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Undergraduate |
(BUS)
|
Leader: Dr Gael Martin and Dr Simone Grose
Offered:
Clayton First semester 2005 (Day)
Clayton Second semester 2005 (Day)
Synopsis: An introduction to multiple linear regression methods, including their use in estimating and testing the validity of models in economics, finance and business. Topics covered include the classical assumptions underlying the linear model; the properties of the ordinary least squares estimator; probability distributions and their application to interval estimation and hypothesis testing; the generalised least squares estimator; an introduction to the problems of heteroscedasticity, serial correlation, multicollinearity, structural breaks and stochastic regressors.
Assessment: Test (50 mins): 15% + Computer-based assignment: 25% + Examination (2 hours): 60%
Contact Hours: Two 1-hour lectures and one 2-hour tutorial per week