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Annotation
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 MS EXCEL, Statistica) 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.
Quality issues
The lecturer assures a variety of teaching methods (including e-learning) and knowledge assessment. More difficult concepts are better explained using interactive graphs and modeling exercises. Analytical feedback during study process is encouraged. A regular discussion of student reports and problem solutions is the necessary condition to assure effective feedback.
Cheating prevention
Variety of individual assignments, data sets and possible solutions requires individual efforts and makes it easier to detect cheating. This should deter cheating from happening in the first place. All occurrences of cheating will be dealt with according to the ISM regulation on academic ethics (see ISM Bakalauro studijų reglamentas).
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