Econometrics

Subject ECOM30002 (2012)

Note: This is an archived Handbook entry from 2012.

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

This subject has the following teaching availabilities in 2012:

Semester 1, Parkville - 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:

Subject
Study Period Commencement:
Credit Points:
Semester 1, Semester 2
12.50
Semester 1
12.50
Semester 2
12.50

or a grade of H2A or above in ECON20002 Quantitative Methods 2,

AND one of:

Subject
Study Period Commencement:
Credit Points:
Summer Term, Semester 1
12.50
January, Semester 1, Semester 2
12.50
Corequisites: None
Recommended Background Knowledge: Please refer to Prerequisites and Corequisites.
Non Allowed Subjects: Students who are currently enrolled in ECOM30002 Econometrics are not eligible to enrol in ECOM30001 Basic Econometrics.
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/

Coordinator

Prof Vance Martin

Contact

vance@unimelb.edu.au

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: Information not available.
Assessment:

A 2-hour end-of-semester examination (65%); class assignments up to 3500 words (35%) due weekly
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
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 Accounting
Master of Accounting
Master of Economics
Postgraduate Diploma In Economics
Related Majors/Minors/Specialisations: Economics
Economics

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