Econometrics

Course: Management of Organizations

Structural unit: Faculty of Economics

Title
Econometrics
Code
ОК 1.29
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
7 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO 6. Demonstrate skills of search, collection and analysis of information, calculation of indicators to justify management decisions. PLO 16. Demonstrate skills of independent work, flexible thinking, openness to new knowledge, be critical and self-critical.
Form of study
Full-time form
Prerequisites and co-requisites
1. Know: basics of higher mathematics, probability theory. 2. To be able to: use MS Excel.
Course content
The program of the study discipline 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 heteroscedastic, autocorrelated residuals, with residuals dependent with regressors, as well as the introduction of 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
Information and traditional with elements of problem-oriented learning: lectures, laboratory classes, independent work, consultations, case studies, individual calculation assignments, preparation of a group analytical project.
Assessment methods and criteria
Semester Assessment: 1. Checking homework (LO 1.1.-1.2.; 2.1-2.5) (Min. - 12 points, Max. - 20 points). 2. Module tests (LO 1.1; 2.1-2.3) (Min.-12 points, Max.-10 points). 3. Project Execution (LO 1.1.-1.2., 2.2.-2.5., 3.1., 4.1.) (Min. - 22 points, Max. - 30 points). Final assessment in the form of examination (LO 1.1; 2.1-2.5) - (Min. - 14 points, Max. - 40 points).
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Ganna Oleksiivna Kharlamova
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