Leader: Dr Paul Kim

Offered

Caulfield First semester 2008 (Day)

Synopsis

Presents the basic econometric methodology in model building and model evaluation in general, the treatment of autocorrelation, lagged relationship, qualitative variables, multicollinearity and heteroskedasticity. In particular, covers estimation and evaluation of multiple regression models and testing for the validity of various theories in areas of business and finance. Use of EVIEWS software for data analysis and applied research projects.

Objectives

The learning goals associated with this unit are to:

• conduct linear regression analysis for business and economic applications
• conduct the diagnostic tests for regression
• evaluate the time series properties of business and economic time series
• estimate the long run relationship among time series in business and economics
• test for the causality among business and economic time series.

Assessment

Within semester assessment: 60%
Examination (2 hours): 40%

Contact hours

One 2-hour lecture and one 1-hour tutorial/practical per week

Prerequisites

Students must be enrolled in course codes 3814, 3815, 3816 or 3822 or must have passed ETX2121 or MBA9007.

Prohibitions

ETF3200