- Code EMET3004
- 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
- Academic career UGRD
- Dr Juergen Meinecke
- Mode of delivery In Person
- Co-taught Course
Second Semester 2016
See Future Offerings
The course studies important extensions of the linear regression model. Topics include: endogeneity, natural experiments, binary dependent variables, time series regressions and panel data estimation. This is a hand-on course with a focus on applications in economics as well as business. A standard statistical software will be used during computer sessions, no special programming skills are required.
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of the requirements for this course, students will
- understand the challenges of empirical modelling in economics and business
- understand the shortcomings of the standard linear regression model
- be able to apply important extensions to the linear regression model
- be able to express new econometric methods mathematically
- be able to think clearly about the relationship between data, model and estimation in econometrics
- use statistical software to study actual data sets
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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.
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- International fee paying students
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|
|7680||18 Jul 2016||29 Jul 2016||31 Aug 2016||28 Oct 2016||In Person||N/A|