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
2023/2024
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
5
Learning outcomes
PRN08. Justify the choice of the optimal system of taxation of the business entity on the basis of current tax legislation. PRN10. Collect, evaluate and analyze financial and non-financial data to generate relevant information for management decisions. PRN23. Model the application of research methods for the analysis of patterns and trends in the main directions of development of accounting, analysis and audit, taxation
Form of study
Full-time form
Prerequisites and co-requisites
1. Know: the basic concepts of econometric analysis: a model of simple linear regression, multiple linear regression model, autocorrelation, heteroskedasticity, multicollinearity, nonlinear regressions, systems of simulative equations, etc. 2. Have the skills to build models of simple and multiple linear regressions and nonlinear models.
Course content
The curriculum consists of two content modules: Content module 1. "Analysis and construction of regression models", which considers the model multiple linear regressions, linear regression models with heteroskedatic and autocorrelated residues. Content module 2. "Models of vector autoregression and error correction. Models with panel data ", which discusses the basic concepts of time series theory, vector model autoregression, vector error correction model, models with panel data.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
Lectures, practical classes, independent work
Assessment methods and criteria
Lectures, practical classes, independent work 1. Calculation tasks (RN 1.1-1.3) - 25 points / 15 points; 2. Independent analytical work - calculated individual task (RN 1.1-1.3; 2.1-2.4) - 50 points / 30 points; 3. Final test (RN 1.1-1.3; 2.1-2.4) - 25 points / 15 points.
Language of instruction
Ukrainiane

Lecturers

This discipline is taught by the following teachers

Olena Volodymyrivna Bazhenova
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