(BUS)
Dr Gael Martin
6 points + Two 1-hour lectures and one 2-hour tutorial per week + First and second semester + Clayton + Prerequisite: ETC1031 or equivalent + Prohibitions: ETC2410, ETC3440
Synopsis: An introduction to linear multiple 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%