING AND TEACHING ACTIVITIES
3.1 Approach to Learning and Teaching in the Course 3.2 Learning Activities and Teaching Strategies 4 ASSESSMENT

4.1 Formal Requirements 4.2 Assessment Details 4.3 Tutorial Assessments 4.4 Course Project 4.4.1 Group work (Optional) 4.4.2 Project Submission 4.4.3 Late Submission 4.5 When Sickness Affects Your Submission 4.6 Final Examination 4.7 Quality Assurance 5 6 7 ACADEMIC HONESTY AND PLAGIARISM COURSE EVALUATION AND DEVELOPMENT STUDENT RESPONSIBILITIES AND CONDUCT

7.4 Workload 7.5 Attendance 7.6 Keeping Informed 7.7 Special Consideration and Supplementary Examinations 7.8 General Conduct and Behaviour 7.9 Occupational Health and Safety 8 9 STUDENT RESOURCES AND SUPPORT COURSE RESOURCES

9.1 Course website 9.2 Textbook and readings 9.3 Computing work 10 COURSE SCHEDULE 10.1 Lecture Schedule 10.2 UTORIAL SCHEDULE T 11 KEY DATES AND STUDENT RESPONSIBILITIES

1

STAFF CONTACT DETAILS
Lecturer-in-charge: Room: Phone No: Email: Consultation Times: Dr Rachida Ouysse ASB441 9385 3321 [e-mail] 1pm–4pm, Fridays (or by appointment)

Tutors: Peng Huang: David Hughes: William Wang:

[e-mail]

[e-mail]
[e-mail]

1.1

Communications with staff

You should feel free to contact your lecturer about any academic matter. However, for efficiency, all enquiries about the subject material should be made at lectures or tutorials or during consultation time. Discussion of course subject material will not be entered into via lengthy emails. All inquiries regarding tutorial changes and tutorial administrative questions should be directed to your tutor. If you want to change tutorial group, you must contact the tutor for the session you want and ask for availability of seats. Once that is confirmed and the tutor agrees with the move, you must notify both tutors of the change so that they can update their lists.

2 2.1

COURSE DETAILS
Teaching Times and Locations
Lecture (Weeks 1-12): Fridays 9 AM-11AM, Law Theatre G04 Students should print out the relevant lecture slides before attending the lectures. Tutorials (Weeks 2-13): Students should read relevant materials and attempt the tutorial questions before attending the tutorial classes. Week 11 Monday (Mon, 03 October, public holiday): Students in Monday tutorials should attend an alternative non-Monday tutorial in Week 11.

2.2

Units of Credit

The course is worth 6 units of credit. There is no parallel teaching in this course.

2.3

Aim and Summary of Course

The aim of the course is to help students develop a working knowledge of econometrics and its applications to real-world economic data. The course is based on regression models and will cover topics for simple and multiple regression methods, focusing on issues of estimation and inference. Extensions to the regression model will also be considered. There will be an emphasis on how to apply the methods in practice, fostering the ability to conduct empirical research in economics, finance and other social sciences.

ECON2206/3290 Introductory Econometrics

1

2.4

Relationship to Other Courses

This course (ECON2206/3290) provides an introduction to econometrics, which involves the application of statistical methods in the analysis of economic data. ECON1203 Business & Economics Statistics (BES), or an equivalent course, is a prerequisite for ECON2206/3290. The material covered in ECON1203 is treated as assumed knowledge. In turn, ECON2206/3290 is a prerequisite for ECON2207 (Econometric Methods) and other higher level econometrics courses.

2.5

Student Learning Outcomes
1. list and explain the assumptions underlying the regression models, 2. interpret the estimates from the application of regression models, 3. conduct hypothesis testing using the regression model, 4. describe and explain the limitations of the regression model, 5. identify and apply extensions to the regression model, which address special features of different data structures, 6. apply the regression model to economic data using econometric software.

On completion of the course, students should be able to:

Graduate Attributes Course Learning Outcomes 1, 2, 3, 4, 5, 6 2, 3, 6 6 2, 4 2, 4, 5, 6 1, 2, 3, 4, 5, 6 2. Communication 3. Teamwork and leadership 4. Social, ethical and global perspectives 5. In-depth engagement with relevant disciplinary knowledge 6. Professional skills

ASB Graduate Attributes 1. Critical thinking and problem solving

3 3.1

LEARNING AND TEACHING ACTIVITIES
Approach to Learning and Teaching in the Course
The philosophy underpinning this course and its Teaching and Learning Strategies are based on Guidelines on Learning that Inform Teaching at UNSW. These guidelines may be viewed at: www.guidelinesonlearning.unsw.edu.au. Specifically, the lectures, tutorials and assessment have been designed to appropriately challenge students and support the achievement of the desired learning outcomes. A climate of inquiry and dialogue is encouraged between students and teachers and among students (in and out of class). The lecturers and tutors aim to provide meaningful and timely feedback to students to improve learning outcome.

ECON2206/3290 Introductory Econometrics

2

3.2

Learning Activities and Teaching Strategies

The examinable content of the course is defined by the references given in the Lecture Schedule, the content of Lectures, and the content of the Tutorial Program.

Lectures

The purpose of lectures is to provide a logical structure for the topics that make up the course; to emphasize the important concepts and methods of each topic, and to provide relevant examples to which the concepts and methods are applied.

Tutorials

Tutorials begin in Week 2 and are an integral part of the subject. Tutorial presentations, discussions, solutions to problems are designed to help students deepen their understanding and practise learnt material.

Out-of-Class Study

While students may have preferred individual learning strategies, it is important to note that most learning will be achieved outside of class time. Lectures can only provide a structure to assist your study, and tutorial time is limited. The course project, assignments and many tutorial questions require econometrics software. STATA is recommended for this course, which is available in ASB labs. An “ideal” strategy (on which the provision of the course materials is based) might include: 1. Read the relevant chapter(s) of the text and relevant lecture slides before the lecture. This will give you a general idea of the topic area. 2. Attend lectures. Here the context of the topic in the course and the important elements of the topic are identified. The relevance of the topic should be explained. 3. Attempt tutorial questions before attending the tutorial class. This helps you identify issues that can be clarified or resolved in the tutorial class.

4 4.1

ASSESSMENT
Formal Requirements

To be eligible for a passing grade in this course, students must: a) Achieve a composite mark of at least 50 per cent; AND b) Satisfactorily complete all assessment tasks or submit appropriate documentation relating to your failure to complete a task to the Lecturer in Charge. AND c) Achieve a satisfactory level of performance in the final exam. This usually means a minimum mark of 50 per cent. Any student having an overall mark of 50 or more but less than 50 per cent in the final examination will be given an UF grade (unsatisfactory fail).

ECON2206/3290 Introductory Econometrics

3

4.2

Assessment Details
Weight Learning Outcomes assessed 1—6 1—6 1—5 ASB Graduate Attributes assessed 1—6 1—6 1,2,4,5,6 Length Due Date

Assessment Task

Tutorial Assessments Course Project Final Exam Total

20%
(2 assignments)

≤ 5 pages ≤ 10 pages 2 hours

Weeks 5 and 12 Week 10 See below 4.4 University Exam Period

20% 60% 100%

4.3

Tutorial Assessments

Tutorials start Week 2.
The Tutorial Program questions will be posted on the course website. Each week a series of problems based on the lecture material will be set. You should attempt all questions before attending tutorial classes. Two tutorial assignments (due Week 5 and Week 12) will be collected and marked as the Tutorial Assessment. The two tutorial assignments (10% weight on each) will account for 20% of your total assessment for the course. The two assignments must be handed in to the tutor at (or before) the beginning of your tutorial class in Week 5 and 12. Otherwise a mark of zero will be given. Staff members other than your tutor will NOT accept your assignment. The tutorial assignments are designed to assess your understanding of regression models, your ability to interpret regression results and appraise the quality of a model. The tutorial assignments involve analysing data with STATA. The criteria used for marking the assignments are correctness and clarity of the answers presented. The tutorial assignments and the course project (see below) are designed to assess progress toward learning objectives 1-6; the tutorial assignments and course project are the main form of assessment for objective 6 (performing regression analysis using specialised econometric software). Assignment work is individual. You MUST show your own work. Simply reproducing work from other sources is NOT acceptable and is subject to
penalty.

4.4

Course Project

The course project questions and data set will be available from the course website. The project involves an in-depth econometric analysis of an applied economic problem. The project will require the analysis of a data set using regression methods. The project will be similar in structure to the weekly tutorial assignments.

ECON2206/3290 Introductory Econometrics

4

4.4.1 Group work (Optional)
Students may work together on the project and teams of up to a maximum of 3 students can submit a joint project. There are no requirements for students to present joint projects and students may choose to submit individual reports. A cover sheet for the project will be posted on the course website. The group members are required to complete a peer assessment sheet for the project. It is your responsibility to resolve any work load among the group members. The peer assessment sheet will be used to assess each member’s contribution to the project. In the event of a big discrepancy between group members’ contribution, the mark allocated to each member will be an average weighted by their peers’ assessment.

4.4.2 Project Submission
Students are required to submit a written copy AND an electronic copy of their project. The electronic document must be a pdf file or a word file. Hard copies of the document must be typewritten and stapled. Student name(s) and number(s) must be clearly indicated on the cover page. Ensure that your answers have a coversheet stating your name, student number, course name, tutorial group number and tutor's name. Do not use plastic sheets or binders. Simply staple the pages together. Do not submit loose-leaf sheets of paper. All electronic copies of essays will be checked for plagiarism on the Turnitin software into which they are uploaded. See notes on Plagiarism below and also note that the Turnitin software will automatically check against all other assignments submitted. Plagiarism will lead to heavy penalty. The hard copy of the major project should be deposited in the school of Economics collection box [to be specified] by 5pm on Friday September 30th. The electronic copy of the major project must be submitted on the course website by 11:59pm on Friday September 30th. Submission via email or fax will not be accepted. Additional instructions on submission of the electronic copy will be available on the website. You should keep a copy of all work submitted for assessment as well as the returned marked assignments.

4.4.3 Late Submission
Late submissions: a penalty of 20% of the value of the project will be deducted for each day (24 hours) or part thereof past the deadline unless an extension is granted. This penalty will apply if either the hard or the electronic copy of the project is late. Work submitted more than five days late will not be marked.

4.5 When Sickness Affects Your Submission
If you are unable to hand in your assignment or course project because of sickness, you must submit a copy of your doctor’s certificate to the lecturer and apply for a reweight of your final exam (if approved your final exam will be re-weighted according to the missed submission). Note that the 50% rule at 4.1 (c) applies to the re-weighted final exam. Work commitment, holiday or travel plans are NOT valid excuses for failing to submit your assignments or course project.

ECON2206/3290 Introductory Econometrics

5

4.6 Final Examination
The final exam will be held in the University examination period and will be TWO hours long. The final exam will cover the entire course. Further information on the content and structure of the Final Exam will be provided towards the end of session. The final exam is designed to assess knowledge of econometric concepts, your understanding of the regression models and the application of regression methods to real world problems. The questions will involve interpretation of regression results, basic calculations, hypothesis testing, and evaluation of regression models. The final exam is designed to assess achievement of learning objectives 1-5.

4.7 Quality Assurance
The ASB is actively monitoring student learning and quality of the student experience in all its programs. A random selection of completed assessment tasks may be used for quality assurance, such as to determine the extent to which program learning goals are being achieved. The information is required for accreditation purposes, and aggregated findings will be used to inform changes aimed at improving the quality of ASB programs. All material used for such processes will be treated as confidential and will not be related to course grades.

5

ACADEMIC HONESTY AND PLAGIARISM

The University regards plagiarism as a form of academic misconduct, and has very strict rules regarding plagiarism.
For UNSW policies, penalties, and information to help you avoid plagiarism see: http://www.lc.unsw.edu.au/plagiarism/index.html as well as the guidelines in the online ELISE and ELISE Plus tutorials for all new UNSW students: http://info.library.unsw.edu.au/skills/tutorials/InfoSkills/index.htm. To see if you understand plagiarism, do this short quiz: http://www.lc.unsw.edu.au/plagiarism/plagquiz.html For information on how to acknowledge your sources and reference correctly, see: http://www.lc.unsw.edu.au/onlib/ref.html For the ASB Harvard Referencing Guide, see the ASB Referencing and Plagiarism web page: http://www.asb.unsw.edu.au/learningandteaching/studentservices/resources/Pages/ referencingandplagiarism.aspx In the School of Economics all cases of substantial plagiarism are reported to the Associate Head of School. The following penalties will apply:  Reduction in marks for the assessment item, including zero;  Failure in the course [00FL] in extreme cases;  Other additional penalties in accordance with the UNSW Procedures for Dealing with Student Plagiarism, may be considered in extreme cases;  All cases will be recorded on the UNSW Plagiarism Central
Register

6

COURSE EVALUATION AND DEVELOPMENT

ECON2206/3290 Introductory Econometrics

6

Each year feedback is sought from students and other stakeholders about the courses offered in the School and continual improvements are made based on this feedback. UNSW's Course and Teaching Evaluation and Improvement (CATEI) Process is one of the ways in which student evaluative feedback is gathered. You are strongly encouraged to take part in the feedback process.

7

STUDENT RESPONSIBILITIES AND CONDUCT

Students are expected to be familiar with and adhere to university policies in relation to class attendance and general conduct and behaviour, including maintaining a safe, respectful environment; and to understand their obligations in relation to workload, assessment and keeping informed. Information and policies on these topics can be found in the ‘A-Z Student Guide’: https://my.unsw.edu.au/student/atoz/A.html. See, especially, information on ‘Attendance and Absence’, ‘Academic Misconduct’, ‘Assessment Information’, ‘Examinations’, ‘Special Consideration’, ‘Student Responsibilities’, ‘Workload’ and policies such as ‘Occupational Health and Safety’.

7.4 Workload
It is expected that you will spend at least ten hours per week studying this course. This time should be made up of reading, research, working on exercises and problems, and attending classes. In periods where you need to complete assignments or prepare for examinations, the workload may be greater. Over-commitment has been a cause of failure for many students. You should take the required workload into account when planning how to balance study with employment and other activities.

7.5 Attendance
Your regular and punctual attendance at lectures and seminars is expected in this course. University regulations indicate that if students attend less than 80% of scheduled classes they may be refused final assessment.

7.6 Keeping Informed
You should take note of all announcements made in lectures, tutorials or on the course web site. From time to time, the University will send important announcements to your university e-mail address without providing you with a paper copy. You will be deemed to have received this information. It is also your responsibility to keep the University informed of all changes to your contact details.

7.7 Special Consideration and Supplementary Examinations
You must submit all assignments and attend all examinations scheduled for your course. You should seek assistance early if you suffer illness or misadventure which affects your course progress.

ECON2206/3290 Introductory Econometrics

7

General Information on Special Consideration: 1. For assessments worth 20% or more, all applications for special consideration must go through UNSW Student Central (https://my.unsw.edu.au/student/academiclife/StudentCentralKensington.html) and be lodged within 3 working days of the assessment to which it refers; 2. Applications will not be accepted by teaching staff, but you should notify the lecture-in-charge when you make an application for special consideration through UNSW Student Central; 3. Applying for special consideration does not automatically mean that you will be granted a supplementary exam; 4. Special consideration requests do not allow lecturers-in-charge to award students additional marks. ASB Policy on requests for Special Consideration for Final Exams: The policy of the School of Economics is that the lecturer-in-charge will need to be satisfied on each of the following before supporting a request for special consideration: 1. Does the medical certificate contain all relevant information? For a medical certificate to be accepted, the degree of illness, and impact on the student, must be stated by the medical practitioner (severe, moderate, mild). A certificate without this will not be valid. 2. Has the student performed satisfactorily in the other assessment items? Satisfactory performance would require at least at least 40% in each assessment item specified in the Course Outline and meeting the obligation to have attended 80% of tutorials. 3. Does the student have a history of previous applications for special consideration? A history of previous applications may preclude a student from being granted special consideration. Special Consideration and the Final Exam: Applications for special consideration in relation to the final exam are considered by an ASB Faculty panel to which lecturers-in-charge provide their recommendations for each request. If the Faculty panel grants a special consideration request, this will entitle the student to sit a supplementary examination. No other form of consideration will be granted. The following procedures will apply: 1. Supplementary exams will be scheduled centrally and will be held approximately two weeks after the formal examination period. The dates for ASB supplementary exams for session 2, 2011 are: Wednesday 30 November 2011 – exams for the School of Accounting Thursday 1 December 2011 – exams for all Schools other than Accounting and Economics Friday 2 December 2011 – exams for the School of Economics If a student lodges a special consideration for the final exam, they are stating they will be available on the above dates. Supplementary exams will not be held at any other time. 2. Where a student is granted a supplementary examination as a result of a request for special consideration, the student’s original exam (if completed) will be ignored and only the mark achieved in the supplementary examination will count towards the final grade. Failure to attend the supplementary exam will not entitle the student to have the original exam paper marked and may result in a zero mark for the final exam. If you are too ill to perform reasonably on the final exam, do not attend the final and apply for a supplementary instead. However granting of a supplementary exam in such cases is not

ECON2206/3290 Introductory Econometrics

8

automatic. If a student attends the regular final, s/he is unlikely to be granted a supplementary exam. The ASB’s Special Consideration and Supplementary Examination Policy and Procedures for Final Exams for Undergraduate Courses is available at: http://www.asb.unsw.edu.au/currentstudents/resources/forms/Documents/supplementaryexampr ocedures.pdf. Special consideration and assessments other than the Final exam: For the application of special consideration to assessment items other than the final exam, refer to the specific policies outlined in 4.6. The School of Economics does not provide supplementary assessment items other than for the final exam.

7.8 General Conduct and Behaviour
You are expected to conduct yourself with consideration and respect for the needs of your fellow students and teaching staff. Conduct which unduly disrupts or interferes with a class, such as ringing or talking on mobile phones, is not acceptable and students may be asked to leave the class. More information on student conduct is available at: www.my.unsw.edu.au

7.9 Occupational Health and Safety
UNSW Policy requires each person to work safely and responsibly, in order to avoid personal injury and to protect the safety of others. For more information, see https://my.unsw.edu.au/student/atoz/OccupationalHealth.html.

8

STUDENT RESOURCES AND SUPPORT

The University and the ASB provide a wide range of support services for students, including:  ASB Education Development Unit (EDU) (www.business.unsw.edu.au/edu) Academic writing, study skills and maths support specifically for ASB students. Services include workshops, online and printed resources, and individual consultations. EDU Office: Room GO7, Ground Floor, ASB Building (opposite Student Centre); Ph: 9385 5584; Email: [e-mail]  Capturing the Student Voice: An ASB website enabling students to comment on any aspect of their learning experience in the ASB: http://www.asb.unsw.edu.au/currentstudents/resources/studentfeedback/Pages/default.aspx  Blackboard eLearning Support: For online help using Blackboard, follow the links from www.elearning.unsw.edu.au to UNSW Blackboard Support / Support for Students. For technical support, email: [e-mail]; ph: 9385 1333  UNSW Learning Centre (www.lc.unsw.edu.au ) Academic skills support services, including workshops and resources, for all UNSW students. See website for details.  Library training and search support services: http://info.library.unsw.edu.au/web/services/services.html  IT Service Centre: Technical support for problems logging in to websites, downloading documents etc. https://www.it.unsw.edu.au/students/index.html UNSW Library Annexe (Ground floor)  UNSW Counselling and Psychological Services (http://www.counselling.unsw.edu.au) Free, confidential service for problems of a personal or academic nature; and workshops on study issues such as ‘Coping With Stress’ and ‘Procrastination’. Office: Level 2, Quadrangle East Wing; Ph: 9385 5418

ECON2206/3290 Introductory Econometrics

9



Student Equity & Disabilities Unit (http://www.studentequity.unsw.edu.au) Advice regarding equity and diversity issues, and support for students who have a disability or disadvantage that interferes with their learning. Office: Ground Floor, John Goodsell Building; Ph: 9385 4734

9

COURSE RESOURCES

9.1 Course website
The website for this course is on UNSW Blackboard. The course website contains copies of: Course Outline, Lecture Slides; Tutorial Questions; Data sets required for the tutorial questions; How to Use STATA; examples of STATA programs; and Announcements. Students should consult this website at least once a week as it contains important information about the course. It will be assumed that all students have seen Announcements posted on the course website.

9.2 Textbook and readings
The required textbook for this course is:  Wooldridge, J.M. (2009), Introductory Econometrics: A Modern Approach, 4th Edition, South-Western

This textbook is currently in stock at the UNSW bookstore, and copies are held in Open Reserve in the Main Library. The 2nd and 3rd editions of the textbook are very similar to the 4th edition, and are fine to use. Please note that numbering of the tutorial problems and their content may differ between editions. There is a companion book for the textbook that may be useful to refer to throughout the session:  Wooldridge, J.M. (2009) Student Solutions Manual to Introductory Econometrics: A Modern Approach, 4th Edition, South-Western.

This companion book is available electronically via the textbook website: access to the solution manual is free with the purchase of the book. Older, hardcopy versions of the Student Solution Manual are held in the Main Library. The following books provide an alternative presentation of similar material:   J.H. Stock and M.W. Watson (2003) Introduction to Econometrics, Addison Wesley. R.C. Hill, W. Griffiths and G.G. Judge (2001) Undergraduate Econometrics, 2nd Edition, Wiley.

More advanced treatment of the topics covered in the course are presented in the textbooks:  W. Greene (2003) Econometric Analysis, 5th edition, Prentice Hall.

ECON2206/3290 Introductory Econometrics

10



A.C. Cameron and P. Trivedi (2005) Microeconometrics: Methods and Applications, Cambridge University Press.

ECON2206/3290 Introductory Econometrics

11

9.3 Computing work
Computing is an integral component of any applied econometrics course. In introductory econometrics, you will learn how to use the data to make inference, draw conclusions and make policy recommendations. We will make use of software to apply the econometric techniques learned to specific real data to answer real questions. The default econometric software is Stata. Assigned computer work may be done in the computing labs; alternatively, you can obtain a personal copy of the Stata and install it on your own PC. To purchase your own copy, you will need to fill out a form and pay the price of the version of Stata you choose to buy. Since the course has been registered as part of Stata’s Gradplan students will have access to the following prices: Version of Stata license Price Small Stata – 6 month license: $50 Small Stata – 1 year license: $73 Stata IC – perpetual license $223 Notes: In all cases, the installation CD includes PDF of manuals. Small Stata can handle up to 99 variables x 1200 observations and is sufficient for this course. These prices are for the most recent version of Stata which is version 11. For more information on Stata prices in Australia, see: http://www.survey-design.com.au/gradplan.html There are lots of resources and support for Stata on the web. Particularly useful are the following websites:  For general help, browse through: http://www.ats.ucla.edu/stat/stata/  You can work through a tutorial at: http://data.princeton.edu/stata/  For help on getting started: http://www.stata.com/capabilities/session.html  For examples based on the Wooldridge textbook: http://fmwww.bc.edu/gstat/examples/wooldridge/wooldridge.html The manual: A.C. Acock, “A Gentle Introduction to Stata”, 2nd edition, Stata Press, 2008 is an additional reference for further help. Note that students do not need to buy their own copy of Stata and can choose to conduct their computing work on campus in the computer labs.

ECON2206/3290 Introductory Econometrics

12

10 COURSE SCHEDULE
10.1 Lecture Schedule
Lectures start in Week 1and finish in Week 12. There will be a XXXXXX on the Course website.

Week
Week 1 18-22 July Week 2 25-29 July Week 3 1-5 August Week 4 8-12 August Week 5 15-19 August Week 6 22-26 August Week 7 29 Aug - 2 Sept.

LECTURE SCHEDULE Topic/Reference
Introduction, Textbook Ch1. Simple Regression Model, Textbook Ch2 Multiple Regression: Estimation, Textbook Ch3 Multiple Regression: Inference I, Textbook Ch4 Multiple Regression: Inference II, Textbook Ch4

Tutorial Assignment 1 Due
Asymptotics and Further Issues, Textbook Ch5,6 Qualitative Infomration, Textbook Ch7

Mid-Session Break: Week 5-9 September
Week 8 12-16 Sept. Week 9 19-23 Sept. Week 10 26-30 Sept. Week 11 4-7 Oct Week 12 10-14 Oct. Week 13 17-21 Oct.
Heteroskedasticity, Textbook Ch8 Specification Issues, Textbook Ch9 Time Series Data: Basic Regression, Textbook Ch10 Time Series Data: Further Issues, Textbook Ch11. Pooling Cross Sections, Textbook Ch13

Tutorial Assignment 1 Due NO LECTURES

10.2

TUTORIAL SCHEDULE

Weekly tutorial questions (Tutorial Program) will be posted in the course website.

ECON2206/3290 Introductory Econometrics

13

11 KEY DATES AND STUDENT RESPONSIBILITIES
It is your responsibility to ensure that:
1. You are recorded by the University as being correctly enrolled in all your courses. 2. You have successfully completed all prerequisite courses. Any work done in courses for which prerequisites have not been fulfilled will be disregarded (unless an exemption has been granted), and no credit given or grade awarded. 3. You abide by key dates: Monday 18 July is the first day of Semester 2 lectures. Sunday 24 July is the last day you can enrol in Semester 2 courses. Sunday 24 July is the due date for Semester 2 fees. Wednesday 31 August is the last day for students to discontinue without financial penalty (and the last date to finalise arrangements for FEE-HELP). Sunday 4 September is the last day to discontinue without academic penalty. 4. You organise your affairs to take account of examination and other assessment dates where these are known. Be aware that your final examination may fall at any time during the semester’s examination period. The scheduling of examinations is controlled by the University administration. No early examinations are possible. The examination period for Semester 2, 2011, falls between Friday 28 October and Tuesday 15 November. 5. When the provisional examination timetable is released, ensure that you have no clashes or unreasonable difficulty in attending the scheduled examinations. The final examination timetable for Semester 2 is released in early October. 6. Note that the dates for ASB supplementary exams for session 2, 2011 are: Wednesday 30 November 2011 – exams for the School of Accounting Thursday 1 December 2011 – exams for all Schools other than Accounting and Economics Friday 2 December 2011 – exams for the School of Economics A full list of UNSW Key Dates is located at: https://my.unsw.edu.au/student/resources/KeyDates.html

ECON2206/3290 Introductory Econometrics

14