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This subject provides an introduction to econometrics, which involves using data and statistical methods to estimate economic relationships, test economic theory, and predict the impact of policy. Topics covered include probability and statistics, single linear regression, multiple linear regression, non-linear regression, model internal and external validity, field and natural experiments, and time series models. Econometric methodology and application will be motivated and illustrated through applications to economics, accounting, finance, marketing, and management.
Intended learning outcomes
On successful completion of this subject, students should be able to:
- Apply least-squares method of estimation and inference to the context of single and multiple linear regression.
- Use statistical program to estimate econometric models, test hypotheses, and undertake forecasting exercises.
- Understand and explain various problems that arise in the development and interpretation of econometric models including multicollinearity, specification error, heteroskedasticity, autocorrelation, internal validity and external validity.
- High level of development: written communication; collaborative learning; problem solving; team work; statistical reasoning; application of theory to practice; interpretation and analysis; critical thinking; synthesis of data and other information; use of computer software.
- Moderate level of development: oral communication; evaluation of data and other information; accessing data and other information from a range of sources; receptiveness to alternative ideas.
Last updated: 15 May 2020