316-317 Econometrics

Note

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

Credit Points

12.5

Coordinator

Professor W Griffiths

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.

Semester

1 (view timetable)

Contact

Two 1-hour lectures and a 1-hour tutorial/practice class per week

Subject Description

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.

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.

Assessment

A 2-hour end-of-semester examination (65%), class assignments up to 3200 words in total (32%), and tutorial attendance and participation (3%).



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