This course provides an introduction to econometric methods and its applications. Its theoretical framework is based on standard linear regression theory, but the course emphasises economic applications and hands on data analysis using modern computer software. Topics studied will include the properties of least squares estimators, hypothesis testing, prediction, the choice of appropriate functional form, the use of dummy variables, and 'problems' such as heteroskedasticity and serial correlation. Microeconomic and macroeconomic applications will be used to illustrate the empirical relevance of each topic.

Upon successful completion of the requirements for this course, students will be able to:
•  explain the intuition of the econometric techniques discussed,
•  formulate the econometric techniques in mathematical terms,
•  describe the properties and problems of the econometric techniques,
•  formulate economic problems in mathematical terms,
•  use econometric software to study actual data sets,
•  interpret empirical results and perform tests.

Assignment 1 - 10%, Assignment 2 - 10%, Mid term examination - 20%, Final examination - 60%.

Four contact hours per week plus private study time.

EMET1001 Foundations of Economic and Financial Models and STAT1008 Quantitaive Research Methods, or STAT2001 Introductory Mathematical Statistics, and ECON1101 Microeconomics 1.

For further information please refer to course website