This is an introductory course to econometrics with emphasis on its applications. During the lectures and practical exercises the main focus will be on helping students to learn modern methods of empirical analysis and their practical application using an appropriate software (mainly GRETL) to the real world data sets. The main topics cover regression analysis including an introduction to panel data regression (fixed effects model), binary response models (linear probability, logit, and probit models), introduction to time series, and simultaneous equations. Students are taught how to build a suitable econometric model, understand the strengths and limitations of empirical methods, correctly interpret results and draw valid conclusions.
Aim of the course
The aim of the course is to introduce main empirical methods of economic data analysis and to provide their theoretical foundations.