Introduction to Econometrics

• • 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
  • Autocorrelation

No eligibility requirements

Special 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%%)