- Code EMET3007
- Unit Value 6 units
- Offered by Research School of Economics
- ANU College ANU College of Business and Economics
- Course subject Econometrics
- Areas of interest Econometrics
Accurate forecasting of future events and their outcomes is a crucial input into a successful business or economic planning process. This course provides an introduction to the application of various forecasting techniques. The methods include trend curve extrapolation smoothing, autoregressions, regression modelling, leading indicators. The course also looks at techniques for the evaluation of performance of forecasting methods and examines the role of forecasts in the decision making process. Students will learn how to use the various techniques in real world forecasting applications.
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of the requirements for this course, students will be able to:
• Understand various important concepts in forecasting and different approaches for modelling trend, seasonality and persistence
• Use the analytical tools that econometricians employ to analyze data
• Tailor-make models for their applications and use them to produce forecasts
• Complete basic programming tasks, including reading and modifying existing codes
See the course outline on the College courses page. Outlines are uploaded as they become available.
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WorkloadThree contact hours per week.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and 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). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings and Dates
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7485||22 Jul 2019||29 Jul 2019||31 Aug 2019||25 Oct 2019||In Person||N/A|