Faculty of Business and Management Sciences · Economics · Undergraduate
Course Objective
The aim of this course is to equip students with basic econometric methods. Econometrics is a social science that analyzes economic data under the light of economic theory. Since the nature of economic data does not permit straightforward adaptation of statistical methods special estimation and inference methods have been developed. Introduction to Econometrics teaches these methods in the cross-sectional data framework. Applications will be carried out in EViews and GRETL.
Course Content
Simple regression model, OLS estimation, classical regression model, statistical inference, t, F and LM tests, finite sample and asymptotic properties, dummy variables, specification error and heteroskedasticity
Course Learning Outcomes
- Develop knowledge of applied econometrics
- Understand the assumptions upon which different econometric methods are based and their implications
- Use statistical software to implement the various techniques taught in the course
- Interpret and critically evaluate applied work and econometric findings