ETC2410 - Introductory econometrics
6 points, SCA Band 3, 0.125 EFTSL
Undergraduate Faculty of Business and Economics
Leader(s): Professor Brett Inder, Dr Phillip Edwards and Dr George Athanasopoulos
This unit introduces students to the empirical analysis of relationships between economic variables. The approach is based on linear regression theory, and emphasises 'hands on' data analysis. Topics studied will include properties of least squares estimators, hypothesis testing, the choice of appropriate functional form, the use of dummy variables, issues around modelling survey data and the problems of serial correlation, heteroscedasticity and multicollinearity.
The learning objectives of this unit are to:
- understand and derive the properties of ordinary least squares in summation and matrix notation
- interpret, evaluate and apply inferential methods to multiple linear regression
- understand the use and implications of data scaling, functional form and dummy variables in regression modelling
- identify the presence of heteroscedasticity, adjust OLS standard errors and perform feasible GLS in regression models
- understand issues related to modelling with time-series data.
Within semester assessment: 40%
Examination (2 hours): 60%
Two 1-hour lectures and one 2-hour tutorial per week