Introduction to Econometrics
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Subjects may require attendance
- 22 Feb 2021
QS RANKING 2021
Times Higher Education Ranking 2021
Upon completion of this subject, the student should be able to:
- Select, specify and use appropriate data and linear econometric models to inform economic and business decisions
- Identify and evaluate the causes, consequences and remedies for violations of the classical linear regression model's assumptions
- Demonstrate knowledge of statistical software as well as Interpret and communicate output from statistical software.
- The nature of econometrics and economic data
- Fundamentals of probability and statistics
- Simple linear regression: estimation
- Simple linear regression: inference
- Units of measurement and functional form
- Introduction to matrix algebra
- Multiple regression: mechanics and interpretation
- Multiple regression: inference
- Multiple regression: further issues
- Modelling qualitative information
- Heteroskedasticity and weighted least squares estimation
No eligibility requirements
No special requirements
The goal of the subject is to develop a thorough understanding of basic econometric methods so that the student can, at the end of this subject: Critically evaluate empirical studies in economics and finance which involve use of simple econometric techniques in estimation and inference; Develop an appreciation of the likely problems in data and know how to deal with them; Obtain a good background for a further study in econometrics and applied economics. This subject is compulsory in all majors in the Bachelor of Economics degree and in combined Economics degrees and it is also a compulsory subject in the Finance major. This subject is the prerequisite for BEA342 Econometrics which itself is the prerequisite for the Honours program in economics and finance.
- Applied Assignment (40%%)
- x5 Quizzes (20%%)
- Final Exam (40%%)
Current study term: 21 Feb 21 to 30 May 21
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