Econometrics 1

Aims of the course

The students will obtain the basic knowledge and skills for modern econometric analysis. They will be able to apply this knowledge to the investigation of economic processes, and also understand the econometric methods, approaches, ideas, results and conclusions met in the majority of economic and business books and articles. The course will focus on traditional econometric methods. The students will understand essential differences between time series and cross section data and the specific econometric problems met when working with these types of data. The students should get the skills for construction and development of multiple regression models. The considered methods and models will be mastered practically on real economic data bases with modern econometric software.

Objectives and competences of the course are thus the following:
– To improve and expand the knowledge of quantitative skills with basic econometric methods.
– To become acquainted with the theoretical fundations of econometric methods.
– To obtain the skills necessary for the application of theoretical concepts.
– To develop the capabilities to choose appropriate methodology for the analysis of relationships in economics and finance.
– To develop capabilities for interpretation of the results.

Course syllabus

1. Introduction to econometrics
2. Classical linear multiple regression model
3. Hypothesis testing
4. Prediction with multiple regression model
5. Model specification and diagnostic testing
6. Model diagnostics
7. Regression models with dummy explanatory variables

Course director(s)

  • Office Hours
  • Monday at 14:30 in RZ-402
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