Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject is not offered in 2014.
|Time Commitment:||Contact Hours: Two 1-hour lectures and a 1-hour tutorial per week |
Total Time Commitment: Not available
One of the following:
Study Period Commencement:
Semester 1, Semester 2
Semester 1, Semester 2
|Recommended Background Knowledge:|| |
Please refer to Prerequisites and Corequisites.
|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/
Topics include review of statistics; F and X 2 distributions; review of simple linear regression model; multiple linear regression model; hypothesis testing, forecasting, diagnostics with regression models (including heteroskedasticity, serial correlation and model specification). Examples drawn from economics, finance, accounting, marketing and management will be illustrated using EVIEWs.
A 2-hour end-of-semester examination (65% or 75%), an optional mid-semester multiple choice test in week 5 (0% or 10%), Assignment 1 (10%) due week 8: 10 pages A4, Assignment 2 (10%) due week 12: 10 pages A4, and tutorial attendance and participation (5%). The final mark will be calculated by weighting the end-of-semester exam at 65% and the mid-semester test at 10% OR by weighting the end-of-semester exam at 75% and the mid-semester test at 0%, whichever gives the higher mark.
|Prescribed Texts:|| |
You will be advised of prescribed texts by your lecturer.
|Breadth Options:|| |
This subject potentially can be taken as a breadth subject component for the following courses:
You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Graduate Diploma in Economics |
|Related Breadth Track(s):||
Statistical Literacy |
Quantitative Methods in Economics
Economics &&& Finance
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