Econometric Theory and Application
PostgraduateCUR-PA5102021
Course information for 2021 intake
Recap on statistics before taking a deep dive into linear regression analysis – a skill that allows professionals to forecast future trends. Cover simultaneous equation models, selected time-series data analysis methods and more.
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- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Part of a degree
- Duration
- 13 weeks
- Loan available
- FEE-HELP available
Econometric Theory and Application
About this subject
At the completion of the subject students will be able to:
- explain the theoretical foundation behind linear regression analysis
- examine the assumptions and properties of various estimators, including least squares estimators and Maximum Likelihood estimator
- formulate economic/financial hypotheses into statistically testable forms and conduct these tests using real-life economic/financial data
- evaluate the adequacy of various statistical models/tests as they are applied to real life data
- identify and examine various applied topics in econometrics.
- Statistics and Probability Review
- Classical Linear Regression and Least Squares (LS) Estimation
- Multivariate Linear Regression Model
- Properties of LS Estimator; Statistical Inferences and Hypothesis Testing
- Heteroskedasticity, Autocorrelation
- Diagnostic Testing
- Simultaneous equation models,
- Time-series analysis
- Volatility modelling
- Discrete-choice models
The subject starts with a brief review of statistics and probability theories. It then discusses the theory of linear regression analysis.The second part of the subject will be devoted to applied topics in econometrics, including: simultaneous equation models, qualitative and limited dependent variable models, and selected time-series data analysis methods. The practical uses of the techniques introduced in the subject are demonstrated through their applications to the analysis of economic/financial data in laboratory classes.
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- Project (50%)
- Case study (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
To enrol in this subject, you must be admitted into a degree.
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.