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Data Analysis and Econometrics
Undergraduate | SWI-ECO30003 | 2020
Course information for 2020 intake
Apply your data analysis studies towards solving real-world problems.
Employ mathematics and statistics to dig into economic issues. Explore the possibilities of regression analysis. Operate Windows-based statistical software and commercial databases.
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Prior study needed
- Duration
- 13 weeks
HECS-HELP and FEE-HELP available
Data Analysis and Econometrics
About this subject
Students who successfully complete this subject will be able to:
- Demonstrate an understanding of important econometric methods and interpret estimation results
- Analyse the concepts of model specification and diagnostic testing procedure in time series and cross sectional econometrics
- Solve problems using econometric computer software and commercial databases
- Work in groups to solve econometric problems and clearly communicate their results and interpretations.
- Linear regression
- Interval estimation and hypothesis testing
- Prediction, goodness of fit and modeling issues
- Multiple regression model
- Further inference in the multiple regression model
- Nonlinear relationships
- Heteroskedasticity
- Dynamic models, autocorrelation and forecasting
- Non-stationary time series data and cointegration
- Qualitative and limited dependent variable models
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.
- Online Assessment - Individual (20-30%)
- Presentation Group (10-20%)
- Project Report (10-20%)
- Invigilated Exam Individual (40-60%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must have successfully completed the following subject(s) before starting this subject:
SWI-FIN10002-Financial Statistics (no longer available)
Others
You must also complete 150 credit points (12 OUA subjects) in addition to FIN10002 before undertaking this subject.
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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