- One semester or equivalent
- 24 hours face to face + blended
On-campus unit delivery combines face-to-face and digital learning.
150 credit points from a Bachelor Degree
Aims and objectives
This unit 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 statistical software.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1. Demonstrate an understanding of important econometric methods and interpret estimation results.
2. Analyse the concepts of model specification and diagnostic testing procedure in time series and cross sectional econometrics.
3. Solve problems using econometric computer software and commercial databases.
4. Work in groups to solve econometric problems and clearly communicate their results and interpretations.