Module Information

Learning Outcomes

The module is an advanced level study of econometrics. On completion of this module students should be able to: Critically evaluate
(1) The use of classical linear regression in estimation and inference,
(2) The consequences of the failure of the classical regression assumptions, their diagnosis, consequences and solutions,
(3) The specification, estimation and properties of dynamic time series models, including those with dynamic error structures,
(4) The specification, estimation and properties of simultaneous equation regression models,
(5) The implications of unit roots in time series and the importance of cointegration, (6) the use of single and multiple equation estimation techniques and
(7) The advantages and shortcomings of panel data and the techniques for estimation of panel data models and their application.

Aims