- Code IDEC8017
- Unit Value 6 units
- Offered by Crawford School of Public Policy
- ANU College ANU College of Asia and the Pacific
- Course subject International and Developmental Economics
- Areas of interest Economics
- Academic career PGRD
- AsPr Hoa Nguyen
- Mode of delivery In Person
Second Semester 2024
See Future Offerings
This course is available for on-campus & remote (online) learning. All students participate in interactive, real-time classes.
This course introduces students to the techniques of econometrics. The emphasis is on the essential ideas and the applications of econometric methods, with the material derived using a mixture of rigour and intuition. The course covers appropriate tools for cross-sectional (observations on several economic units - usually countries, firms or households - at a single point in time), time series (observations for one economic unit over time), and panel (observations on several economic units followed through time) datasets. It starts with the linear regression model and then move to introductions to micro-econometric and macro-econometric techniques.
Upon successful completion, students will have the knowledge and skills to:
- Understand the essential ideas and applications of econometric methods.
- Understand different types of data (times series and cross-sectional) and their associated problems and solutions.
- Analyse simple datasets using econometric software (R).
- Present econometric results in a readily usable form and be able to interpret and explain econometric results.
- Understand how econometric methods can be used to provide evidence for making policy decisions.
- Two group assignments (25) [LO 1,2,3,4,5]
- Two quizzes (20) [LO 1,2,3,4,5]
- Group presentation (5) [LO 1,2,3,4,5]
- Final examination (50) [LO 1,2,3,4,5]
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.
The standard workload for a 6 unit course is 120 hours including class time and independent study.
Verbeek, M., 2017. A Guide to Modern Econometrics, Wiley, 5th ed.
Wooldridge, J., 2019. Introductory Econometrics: A Modern Approach, South-Western, 7th ed.
Some students prefer Wooldridge’s lengthier explanations and examples while others like the Verbeek textbook for being concise, precise, and technical. The combination is recommended though it would be fine if you just want to read one textbook. The lecture notes follow the Verbeek text.
Angrist and Pischke, 2011. Mostly Harmless Econometrics, Princeton University Press.
Students should have a background with at least undergraduate study of economics, including courses in basic mathematics and statistics for economics.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7231||22 Jul 2024||29 Jul 2024||31 Aug 2024||25 Oct 2024||In Person||N/A|
|8939||22 Jul 2024||29 Jul 2024||31 Aug 2024||25 Oct 2024||Online||N/A|