Forecasting in Economics and Business

Subject 316-211 (2009)

Note: This is an archived Handbook entry from 2009. Search for this in the current handbook

Credit Points: 12.50
Level: 2 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2009:

Semester 2, - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


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/practice class per week
Total Time Commitment: Not available
Prerequisites:

316-205 Introductory Econometrics or 316-206 Quantitative Methods 2 or 325-210 Managerial Decision Analysis or 325-212 Market Research.

Corequisites: None
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

Coordinator

Assoc Prof K Shields
Subject Overview:

This subject is an introduction to single equation forecasting methods and their applications to business, finance, economics and marketing. Special emphasis will be given to core forecasting techniques with the widest applicability. Attention will be paid to modelling and forecasting trends and cycles with topics including forecasting regression models, leading indicators, exponential smoothing methods, ARIMA models, pooling forecast procedures and forecast evaluation. The subject is applications-orientated and will make use of the computer software Eviews.
Objectives: .
Assessment:

A 2-hour examination (70%) and class assignments totalling not more than 3000 words (30%).
Prescribed Texts: None
Recommended Texts:

Information Not Available
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
Generic Skills:

  • High level of development: problem solving; statistical reasoning; interpretation and analysis; critical thinking; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources.

  • Moderate level of development: oral communication; team work; application of theory to practice; receptiveness to alternative ideas.

  • Some level of development: written communication; collaborative learning.
Related Majors/Minors/Specialisations: Economics Major

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