Note: This is an archived Handbook entry from 2015.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2015:Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: Seminars, or lectures and tutorials totalling three hours per week |
Total Time Commitment:
|Recommended Background Knowledge:||
Please refer to Prerequisites. Computer programming experience in MATLAB, C, Java or some other language is helpful, but not necessary.
|Non Allowed Subjects:||
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorDr David Byrne
This course teaches students how to build econometric models from economic theory to investigate how markets operate, and evaluate policy-relevant questions. Applications of econometric tools developed in this course will be highlighted in various fields of economics including industrial organisation, public economics, health, and others. Examples of topics covered include: firms' use of price discrimination as a profit-maximising strategy; measuring the welfare effects of mergers for antitrust analysis; identifying strategic interaction amongst governments and its impact on policy decisions; and quantifying moral hazard and adverse selection in health insurance markets. Basic topics in numerical analysis will also be covered, including optimisation, numerical integration, and numerical differentiation. The computer software used is MATLAB.
180 minute end-of-semester exam (60%)
4 class assignments in computer code totalling a minimum of 40 hours work (10 hours per assignment) (40%)
|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|
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