Econometrics

Course: Economic Cybernetics

Structural unit: Faculty of Economics

Title
Econometrics
Code
ОК 15
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
5
Learning outcomes
PLO 8. Apply appropriate economic-mathematical methods and models to solve economic problems. PLO 12. Apply the acquired theoretical knowledge to solve practical tasks and meaningfully interpret the obtained results. PLO25. Apply appropriate mathematical methods for the analysis of economic phenomena in terms of fundamental principles and knowledge of economics. PLO26. Understand and skillfully use mathematical and numerical methods often used in economic research. PLO27. Use appropriate software (programming languages, packages) for economic and mathematical research. PLO28. Interpret and manage economic data, find information about the generation, structure and meaning of economic data, analyze data sources.
Form of study
Full-time form
Prerequisites and co-requisites
Successful mastering of courses: "Mathematics for Economists (basic level)", "Probability Theory", "Computer Science", "Economic Theory", "Microeconomics", "Macroeconomics".
Course content
The curriculum consists of two content modules: Content module 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. Content module 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
1. Box G. And Jenkins G. Time Series Analysis: Forecasting and Control. San Francisco, Holden-Day. – 1976. 2. Castle J. L., Hendry D. F. Modelling our Changing World, 2019. – 142 p. 3. Dougherty Ch., Introduction to Econometrics, Oxford University Press, Fifth Edition, 2016. 4. Kumar K. N. R. ECONOMETRICS. CRC Press. 2020. – 926 p. 5. Stock J.H., Watson M. W. Introduction to Econometrics. FOURTH EDITION. GLOBAL EDITION. Pearson Education Limited 2020. – 801 p.
Planned learning activities and teaching methods
Lectures, practical classes, independent work.
Assessment methods and criteria
Semester assessment: 1. Survey and problem solving (Min. - 12 points, Max. - 20 points). 2. Modular tests (Min. - 24 points, Max.-40 points). Final assessment in the form of an exam (Min. - 24 points, Max. - 40 points).
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Oleh Valentynovych Komashko
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