• Class Number 7449
  • Term Code 3060
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Hoa Nguyen
    • Dr Hoa Nguyen
  • Class Dates
  • Class Start Date 27/07/2020
  • Class End Date 30/10/2020
  • Census Date 31/08/2020
  • Last Date to Enrol 03/08/2020
    • Dr Hoa Nguyen
SELT Survey Results

This course is an introduction for economics graduate students to the techniques of econometrics. The emphasis is on the essential ideas and the applications of econometric methods rather than on technical and theoretical details. However the results are not just presented but instead are derived using a mixture of rigour and intuition so as to leave as few loose ends as possible. We recognise that available economic data are either cross sectional (observations on several economic units - usually countries, firms or households - at a single point in time) or time series (observations one economic unit over time), or panel (observations on several economic units followed through time), and each type of data may need its special set of tools. We start with the linear regression model, which is the simplest model for explaining one variable using several explanatory variables, and then move to an introduction to ‘micro-econometrics', i.e., methods most useful for the analysis of cross sectional data, and an introduction to ‘macro-econometrics', i.e., methods most useful for the analysis of aggregate data over time.

Learning Outcomes

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

On completion of the course you should be able to understand most of the econometric results that are presented in the applied economics literature and make critical assessments of those results. You should also be able to produce good estimates in fairly simple situations and provide coherent interpretation of those results, including any caveats on their use. Particular skills include:

  • interpret regression coefficients in linear and nonlinear regression models
  • assess the fit and statistical significance of econometric relationships
  • construct interval estimates and hypothesis tests of interesting economic hypotheses, including those involving several parameters
  • distinguish different forms of data and the models appropriate for them: cross section and time series
  • critically assess choices of functional form
  • understand the assumptions in the statistical model, the consequences of failure and methods of detection
  • use the statistical package.

Research-Led Teaching

This course is research-focused in the sense that students are required to apply econometric techniques to real data and answer questions that are policy relevant.

Field Trips


Additional Course Costs


Examination Material or equipment

Calculator (non programmable)

Unannotated paper-based dictionary

Required Resources



Staff Feedback

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

Student Feedback

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

Class Schedule

Week/Session Summary of Activities Assessment
1 Lecture - Week 1-4: Simple and multiple regression analysis Wooldridge, 2011. Chapters 1, 2, 3, 4 Verbeek, 2008. Chapter 2 Angrist and Pischke, 2011. Chapters 2 and 3. Assessment Task 1
2 Lecture - Week 4-5: Asymptotic analysis and further issues in multiple regression analysis Wooldridge, 2011. Chapters 5 and 6 Verbeek, 2008. Chapter 2 (Sections 2.5 and 2.6) and chapter 3 (Sections 3.1-3.3)
3 Lecture - Week 5-6: Heteroskedasticity and autocorrelation Wooldridge, 2011. Chapters 8 and 12 Verbeek, 2008. Chapter 4
4 Lecture - Weeks 6, 9, 10: Endogeneity, instrumental variables, GMM, and Fixed/Random Effects Models Wooldridge, 2011. Chapters 13, 14, 15 and 16 Verbeek, 2008. Chapter 4 Angrist and Pischke, 2011. Chapter 4 Trevor Breusch, Michael B. Ward, Hoa Thi Minh Nguyen and Tom Kompas, 2011. “On the Fixed-Effects Vector Decomposition”, Political Analysis, 19: 123-134. Assessment Task 1 Assessment Task 2
5 Lecture - Week 10-12: Regression analysis with time series data Wooldridge, 2011. Chapter 18 Verbeek, 2008. Chapter 8 (sections 8.1, 8.3, 8.4) and chapter 9 (sections 9.1, 9.2) Assessment Task 1
6 Lecture: Limited dependent variable models (if there is enough time) Wooldridge, 2011. Chapter 17 (Section 17.1) Verbeek, 2008. Chapter 7 (Section 7.1)
7 Examnation Period Assessment Task 3

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Assignments 15 % 24/08/2020 09/09/2020 1, 2, 3, 4, 5, 6, 7
Mid-semester examination 25 % 21/09/2020 28/11/2020 1, 2, 3, 4, 5, 6, 7
Final examination 60 % 31/10/2020 28/11/2020 1, 2, 3, 4, 5, 6, 7

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


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

Assessment Requirements

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

Moderation of Assessment

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




Two exams in the standard closed-book format

Assessment Task 1

Value: 15 %
Due Date: 24/08/2020
Return of Assessment: 09/09/2020
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7


Two assignments, 7.5% each. The purpose of assignments are to train students in how to conduct analysis and present econometric results. Therefore, some of the questions in these assignments will require a computational exercise to obtain results which are then written up into a report. Furthermore, assignments will give students some training in how to become a relatively independent researcher by asking them to perform some analysis not (well) covered in the course.

Due: tentatively August 28, and Oct 16

Assessment Task 2

Value: 25 %
Due Date: 21/09/2020
Return of Assessment: 28/11/2020
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7

Mid-semester examination

90-minute length in standard closed-book format, likely in week 7.

Assessment Task 3

Value: 60 %
Due Date: 31/10/2020
Return of Assessment: 28/11/2020
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7

Final examination

Three hour length in the standard closed-book format.

Academic Integrity

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

Online Submission

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Hardcopy Submission

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

Late Submission

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

Referencing Requirements

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

Returning Assignments

Assignments will be returned within two weeks after the due date. Results of mid-semester exam will be published within 20 days after the exam date. Students can see their marked exam scripts by making an appointment with the Crawford School's Student Services.

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.

Resubmission of Assignments

Not allowed

Privacy Notice

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

Distribution of grades policy

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

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
Dr Hoa Nguyen
02 6125 8447

Research Interests

Applied Economics, Microeconometrics, Poverty and Inequality, Food Policy

Dr Hoa Nguyen

Dr Hoa Nguyen
02 6125 8447

Research Interests

Dr Hoa Nguyen

Dr Hoa Nguyen
02 61258447

Research Interests

Dr Hoa Nguyen

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