ECON5408 Applied Econometric Methods

Subject Code

ECON5408

Study Level

Postgraduate

Commencing Term

Term 1

Total Units of Credit (UOC)

Delivery Mode

Online

School

Economics

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1. Course Details

Summary of Course

This course extends econometric modelling using linear regression to cover more advanced topics that are relevant in applied economic research. These include the treatment of endogeneity using instrumental variable methods, simultaneous equations models, models for discrete choices such as logit and probit, time series methods and economic forecasting, and panel data methods. Special emphasis will be placed on the process and potential pitfalls of conducting and evaluating applied econometric research. The course will equip students with the necessary knowledge to be able to conduct their own econometric research using typical economic data.

Teaching Times and Locations

Please note that teaching times and locations are subject to change. Students are strongly advised to refer to the Class Timetable website for the most up-to-date teaching times and locations.

View course timetable

Course Policies & Support

The Business School expects that you are familiar with the contents of this course outline and the UNSW and Business School learning expectations, rules, policies and support services as listed below:

Program Learning Outcomes
Academic Integrity and Plagiarism
Student Responsibilities and Conduct
Special Consideration
Protocol for Viewing Final Exam Scripts
Student Learning Support Services

Further information is provided in the Assessment and Policies and Support sections.

Students may not circulate or post online any course materials such as handouts, exams, syllabi or similar resources from their courses without the written permission of their instructor.

Course Aims and Relationship to Other Courses

The course provides necessary skills and techniques that will be used in further study of econometrics and economics more generally.

The primary objective of the course is to provide a solid theoretical and practical foundation for the interpretation of empirical evidence in economics. The course therefore has two components: econometric theory and “hands-on” experience. The course project will give students experience in writing up research results in academic journal format.

This course is offered as an elective course for MAppEc (Master of Applied Economics) students. MCom students may take it as well if they have passed ECON5205. The course is designed to equip students with knowledge of the key econometric tools and methods expected of an applied economist. ECON5408 is a prerequisite for ECON6202/7202 Policy Evaluation Methods.

Student Learning Outcomes

The Course Learning Outcomes (CLOs) are what you should be able to demonstrate by the end of this course, if you participate fully in learning activities and successfully complete the assessment items.

CLOs also contribute to your achievement of the Program Learning Outcomes (PLOs), which are developed across the duration of a program. PLOs are, in turn, directly linked to UNSW graduate capabilities. More information on Coursework PLOs is available under Policies and Support. For PG Research PLOs, including MPDBS, please refer to the UNSW HDR Learning Outcomes.

The following table shows how the CLOs for this course relate to the overall PLOs and indicates where each CLO and PLO is assessed:

Course Learning Outcomes	Program Learning Outcomes	Course Assessment Item
On successful completion of the course, you should be able to:	This course helps you to develop the following Program Learning Outcomes:	This learning outcome will be assessed in the following items:
1. Apply a range of econometric models and tools that are useful when dealing with discrete dependent variables.	PLO 1: Business knowledge PLO 2: Problem solving	Quizzes on Assignments 1 & 2 Project Final Exam
2. Model and interpret data in the presence of problems, such as omitted variables and endogenous regressors, that are prevalent in most econometric modelling settings.	PLO 1: Business knowledge PLO 2: Problem solving	Quizzes on Assignments 1 & 2 Project Final Exam
3. Use regression models to forecast future values.	PLO 1: Business knowledge PLO 2: Problem solving	Quizzes on Assignments 1 & 2 Project Final Exam
4. Use Stata for econometric modelling.	PLO 1: Business knowledge PLO 2: Problem solving	Quizzes on Assignments 1 & 2 Project Final Exam
5. Make informed decisions about the model building process and the relevance of theoretical models in conducting applied work.	PLO 1: Business knowledge PLO 2: Problem solving PLO 5: Responsible business practice	Quizzes on Assignments 1 & 2 Project Final Exam
6. Critically evaluate empirical research.	PLO 1: Business knowledge PLO 2: Problem solving PLO 5: Responsible business practice	Quizzes on Assignments 1 & 2 Project Final Exam
7. Construct written work which is logically and professionally presented.	PLO 3: Business communication	Quizzes on Assignments 1 & 2 Project Final Exam
8. Gain experience in writing up research results in academic journal format.	PLO 3: Communication	Project

2. Staff Contact Details

Position	Title	Name	Email	Location	Phone	Consultation Times
Lecturer-in-charge	Prof	Gigi Foster		Room 454, UNSW Business School building	9065-1518	Thursdays 11:30-12:30 in Weeks 1 through 4, or by appointment (Online consultations available via Zoom meeting)
–	Dr	Yiyuan Xie		TBD	TBD	Thursdays 11:30-12:30, or by appointment

Communication with staff

You should feel free to contact your lecturer about any academic matter. All enquiries about the subject material should be made at lectures or seminars or during consultation time. Email is unsuitable for discussing the subject material.

Email correspondence on administrative matters (e.g., advising an inability to attend seminars) will be responded to within 48 hours, but not over weekends. Please note that the lecturer has no advance notice of the date and time of the exam.

Student Enrolment Requests

Students can vary their own enrolment (including switching lecture streams or seminars/tutorials) via myUNSW until the end of Week 1. In general, most other student enrolment requests should be directed to The Nucleus: Student Hub (formerly Student Central). These include enrolment in full courses or tutorials/seminars, course timetable clashes, waiving prerequisites for any course, transfer-of-credit (international exchange, transfer to UNSW, cross-institutional study, etc.), or any other request which requires a decision about equivalence of courses and late enrolment for any course. Where appropriate, the request will be passed to the School Office for approval before processing. Note that enrolment changes are rarely considered after Week 2 classes have taken place.

3. Learning and Teaching Activities

Use of your Webcam and Digital Devices: If you enrol in an online class, or the online stream of a hybrid class, teaching and associated activities will be conducted using Teams, Zoom, or similar a technology. Using a webcam is optional, but highly encouraged, as this will facilitate interaction with your peers and instructors. If you are worried about your personal space being observed during a class, we encourage you to blur your background or make use of a virtual background. Please contact the Lecturer-in-Charge if you have any questions or concerns.

Some courses may involve undertaking online exams for which your own computer or digital devices will be required. Monitoring of online examinations will be conducted directly by University staff and is bound by the University's privacy and security requirements. Any data collected will be handled accordance with UNSW policies and standards for data governance. For more information on how the University manages personal information please refer to the UNSW Student Privacy Statement and the UNSW Privacy Policy.

Approach to Learning and Teaching in the Course

The philosophy underpinning this course and its teaching and learning strategies is based on “Guidelines on Learning that Inform Teaching at UNSW”.

Quantitative information and statistics are pervasive not only in the study of economics and business but in understanding a wide range of phenomena. Every attempt will be made to demonstrate the relevance of the course to understanding such phenomena.

This will require applying econometric and statistical methods and techniques to practical problems in a broad set of topics.

Students who are undertaking this course need to have some background in basic statistics and grounding in the principles of regression analysis. Using this knowledge as a base, an extensive discussion of the use of regression theory and some of its extensions is provided. We demonstrate how regression models can be applied to data to estimate relationships, to forecast and to test hypotheses that arise in economics and business. We also discuss common problems that arise in most economic data.

General principles or guidelines for undertaking applied work are discussed. In particular, we stress the role of careful data analysis, the need to evaluate estimated models and the importance of the links between econometric models and the underlying substantive knowledge or theory associated with the particular application. These issues are related to applications drawn from various fields.

It is essential that the discussion of how to use econometric tools effectively be complemented with practice in analysing data. An important aid in this particular task is the computing component where the popular econometrics package Stata is used.

The Project will give students experience in doing independent research, and writing up results in academic journal format.

Learning Activities and Teaching Strategies

The examinable content of the course is defined by the references given in the lecture schedule, and the content of lectures and seminars.

Lectures and Seminars

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

Two recorded lectures will be made available online each week, and the associated lecture notes will also be made available. Additionally, there will be two hours of synchronous seminar time each week to answer questions about lecture materials. Lecture recordings will be available starting in Week 1, and seminars will will run during Weeks 2-5 and Weeks 7-10.

The first object of the seminars is to discuss various approaches to, and issues associated with, the assigned exercises and topics covered in the course. Each week a document will be posted containing the exercises which are to be covered in seminars. A number of these exercises are intended to be challenging so as to stimulate questions and discussion. Therefore, students should not feel inadequate if they have difficulty solving all the exercises before attending the seminar. However, it is important that students attempt the assigned exercises before the corresponding seminar sessions. Seminars are an integral component of the course; attendance and participation in the seminars is crucial for your successful completion of the course.

Extra material may be introduced in the seminars.

Discussion Forum

A Discussion Forum will operate on the Course website. Teaching staff will monitor the discussion and answer questions when needed.

Learning strategies

Most learning will be achieved outside of class time. Lectures can only provide a structure to assist your study, and seminar time is limited. A suggested learning approach is sketched below.

Prior to watching a lecture online, download and read the lecture notes for the lecture and read the associated textbook sections. The lecture notes are available for downloading on the course website on Moodle.
Watch the lecture. The lecture notes form the basis for the lecture. Key concepts will be emphasised and demonstrated through worked examples.
Complement your lecture notes with the assigned readings and ask questions of the lecturer or your seminar leader if some issues are still unclear.
Prior to attending seminars, attempt the assigned questions for that week. Do not be discouraged if you cannot answer all of the questions as some questions are more difficult than others. Attempting the assigned seminar questions will provide a self-test of your understanding of particular topics and identify those topics which may require further attention. Your seminar leader will work through some of the assigned questions each week.
Attempt additional problems from the end-of-chapter questions in the textbook. Many of the seminar and examination questions have a similar structure to the textbook questions. By attempting additional questions, you are able to test your own knowledge and, through practice and experience, improve your understanding of the material.
Attend your seminar, bringing questions and difficulties you have had to class for your seminar leader to address..

4. Assessment

Formal Requirements

In order to pass this course, you must:

achieve a composite mark of at least 50 out of 100;
meet any additional requirements described in the Assessment Summary section.

You are expected to attempt all assessment requirements in the course.

Assessment Structure

Assessment Task	Weighting	Length	Due Date
Quizzes on Assignments 1 & 2	30%	See Quizzes on Assignments below	5 pm Fridays of Weeks 3 and 7
Project	25%	See Project below	Week 10, due by Friday, April 21, 5pm.
Final Exam (open-book)	45%	2 hours	University Exam Period
Total	100%	–	–

Assessment Summary

Seminar Participation

No marks are awarded for seminar attendance. However, a record of attendance at seminars will be kept. Students should note that 80% attendance is expected.

Students connect to the Zoom seminar session by 10 minutes from the start of the seminar to qualify as ‘in attendance’. Attending the Zoom session for another student will be treated as misconduct.

From time to time, the seminar leader may check your attempts to answer seminar questions by asking questions. These are not part of the assessments but will give the seminar leader an idea on your progress during the term.

Quizzes on Assignments (30%)

There will be two assignments during the term. Assignments 1 and 2 will be made available in Week 1 and Week 4, respectively. In Week 3 and Week 7, there will be online quizzes to assess your mastery of Assignments 1 and 2, respectively. To complete the assignments, students will need to use econometric models to examine the relationships among key variables within given data sets. Each assignment will contain a number of questions that will help students assess their understanding of learned material - but the assignments themselves will not be submitted. The quizzes will be based on the questions in the assignments, and each quiz will be worth 15% of your total course mark. You must complete the assignments in order to be successful in the quizzes. The quizzes are scheduled on the Fridays of Week 3 and Week 7 respectively. More details will be provided on Moodle.

The purpose of the assignments is to test knowledge and understanding of econometric concepts, methodology, interpretation of results, and the ability to apply econometric reasoning in solving a realistic problem. The assignments will also provide a self-test of how you are doing in the course.

Project (25%)

In keeping with the main objectives of the course, students are expected to gain some experience in “doing econometrics”. The Project, which involves an empirical econometric analysis, serves this purpose. The Project will be released in Week 5. The Project should be done independently. The results of the analysis conducted in the Project must be presented in the form of a report in academic journal-article format. This report is due by Friday 5 pm in Week 10. The report must be typewritten in a Word file. Your name and student number must be clearly indicated on the cover page.

Note that although the questions about the Project may be clarified with your teaching staff, specific answers will not be provided as these will form part of the assessment. More details about the Project will be provided on Moodle.

Final Exam (45%)

A final examination will be held during the University’s final examination period. It will cover material from the entire course. The exam will be administered via Moodle and will be open-book. More details will be available once term begins.

The purpose of the final examination is to assess knowledge of econometric concepts, methodology and interpretation of results relating to the content covered in the course. It is designed to test your learning and understanding of both the theoretical and empirical aspects of different econometric techniques discussed.

It should take two hours for a well-prepared student to complete the exam and the exam will be available for a longer window than two hours, to accommodate any unforeseen technical problems.

Assignment Submission Procedure

Submission Procedure for Assignments

No submission is needed for your answers to Assignments 1 and 2. Instead, your completions of Assignments 1 and 2 will be tested via the quizzes. More details will be announced on Moodle.

Project Submission

Check that your name and student ID have been completed on the cover page of the Project, and then submit it via uploading the file through the Turnitin link on the course Moodle page by the specified due time of 5 pm on Friday of Week 10.

You should keep a copy of all work you submit for assessment.

All electronic copies of student work 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 or other academic misconduct may lead to heavy penalties.

Additional instructions on submission of the Project will be announced later via Moodle.

Assessment Feedback

Feedback on student performance from formative and summative assessment tasks will be provided to students in a timely manner. Assessment tasks completed within the teaching period of a course, other than a final assessment, will be assessed and students provided with feedback, with or without a provisional result, within 10 working days of submission, under normal circumstances. Feedback on continuous assessment tasks (e.g. laboratory and studio-based, workplace-based, weekly quizzes) will be provided prior to the midpoint of the course.

Special Consideration

You can apply for special consideration when illness or other circumstances beyond your control interfere with your performance in a specific assessment task or tasks, including online exams. Students studying remotely who have exams scheduled between 10pm and 7am local time, are also able to apply for special consideration to sit a supplementary exam at a time outside of these hours.

Special consideration is primarily intended to provide you with an extra opportunity to demonstrate the level of performance of which you are capable. To apply, and for further information, see Special Consideration on the UNSW Current Students page.

Special consideration applications will be assessed centrally by the Case Review Team, who will update the online application with the outcome and add any relevant comments. The change to the status of the application immediately sends an email to the student and to the assessor with the outcome of the application.

Please note the following:

Applications can only be made through Online Services in myUNSW. Applications will not be accepted by teaching staff. The lecturer-in-charge/course coordinator will be automatically notified when your application is processed.
Applying for special consideration does not automatically mean that you will be granted a supplementary exam or other concession.
If you experience illness or misadventure in the lead up to an exam or assessment, you must submit an application for special consideration, either prior to the examination taking place, or prior to the assessment submission deadline, except where illness or misadventure prevent you from doing so.
If your circumstances stop you from applying before your exam or assessment due date, you must apply within 3 working days of the assessment or the period covered by your supporting documentation.
Under the UNSW Fit To Sit/Submit rule, if you sit the exam/submit an assignment, you are declaring yourself well enough to do so and are cannot subsequently apply for special consideration.
If you become unwell on the day of – or during – an exam, you must stop working on your exam, advise your course coordinator or tutor and provide a medical certificate dated within 24 hours of the exam, with your special consideration application. For online exams, you must contact your course coordinator or tutor immediately via email, Moodle or chat and advise them you are unwell and submit screenshots of your conversation along with your medical certificate and application.
Special consideration requests do not allow the awarding of additional marks to students.

Further information on Business School policy and procedure can be found under “Special Consideration” on the Policies and Support page.

Late Submission Penalties

For assessments other than examinations, late submission will incur a penalty of 5% per day or part thereof (including weekends) from the due date and time. An assessment will not be accepted after 5 days (120 hours) of the original deadline unless special consideration has been approved. An assignment is considered late if the requested format, such as hard copy or electronic copy, has not been submitted on time or where the ‘wrong’ assignment has been submitted.

For assessments which account for 10% or less of the overall course grade, and where answers are immediately discussed or debriefed, the LIC may stipulate a different penalty. Details of such late penalties will be available on the course Moodle page.

Protocol for Viewing Final Exam Scripts

UNSW students have the right to view their final exam scripts, subject to a small number of very specific exemptions. The UNSW Business School has set a protocol under which students may view their final exam script. Individual schools within the Faculty may also set up a local process for viewing final exam scripts, so it is important that you check with your School. Further school-specific information may be included below.

Quality Assurance

The Business School 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 Business School programs. All material used for such processes will be treated as confidential.

5. Course Resources

Course website

The website for this course is on UNSW Moodle.

The website contains: (a) the course outline, the seminar documents and other course handouts; (b) the lecture notes and recordings; (c) data used in the seminar exercises and Project; (d) Stata code used in seminar exercises; (e) past exam papers; and (f) course announcements.

Students should consult this website at least once a week as it contains important information and updates about the course. It will be assumed that all students have seen every notice and announcement posted on the course website.

Textbook and readings

The textbook for this course is:

Wooldridge, J.M. (2019), Introductory Econometrics: A Modern Approach, 7e. South-Western.

This is the prescribed textbook for the course. It will be the primary source of extra reading for material covered in lectures. Assignments and some exercises will be taken from the book. Students can use the previous edition (6e) of the textbook.

Computing work

Computing is an essential part of this course. The Project and the assignments, on which the quizzes are based, cannot be completed without using econometric software.

Furthermore, exam questions may ask you to interpret various statistical output and you will need experience analysing and interpreting statistical output to answer the questions appropriately.

The econometric software used in this course is Stata. Assigned computer work may be done in the computing labs or by using myAccess to remotely access Stata. Alternatively, you can obtain a personal copy of Stata and install it on your own computer. 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. For more information, see Stata prices. The version of small Stata, which can handle only up to 99 variables x 1200 observations, is not recommended.

It is recommended that you use UNSW myAccess to access Stata from home. More details will be available on Moodle. Note that Stata may not be available via myAccess or on the computing labs until Week 1 or 2 of term. This is beyond the control of teaching staff.

There are lots of resources and support for Stata on the web. Particularly useful are the following websites:

For general help, browse through: Institute for Digital Research and Education, You can work through a tutorial at: Stata Tutorial.
For help on getting started.
For examples based on the Wooldridge textbook.

The manual by A.C. Acock, “A Gentle Introduction to Stata”, 4th edition, Stata Press, 2014 is an additional reference for further help.

6. Course Evaluation & Development

Feedback is regularly sought from students and continual improvements are made based on this feedback. At the end of this course, you will be asked to complete the myExperience survey, which provides a key source of student evaluative feedback. Your input into this quality enhancement process is extremely valuable in assisting us to meet the needs of our students and provide an effective and enriching learning experience. The results of all surveys are carefully considered and do lead to action towards enhancing educational quality.

The School of Economics strives to be responsive to student feedback. If you would like more information on how the design of this course and changes made to it over time have taken students’ needs and preferences into account, please contact the Director of Education at the School of Economics.

Students' course evaluations are very important for the further development of this course. Feedback provided by previous students has led to significant improvements in assessment items, review questions, exercises, and clarity of illustration.

Consent for De-Identified Data to be Used for Secondary Research into Improving Student Experience

To enhance your student experience, researchers at UNSW conduct academic research that involves the use of de-identified student data, such as assessment outcomes, course grades, course engagement and participation, etc. Students of this course are being invited to provide their consent for their de-identified data to be shared with UNSW researchers for research purposes after the course is completed.

Providing consent for your de-identified data to be used in academic research is voluntary and not doing so will not have an impact on your course grades.

Researchers who want to access your de-identified data for future research projects will need to submit individual UNSW Ethics Applications for approval before they can access your data.

A full description of the research activities aims, risks associated with these activities and how your privacy and confidentiality will be protected at all times can be found here.

If you consent to have your de-identified data used for academic research into improving student experience, you do not need to do anything. Your consent will be implied, and your data may be used for research in a format that will not individually identify you after the course is completed.

If you do not consent for this to happen, please email the opt-out form to seer@unsw.edu.au to opt-out from having your de-identified data used in this manner. If you complete the opt-out form, the information about you that was collected during this course will not be used in academic research.

7. Course Schedule

Note: for more information on the UNSW academic calendar and key dates including study period, exam, supplementary exam and result release, please visit: https://student.unsw.edu.au/new-calendar-dates

Week	Activity	Topic	Assessment/Other
Week 1: 13 February	Lecture	Introduction, Review of Multiple Regression, Endogeneity and instrumental variables (IV)	W: Ch. 1-9, 15 Slides-W1
Week 2: 20 February	Lecture	Instrumental Variables Estimation, 2SLS	W: Ch. 15 Slides-W2 Seminars start in Week 2.
Week 2: 20 February	Seminar	Seminar covers Week 1's lecture material	–
Week 3: 27 February	Lecture	Simultaneous equations models (SEM)	W: Ch. 16 Slides-W3 Assignment 1 quiz due 5 pm Friday
Week 3: 27 February	Seminar	Seminar covers Week 2's lecture material	–
Week 4: 6 March	Lecture	SEM continued, Binary choice models, Maximum likelihood (ML) estimation, Logit/probit models	W: Ch. 16, Ch. 17 Slides-W4
Week 4: 6 March	Seminar	Seminar covers Week 3's lecture material	–
Week 5: 13 March	Lecture	Tobit and Poisson models, Quasi ML estimation, Censored data	W: Ch. 17 Slides-W5 Project released
Week 5: 13 March	Seminar	Seminar covers Week 4's lecture material	–
Week 6: 20 March	No lecture	No lecture in Week 6	–
Week 6: 20 March	Seminar	Seminar covers Week 5's lecture material	–
Week 7: 27 March	Lecture	Truncated sample, Sample selection, Heckit correction.	W: Ch. 17, Appendix B Slides-W7 Assignment 2 quiz due 5 pm Friday
Week 7: 27 March	No Seminar	No seminar in Week 7	–
Week 8: 3 April	Lecture	Time series models, forecasting, cointegration	W: Ch. 10-12, 18 Slides-W8
Week 8: 3 April	Seminar	Seminar covers Week 7's lecture material.	–
Week 9: 10 April	Lecture	Panel data analysis: First Difference and Fixed effects models	W: Ch. 13-14 Slides-W9
Week 9: 10 April	Seminar	Seminar covers Week 8's lecture material.	–
Week 10: 17 April	No lecture	Panel data analysis: First Difference and Fixed effects models, continued (final lecture)	Project due by Friday 21 April, 5 pm.
Week 10: 17 April	Seminar	Final Seminar, covering lecture material from Weeks 9 and 10	–
Week 11: 25 April	Note & Assessment	Note: The above schedule is an approximation, and is subject to change.	–

8. Policies and Support

Information about UNSW Business School program learning outcomes, academic integrity, student responsibilities and student support services. For information regarding special consideration, supplementary exams and viewing final exam scripts, please go to the key policies and support page.

Program Learning Outcomes

The Business School places knowledge and capabilities at the core of its curriculum via seven Program Learning Outcomes (PLOs). These PLOs are systematically embedded and developed across the duration of all coursework programs in the Business School.

PLOs embody the knowledge, skills and capabilities that are taught, practised and assessed within each Business School program. They articulate what you should know and be able to do upon successful completion of your degree.

Upon graduation, you should have a high level of specialised business knowledge and capacity for responsible business thinking, underpinned by ethical professional practice. You should be able to harness, manage and communicate business information effectively and work collaboratively with others. You should be an experienced problem-solver and critical thinker, with a global perspective, cultural competence and the potential for innovative leadership.

All UNSW programs and courses are designed to assess the attainment of program and/or course level learning outcomes, as required by the UNSW Assessment Design Procedure. It is important that you become familiar with the Business School PLOs, as they constitute the framework which informs and shapes the components and assessments of the courses within your program of study.

PLO 1: Business knowledge

Students will make informed and effective selection and application of knowledge in a discipline or profession, in the contexts of local and global business.

PLO 2: Problem solving

Students will define and address business problems, and propose effective evidence-based solutions, through the application of rigorous analysis and critical thinking.

PLO 3: Business communication

Students will harness, manage and communicate business information effectively using multiple forms of communication across different channels.

PLO 4: Teamwork

Students will interact and collaborate effectively with others to achieve a common business purpose or fulfil a common business project, and reflect critically on the process and the outcomes.

PLO 5: Responsible business practice

Students will develop and be committed to responsible business thinking and approaches, which are underpinned by ethical professional practice and sustainability considerations.

PLO 6: Global and cultural competence

Students will be aware of business systems in the wider world and actively committed to recognise and respect the cultural norms, beliefs and values of others, and will apply this knowledge to interact, communicate and work effectively in diverse environments.

PLO 7: Leadership development

Students will develop the capacity to take initiative, encourage forward thinking and bring about innovation, while effectively influencing others to achieve desired results.

These PLOs relate to undergraduate and postgraduate coursework programs. For PG Research PLOs, including Master of Pre-Doctoral Business Studies, please refer to the UNSW HDR Learning Outcomes

Business School course outlines provide detailed information for students on how the course learning outcomes, learning activities, and assessment/s contribute to the development of Program Learning Outcomes.

UNSW Graduate Capabilities

The Business School PLOs also incorporate UNSW graduate capabilities, a set of generic abilities and skills that all students are expected to achieve by graduation. These capabilities articulate the University’s institutional values, as well as future employer expectations.

UNSW Graduate Capabilities	Business School PLOs
Scholars capable of independent and collaborative enquiry, rigorous in their analysis, critique and reflection, and able to innovate by applying their knowledge and skills to the solution of novel as well as routine problems.	PLO 1: Business knowledge PLO 2: Problem solving PLO 3: Business communication PLO 4: Teamwork PLO 7: Leadership development
Entrepreneurial leaders capable of initiating and embracing innovation and change, as well as engaging and enabling others to contribute to change	PLO 1: Business knowledge PLO 2: Problem solving PLO 3: Business communication PLO 4: Teamwork PLO 6: Global and cultural competence PLO 7: Leadership development
Professionals capable of ethical, self-directed practice and independent lifelong learning	PLO 1: Business knowledge PLO 2: Problem solving PLO 3: Business communication PLO 5: Responsible business practice
Global citizens who are culturally adept and capable of respecting diversity and acting in a socially just and responsible way.	PLO 1: Business knowledge PLO 2: Problem solving PLO 3: Business communication PLO 4: Teamwork PLO 5: Responsible business practice PLO 6: Global and cultural competence

While our programs are designed to provide coverage of all PLOs and graduate capabilities, they also provide you with a great deal of choice and flexibility. The Business School strongly advises you to choose a range of courses that assist your development against the seven PLOs and four graduate capabilities, and to keep a record of your achievements as part of your portfolio. You can use a portfolio as evidence in employment applications as well as a reference for work or further study. For support with selecting your courses contact the UNSW Business School Student Services team.

Academic Integrity and Plagiarism

Academic Integrity is honest and responsible scholarship. This form of ethical scholarship is highly valued at UNSW. Terms like Academic Integrity, misconduct, referencing, conventions, plagiarism, academic practices, citations and evidence based learning are all considered basic concepts that successful university students understand. Learning how to communicate original ideas, refer sources, work independently, and report results accurately and honestly are skills that you will be able to carry beyond your studies.

The definition of academic misconduct is broad. It covers practices such as cheating, copying and using another person’s work without appropriate acknowledgement. Incidents of academic misconduct may have serious consequences for students.

Plagiarism

UNSW regards plagiarism as a form of academic misconduct. UNSW has very strict rules regarding plagiarism. Plagiarism at UNSW is using the words or ideas of others and passing them off as your own. All Schools in the Business School have a Student Ethics Officer who will investigate incidents of plagiarism and may result in a student’s name being placed on the Plagiarism and Student Misconduct Registers.

Below are examples of plagiarism including self-plagiarism:

Copying: Using the same or very similar words to the original text or idea without acknowledging the source or using quotation marks. This includes copying materials, ideas or concepts from a book, article, report or other written document, presentation, composition, artwork, design, drawing, circuitry, computer program or software, website, internet, other electronic resource, or another person's assignment, without appropriate acknowledgement of authorship.

Inappropriate Paraphrasing: Changing a few words and phrases while mostly retaining the original structure and/or progression of ideas of the original, and information without acknowledgement. This also applies in presentations where someone paraphrases another’s ideas or words without credit and to piecing together quotes and paraphrases into a new whole, without appropriate referencing.

Collusion: Presenting work as independent work when it has been produced in whole or part in collusion with other people. Collusion includes:

Students providing their work to another student before the due date, or for the purpose of them plagiarising at any time
Paying another person to perform an academic task and passing it off as your own
Stealing or acquiring another person’s academic work and copying it
Offering to complete another person’s work or seeking payment for completing academic work

Collusion should not be confused with academic collaboration (i.e., shared contribution towards a group task).

Inappropriate Citation: Citing sources which have not been read, without acknowledging the 'secondary' source from which knowledge of them has been obtained.

Self-Plagiarism: ‘Self-plagiarism’ occurs where an author republishes their own previously written work and presents it as new findings without referencing the earlier work, either in its entirety or partially. Self-plagiarism is also referred to as 'recycling', 'duplication', or 'multiple submissions of research findings' without disclosure. In the student context, self-plagiarism includes re-using parts of, or all of, a body of work that has already been submitted for assessment without proper citation.

To see if you understand plagiarism, do this short quiz: https://student.unsw.edu.au/plagiarism-quiz

Cheating

The University also regards cheating as a form of academic misconduct. Cheating is knowingly submitting the work of others as their own and includes contract cheating (work produced by an external agent or third party that is submitted under the pretences of being a student’s original piece of work). Cheating is not acceptable at UNSW.

If you need to revise or clarify any terms associated with academic integrity you should explore the 'Working with Academic Integrity' self-paced lessons available at: https://student.unsw.edu.au/aim.

For UNSW policies, penalties, and information to help you avoid plagiarism see: https://student.unsw.edu.au/plagiarism as well as the guidelines in the online ELISE tutorials for all new UNSW students: http://subjectguides.library.unsw.edu.au/elise. For information on student conduct see: https://student.unsw.edu.au/conduct.

For information on how to acknowledge your sources and reference correctly, see: https://student.unsw.edu.au/referencing. If you are unsure what referencing style to use in this course, you should ask the lecturer in charge.

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 on the 'Managing your Program' website.

Workload

It is expected that you will spend at least ten to twelve hours per week studying for a course except for Summer Term courses which have a minimum weekly workload of twenty to twenty four hours. This time should be made up of reading, research, working on exercises and problems, online activities 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.

We strongly encourage you to connect with your Moodle course websites in the first week of semester. Local and international research indicates that students who engage early and often with their course website are more likely to pass their course.

View more information on expected workload

Attendance and Engagement

Your regular attendance and active engagement in all scheduled classes and online learning activities is expected in this course. Failure to attend / engage in assessment tasks that are integrated into learning activities (e.g. class discussion, presentations) will be reflected in the marks for these assessable activities. The Business School may refuse final assessment to those students who attend less than 80% of scheduled classes where attendance and participation is required as part of the learning process (e.g. tutorials, flipped classroom sessions, seminars, labs, etc.). If you are not able to regularly attend classes, you should consult the relevant Course Authority.

View more information on attendance

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.

View more information on student conduct

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.

View more information on Health and Safety

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.

Student Support and Resources

The University and the Business School provide a wide range of support services and resources for students, including:

Business School Learning Support Tools
Business School provides support a wide range of free resources and services to help students in-class and out-of-class, as well as online. These include:

Academic Communication Essentials – A range of academic communication workshops, modules and resources to assist you in developing your academic communication skills.
Learning consultations – Meet learning consultants who have expertise in business studies, literacy, numeracy and statistics, writing, referencing, and researching at university level.
PASS classes – Study sessions facilitated by students who have previously and successfully completed the course.
Educational Resource Access Scheme – To support the inclusion and success of students from equity groups enrolled at UNSW Sydney in first year undergraduate Business programs.

The Nucleus - Business School Student Services team
The Nucleus Student Services team provides advice and direction on all aspects of enrolment and graduation. Level 2, Main Library, Kensington 02 8936 7005 / https://nucleus.unsw.edu.au/en/contact-us

Business School Equity, Diversity and Inclusion
The Business School Equity, Diversity and Inclusion Committee strives to ensure that every student is empowered to have equal access to education. The Business School provides a vibrant, safe, and equitable environment for education, research, and engagement that embraces diversity and treats all people with dignity and respect. BUSEDI@unsw.edu.au

UNSW Academic Skills
Resources and support – including workshops, individual consultations and a range of online resources – to help you develop and refine your academic skills. See their website for details.
academicskills@unsw.edu.au

Student Support Advisors
Student Support Advisors work with all students to promote the development of skills needed to succeed at university, whilst also providing personal support throughout the process.
John Goodsell Building, Ground Floor.
advisors@unsw.edu.au
02 9385 4734

International Student Support
The International Student Experience Unit (ISEU) is the first point of contact for international students. ISEU staff are always here to help with personalised advice and information about all aspects of university life and life in Australia.
Advisors can support you with your student visa, health and wellbeing, making friends, accommodation and academic performance.
International.student@unsw.edu.au
02 9385 4734

Equitable Learning Services
Equitable Learning Services (formerly Disability Support Services) is a free and confidential service that provides practical support to ensure that your health condition doesn't adversely affect your studies. Register with the service to receive educational adjustments.
Ground Floor, John Goodsell Building.
els@unsw.edu.au
02 9385 4734

UNSW Counselling and Psychological Services
Provides support and services if you need help with your personal life, getting your academic life back on track or just want to know how to stay safe, including free, confidential counselling.
Level 2, East Wing, Quadrangle Building.
counselling@unsw.edu.au
02 9385 5418

Library services and facilities for students
The UNSW Library offers a range of collections, services and facilities both on-campus and online.
Main Library, F21.
02 9065 9444

Moodle eLearning Support
Moodle is the University’s learning management system. You should ensure that you log into Moodle regularly.
externalteltsupport@unsw.edu.au
02 9385 3331

UNSW IT
UNSW IT provides support and services for students such as password access, email services, wireless services and technical support.
UNSW Library Annexe (Ground floor).
02 9385 1333

Support for Studying Online

The Business School and UNSW provide a wide range of tools, support and advice to help students achieve their online learning goals.

The UNSW Guide to Online Study page provides guidance for students on how to make the most of online study.

We recognise that completing quizzes and exams online can be challenging for a number of reasons, including the possibility of technical glitches or lack of reliable internet. We recommend you review the Online Exam Preparation Checklist of things to prepare when sitting an online exam.

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Accreditation

ECON5408 Applied Econometric Methods - 2023

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1. Course Details

Summary of Course

Teaching Times and Locations

Course Policies & Support

Course Aims and Relationship to Other Courses

Student Learning Outcomes

2. Staff Contact Details

​Communication with staff

Student Enrolment Requests

3. Learning and Teaching Activities

Approach to Learning and Teaching in the Course

Learning Activities and Teaching Strategies

Lectures and Seminars

Discussion Forum

Learning strategies

4. Assessment

Formal Requirements

Assessment Structure

Assessment Summary

Seminar Participation

Quizzes on Assignments (30%)

Project (25%)

Final Exam (45%)

Assignment Submission Procedure

Submission Procedure for Assignments

Assessment Feedback

Special Consideration

Protocol for Viewing Final Exam Scripts

Quality Assurance

5. Course Resources

​Course website

Textbook and readings

6. Course Evaluation & Development

Consent for De-Identified Data to be Used for Secondary Research into Improving Student Experience

7. Course Schedule

8. Policies and Support

UNSW Graduate Capabilities

Plagiarism

Cheating

Workload

Attendance and Engagement

General Conduct and Behaviour

Health and Safety

Keeping Informed

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Communication with staff

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