Econometrics

Course: Economic analysis and statistics

Structural unit: Faculty of Economics

Title
Econometrics
Code
1.25
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
5 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO 3. Use analytical and methodological tools to understand the logic of economic decision-making by various economic agents (individuals, households, enterprises and public authorities). PLO 6. Apply appropriate economic-mathematical and statistical methods and models to solve economic problems. PLO 9. To analyze the functioning and development of economic entities, to determine the functional areas, to calculate the relevant performance indicators of their activities PLO 11. Apply the acquired theoretical knowledge to solve practical problems and interpret the results PLO 17. Understand and independently form the content, structure and conclusions of scientific and analytical texts on economics
Form of study
Distance form
Prerequisites and co-requisites
1. Know: based on the elements of probability theory, statistical distributions and their characteristics, numerical characteristics of samples, rules for testing statistical hypotheses. 2. Have the skills to work with software packages for processing tables, performing basic calculations on a computer.
Course content
The curriculum consists of the following content modules: 1. Construction of econometric models. The module deals with the construction and evaluation of simple linear regression, multiple regression, their characteristics, the ability to calculate forecasts. 2. Analysis of econometric models. The module deals with the evaluation of models with heteroskedastic, autocorrelated residues, with regressor-dependent residues, as well as the introduction to time series.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline is to acquaint students with research methods, ie methods of testing, substantiation, evaluation of quantitative patterns and qualitative statements (hypotheses) in micro- and macroeconomics based on the analysis of statistical data. The knowledge acquired by students while studying econometrics is widely used in management, marketing, finance and more.
Assessment methods and criteria
Forms of student assessment: (max. 100 points / min. 60 points) 1. Homework check - 10 points / 6 points 2. Independent work in the classroom - 15 points / 9 points 3. Tests - 30 points / 18 points 4. Implementation of the project - 20 points / 12 points 5. Final test - 25 points / 15 points.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Andrii Volodymyrovych Stavytskyy
Department of Economic Cybernetics
Faculty of Economics

Departments

The following departments are involved in teaching the above discipline

Department of Economic Cybernetics
Faculty of Economics