Note: This is an archived Handbook entry from 2009. Search for this in the current handbook
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2009:Semester 1, - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: Two 1-hour lectures and a 1-hour tutorial/seminar per week (Semester 1). |
Total Time Commitment: Not available
|Prerequisites:||Introductory Econometrics or equivalent.|
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|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
CoordinatorAssoc Prof Christopher Skeels
|Subject Overview:||This subject examines multiple regression analysis and its use in economics, management, finance, accounting and marketing. Topics will include the properties of estimators, hypothesis testing, specification error, multicollinearity, dummy variables, heteroskedasticity, serial correlation. Empirical assignments undertaken by the student form an integral part of the subject.|
On successful completion of this subject students should be able to:
|Assessment:||A 2-hour end-of-semester examination (70%) and class assignments totalling approximately 3000 words (30%).|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On successful completion of this subject, students should have improved the following generic skills:
|Notes:||Students may not gain credit for both 316-635 Basic Econometrics and either 316-316 Basic Econometrics or 316-205 Introductory Econometrics|
Master of Commerce - Economics |
Master of Commerce - Finance
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