Econometric methods and models in international business
Course: International Business, Commerce And Finance
Structural unit: Educational and scientific institute of international relations
Title
Econometric methods and models in international business
Code
OK 35
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
7 Semester
Number of ECTS credits allocated
4
Learning outcomes
Know algorithm of regression modelling; main empirical regression models; applications of cluster analysis, analysis of variance, signal approach, optimization and simulation modelling.
Be able to use software for econometric analysis and modelling; to analyze factors and effects of economic processes with regression analysis;
to apply analysis of variance for studying foreign trade and investments; to apply simulation and optimization modelling for decision making in international business; to apply signal approach for modelling financial risks; to classify markets, consumers and companies with the methods of clatter analysis.
Master the skills of conducting discussions during specifying and adjusting the analysis algorithm and interpretation of results.
Make and rationalize a decision on choosing a modelling methods; decision in international business which is based on results of quantitative analysis.
Form of study
Full-time form
Prerequisites and co-requisites
- Knowledge of theoretical aspects and indicators in the area of economics and business.
- Essential mathematical skills for application in economics and business.
- Basic skills for using modern information technologies.
- Proficiency in English.
Course content
Module 1
Regression models
1. Special software for econometric modelling
2. Linear regression analysis
3. Nonlinear regression analysis
4. Examples of empirical regression models
Module 2
Other methods of modelling
5. Analysis of variance
6. Simulation modelling
7. Optimization modelling
8. Signal approach
9. Cluster analysis
Recommended or required reading and other learning resources/tools
⦁ Chugaiev O. Templates for Calculating in Excel, 2019.
⦁ Excel help & learning / Microsoft (https://support.office.com/en-us/excel)
⦁ Data Analysis (https://www.excel-easy.com/data-analysis.html).
⦁ Greene W.H. Econometric Analysis. 5th Ed. Upper Saddle River, New Jersey. Prentice Hall, 2002.
⦁ Grysenko M.V., Chugaiev O.A. Quantitative Methods for Analysis of International Economic Relations (Concise translated extracts). Kyiv, 2012.
⦁ Gnu Regression, Econometrics and Time-series Library / Gretl (http://gretl.sourceforge.net/).
⦁ Hair J., Anderson R., Tatham R., Black W. Multivariate Data Analysis. – Fifth edition. Prentice Hall Inc., 1998.
⦁ Levine D., Ramsey P., Smidt R. Applied Statistics for Engineers and Scientists: Using Microsoft Excel & Minitab. Prentice Hall Inc., 2001.
⦁ RePEc Database (http://ideas.repec.org/search.html).
⦁ Web Pages that Perform Statistical Calculations (http://statpages.org/).
Planned learning activities and teaching methods
Lectures, seminars
Assessment methods and criteria
Reporting and solving problems at the seminars – up to 40 points.
Tasks for individual work – up to 30 points.
Module control work – up to 30 points.
Language of instruction
English
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline