Econometrics

Subject 316-317 (2009)

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

Credit Points: 12.50
Level: 3 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2009:

Semester 1, - 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:

One of 316-201 Intermediate Macroeconomics or 316-202 Intermediate Microeconomics or 333-201 Business Finance. One of 316-205 Introductory Econometrics, 316-316 Basic Econometrics, 620-202 Statistics, or an H2A or better in 316-206 Quantitative Methods 2.

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

Prof Vance Lindsay Martin
Subject Overview:

Extensions of the multiple regression model are examined. Topics include non-linear least squares, maximum likelihood estimation and related testing procedures, generalised least squares, heteroskedasticity, autocorrelation and models with stochastic regressors. Limited dependent variable and panel data models and issues involving time-series data are introduced. Theoretical concepts are illustrated by applied examples. The computer software used is Eviews.

Objectives: .
Assessment:

A 2-hour end-of-semester examination (65%), class assignments up to 3200 words in total (32%), and tutorial attendance and participation (3%).
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; application of theory to practice; interpretation and analysis; evaluation of data and other information; use of computer software.

  • Moderate level of development: written communication; collaborative learning; team work; critical thinking; synthesis of data and other information.

  • Some level of development: accessing data and other information from a range of sources.
Notes:

Students who are currently enrolled in 316-316 Basic Econometrics are not eligible to enrol in 316-317 Econometrics.

Related Course(s): Master of Economics
Postgraduate Diploma In Economics
Related Majors/Minors/Specialisations: Economics
Economics

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