Introductory econometrics

The module builds on the material covered in data analysis at part 1, and provides you with a theoretical foundation for the topics to be found in applied econometrics at part 3.

It is an introduction to econometrics, building on the classical linear regression model to study the estimation and inference problems arising in empirical economics.

The theory is presented at an intermediate technical level, the practical motivation being that you should be able to use and understand modern computer software.

Matrix algebra and a little calculus are used to derive a number of important results, and the eviews program to analyse data.

• illustrations of econometric problems
• revision of / introduction to probability
• revision of / introduction to statistical inference
• two‐variable regression and analysis of variance
• properties of estimators
• classical linear regression model i
• some matrix algebra and classical linear regression model ii