- 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
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.
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.
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.
Additional Course Costs
Examination Material or equipment
Calculator (non programmable)
Unannotated paper-based dictionary
Staff FeedbackStudents 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 FeedbackANU 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.
|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 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
PoliciesANU 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 RequirementsThe 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 AssessmentMarks 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
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
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7
90-minute length in standard closed-book format, likely in week 7.
Assessment Task 3
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7
Three hour length in the standard closed-book format.
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Online SubmissionThe 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 SubmissionFor 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.
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.
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Resubmission of Assignments
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Applied Economics, Microeconometrics, Poverty and Inequality, Food Policy
Dr Hoa Nguyen
Dr Hoa Nguyen