Advanced Econometric Techniques
Subject ECOM90005 (2015)
Note: This is an archived Handbook entry from 2015.
Credit Points: | 12.5 | ||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2015: Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: One three-hour lecture per week. Total Time Commitment: Estimated total time commitment of 120 hours per semester | ||||||||||||
Prerequisites: |
ECOM40006 Econometric Techniques / ECOM90013 Econometric Techniques or equivalent.
Subject Study Period Commencement: Credit Points: | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: | None | ||||||||||||
Core Participation Requirements: |
For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/ |
Coordinator
Assoc Prof Christopher SkeelsContact
MBS @ Berkeley Street
Level 4, 198 Berkeley Street
Telephone: +61 3 8344 1670
Email: mbs-enquiries@unimelb.edu.au
Web: http://mbs.unimelb.edu.au/
Subject Overview: |
This course is designed to introduce you to the mathematical underpinnings of the main tools used in empirical economics. Special emphasis will be given to three topics: models of probability, methods of estimation, and methods of inference. Simple mathematical analysis, in particular both differential and integral calculus as well as linear algebra, will be used extensively throughout the course. In an effort to bridge the gap between analytic, closed-form methods and numerical methods, you will also be introduced to a high-level matrix and programming language, Matlab, to provide you with a basis to solve problems which have no closed-form solutions. |
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Learning Outcomes: |
On successful completion of this subject students should be able to:
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Assessment: |
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Prescribed Texts: | You will be advised of prescribed texts by your lecturer. |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
On successful completion of this subject, students should have improved the following generic skills:
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Related Course(s): |
Doctor of Philosophy - Business and Economics Master of Economics |
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