Note: This is an archived Handbook entry from 2013.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2013:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 3 hours of lectures and seminars per week |
Total Time Commitment: Not available
Approval of Department of Economics Graduate Programs Director.
|Recommended Background Knowledge:|| |
Undergraduate preparation in calculus and linear algebra.
|Non Allowed Subjects:|| |
|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/
CoordinatorDr May Li
This course is an advanced introduction to computational methods for economists, methods that increasingly play an essential role in applied economic research. Students will learn to formulate and to solve structural economic models and to apply these methods to substantive issues in econometrics, industrial organisation, labour economics, and macroeconomics. The course emphasises both theoretical knowledge of computational methods and practical skills. Programming will be done in MATLAB.
On successful completion of this subject students should be able to:
By the end of this course, students will have received a detailed introduction to:
|Prescribed Texts:|| |
Judd, K. Numerical Methods in Economics, MIT Press.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Doctor of Philosophy - Business and Economics |
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