Applied econometrics

Course: Accounting, Taxation and Control

Structural unit: Faculty of Economics

Title
Applied econometrics
Code
ОК 1.4
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2024/2025
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
3
Learning outcomes
PRN 4. Develop socio-economic projects and a system of comprehensive actions for their implementation, taking into account their goals, expected socio-economic consequences, risks, legislative, resource and other restrictions. PRN 9. Make effective decisions under uncertain conditions and requirements that require the use of new approaches, methods and tools of socio-economic and political-economic research. PRN 10. Apply modern information technologies and specialized software in socio-economic and political-economic research and in the management of socio-economic systems. PRN 11. Identify and critically assess the state and trends of socio-economic development, form and analyze models of economic systems and processes PRN 17. Use modern educational and research technologies in the field of economics
Form of study
Prerequisites and co-requisites
1. Successful completion of the course "Econometrics". 2. Knowledge of the theoretical foundations of the courses "Higher Mathematics for Economists (Basic Level)" and "Probability Theory for Economists".
Course content
he curriculum of the academic discipline consists of two content modules: Content module 1. "Analysis and construction of regression models", which considers the model of multiple linear regression, the model of nonlinear regression, linear regression models with heteroscedastic and autocorrelated residuals, models with lag variables. Content module 2. "Econometrics of time series and microeconometrics". Models with discrete and limited dependent variables. Models with panel data", which considers the basic concepts of time series theory, vector autoregression model, vector error correction model, models with discrete and limited dependent variables, models with panel data.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
Lectures. laboratory work, independent work, tests. Assessment in the form of a final test
Assessment methods and criteria
1. Survey (PH 1.1-1.4; 2.1-2.2; 3; 4) – 15 points / 9 points; 2. Calculation tasks (PH 1.1-1.4; 2.1-2.4; 4) – 30 points / 18 points; 3. Independent analytical work (PH 1.1-1.4; 2.1-2.4; 3; 4) – 35 points / 21 points; 4. Test work (PH 1.1-1.4; 2.1-2.4; 4) – 20 points / 12 points;
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline