Applied Econometrics
Course: International Economics
Structural unit: Faculty of Economics
            Title
        
        
            Applied Econometrics
        
    
            Code
        
        
            ОК 04
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            Second
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            2 Semester
        
    
            Number of ECTS credits allocated
        
        
            4
        
    
            Learning outcomes
        
        
            PLO8. Choose effective methods for managing economic activity, justify the proposed solutions based on relevant data, scientific and applied research
PLO9. Make effective decisions under conditions of uncertainty and challenges that require the use of new approaches, methods, and tools of socio-economic research
PLO10. Apply modern information technologies and specialized software in socio-economic research and in the management of socio-economic systems
PLO18. Articulate new hypotheses and scientific problems in economics, and propose appropriate approaches and methods to test them
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            - to know: the basic principles of the functioning of the economy at the micro- and macro-level; basics of mathematics for economists and probability theory; principles of academic integrity;
- be able to: calculate economic indicators, process statistical data, analyze; primary information;
- have: skills in using MicrosoftOfficeWord, MicrosoftOfficeExcel; Eviews; build simple econometric models.
        
    
            Course content
        
        
            The program of the academic discipline consists of the following content modules:
Content module 1 "Generalization of the multiple regression model" - generalization of the multiple regression model. The module covers construction and analysis, multiple regression, distributed lag models, and time series econometrics.
Content module 2 "Analysis of econometric models" - microeconometrics models and models for panel data. The module examines the estimation and application of discrete and limited dependent variable models and regression models for panel data.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Planned learning activities and teaching methods
        
        
            Lectures, laboratory sessions, project
        
    
            Assessment methods and criteria
        
        
            Checking of independent tasks (Min. - 20 points, Max. - 35 points).
2. Modular control works (Min. - 5 points, Max. - 10 points).
3. Implementation of the project (Min. - 20 points, Max. - 30 points).
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Olena
                    Volodymyrivna
                    Bazhenova
                
                
                    Department of Economic Cybernetics 
Faculty of Economics
            Faculty of Economics
                    Ganna
                    Oleksiivna
                    Kharlamova
                
                
                    Department of Economic Cybernetics 
Faculty of Economics
            Faculty of Economics
Departments
The following departments are involved in teaching the above discipline
                        Department of Economic Cybernetics
                    
                    
                        Faculty of Economics
                    
                
                        Department of Economic Cybernetics
                    
                    
                        Faculty of Economics