INTRODUCTION TO ECONOMETRICS II ECO 306 NOUN 3 Main Introduction ECO 306 is a logical extension of the first-semester course on regression analysis. As such, it introduces the concept of thesimultaneous equation and their estimation. Essentially, this course examines the possible solutions to problems arising from the breakdown of the ordinary least squares assumptions and sampling theories. To this end, it covers topics likemulticollinearity, heteroscedasticity, autocorrelation and Econometrics Modeling Specification and Diagnostic Testing. It also examines the use of regression analyses, correlation, variance and dummy variables. For this reason, experiential case studies that apply the techniques to real-life data are stressed and discussed throughout the course, and students are required to get acquaintedwith their several models and theories that deal with the measurement of economic relationships. The course would be a very useful material to you in your academic pursuit and could helpto broaden your understanding further in this case. Once this understanding and application areestablished, you are then able to have a broadened knowledge of econometrics while distinguishing it from mathematical economics. This course is therefore developed in a manner to guide you further on what econometrics entails, what course materials inline with a course learning structure you will be using. The learning structure suggests some general guidelines fora time frame required of you on each unit to achieve the course aims and objectives effectively. Further work in this course would expose you to introductory levels of topics like vector autoregressions, unit roots, cointegration, time-series analysis and errors invariables.
