- LINEAR REGRESSION
- INTERVAL ESTIMATION AND HYPOTHESIS TESTING
- PREDICTION, GOODNESS OF FIT AND MODELING ISSUES
- THE MULTIPLE REGRESSION MODEL
- FURTHER INFERENCE IN THE MULTIPLE REGRESSION MODEL
- NONLINEAR RELATIONSHIPS
- DYNAMIC MODELS, AUTOCORRELATION AND FORECASTING
- NON-STATIONARY TIME SERIES DATA AND COINTEGRATION
- QUALITATIVE AND LIMITED DEPENDENT VARIABLE MODELS
You must have successfully completed the following subject(s) before starting this subject:
You must also complete 150 credit points (12 OUA subjects) before undertaking this subject.
No special requirements
This subject is designed so that students learn fundamental techniques of data analysis, basic econometric methods and learn to use data to solve real-world problems by estimating relevant parameters (such as elasticities, marginal values etc). Students acquire expertise in applying data analysis and econometric methods, including regression analysis and its extensions, to various types of data. Students also learn how to use econometrics to test theory, analyse economic and business behaviour, and assist in policy formation. The subject is application orientated and practical work is performed using Windows-based statistical software.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Assignment 1 - Individual (25-40%)
- Assignment 2 - Group (10-25%)
- Assignment 3 - Group (10-15%)
- Assignment 4 - Individual (40-55%)