Unlike Econometrics One that dealt only with linear as well as single equation regression models, this module first introduces nonlinear regression models and models involving more than one equation that are known as simultaneous equation regression models. Other components of the module include qualitative response regression models and introduction to time series econometrics. The computer is a fundamental tool in this module and students will be required to be familiar with the Econometric package (EViews, STATA, etc.)
It is true that almost every phenomenon is affected or associated with more than one underlying or immediate (proximate) factors. Thus, in practical application of statistical methods, ones has to consider more that one variables simultaneously. This module is designed to give you knowledge on the topics focusing on statistical analysis of many variables simultaneously. The methods and techniques focus on conducting statistical analysis of data involving more than two variables in order to draw appropriate and valid conclusions.