EMET8014 Advanced Econometric Methods

EMET8014 is only available under certain award programs.

Offered By	School of Economics
Academic Career	Graduate Coursework
Course Subject	Econometrics
Offered in	First Semester, 2010 and First Semester, 2011
Unit Value	6 units
Course Description	This is an advanced course on econometric theory. It will stress fundamental ideas and general concepts, so that students can draw connections between various methods presented in other courses, and learn to derive key theoretical results from first principles. Underlying mathematical concepts such as linear algebra and probability will receive careful treatment. The course will also introduce students to the statistical programming environment R. R is open source software developed by the statistical community. Students will be learn to complete basic programming tasks and produce graphical output. R is a more sophisticated statistics environment than Eviews or the like, with a steeper learning curve. Familiarity with the language will take students a step closer to modern, computationally intensive statistical methods used in business and academia.
Learning Outcomes	This course covers the core tools of econometrics in sufficient detail so that students can understand and implement more advanced methods of modelling. Principles of inference are drawn from the generalised method of moments and the method of maximum likelihood. Underlying probability theory is discussed in enough depth to see how it is used in the econometric methods. Emphasis is given to unifying the ideas, so that students can see the connections between methods that are usually presented in elementary courses as isolated one-off solutions to particular problems. The basic material is reviewed from these broader perspectives and the principles are then extended to more complicated models. The insights gained will enable students to understand advanced modelling approaches.
Indicative Assessment	Assessment will consist of two assignments, a mid-term exam and a final exam. The weighting is: Assignment 1: 15% Assignment 2: 25% Mid-term Exam: 25% Final Exam: 35%
Workload	8 hours per week (including class time)
Course Classification(s)	AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs.
Areas of Interest	Econometrics
Eligibility	An honours degree in Economics with H2A or higher, or completion of a Graduate Diploma in Economics with an exit grade of Merit or better
Prescribed Texts	See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=EMET8014
Preliminary Reading	See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=EMET8014
Indicative Reading List	See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=EMET8014
Programs	Graduate Diploma in Economics, Graduate Diploma in Applied Economics, Graduate Diploma in Economic Policy, Master of Economics, Master of Applied Economics, Master of Economic Policy, Master of International Trade and Economic Relations, Master of Health Economics, Master of International and Development Economics, and Master of Environmental and Resource Economics
Other Information	For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=EMET8014
Academic Contact	See http://ecocomm.anu.edu.au/courses/course.asp?code=EMET8014

The information published on the Study at ANU 2010 website applies to the 2010 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2009 website.