Applied Econometrics
Course: Management of Innovation Activity
Structural unit: Faculty of Economics
            Title
        
        
            Applied Econometrics
        
    
            Code
        
        
            ОК 1.8
        
    
            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
        
        
            3 Semester
        
    
            Number of ECTS credits allocated
        
        
            4
        
    
            Learning outcomes
        
        
            PLO 8. Use specialized software and information systems to solve management problems of the organization.
PLO 14. Build and research conceptual, mathematical and computer models of objects and processes in the field of management. 
        
    
            Form of study
        
        
            Full-time form
        
    
            Prerequisites and co-requisites
        
        
            1. Know: basic concepts of econometric analysis: simple linear regression model, multiple linear regression model, autocorrelation, heteroskedasticity, multicollinearity, nonlinear regression, systems of simulative equations, etc.
2. Have the skills to build models of simple and multiple linear regressions and nonlinear models. 
        
    
            Course content
        
        
            Content module 1. "Analysis and construction of regression models", which considers the model of multiple linear regressions, nonlinear regression model, linear regression models with heteroskedatic and autocorrelated residues, models with lag variables.
Content module 2. "Econometrics of time series. Models with discrete and limited dependent variables. Models with panel data ", which discusses the basic concepts of time series theory, vector model of autoregression, vector model of error correction, models with discrete and limited dependent variables, models with panel data. 
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Greene W.H. Есоnometric Analysis. Eighth edition. Pearson India, 2018.
2. Bailey Michael. Real Econometrics: The Right Tools to Answer Important Questions 2nd Edition, Oxford University Press; 2nd edition, 2019, 656p.
3. Studenmund A. H. Using Econometrics: A Practical Guide, 6th edition. - Addison-Wesley, 2010. - 648p.
4. Wooldridge Jeffrey M. Econometric Analysis of Cross Section and Panel Data, 2nd edition. - MIT Press,
2010. - 1096p.
5. Hayashi F. Econometrics. - Princeton University Press, 2000. - 690p.
6. Colin Cameron A., Trivedi Pravin K. Microeconometrics: Methods and Applications, Cambridge University Press, 2005. - 1056p.
        
    
            Planned learning activities and teaching methods
        
        
            Problem-oriented learning: lectures, laboratory classes, consultations, independent work
        
    
            Assessment methods and criteria
        
        
            Semester assessment:
1. Calculation tasks (LO 1.1-1.4) - 20 points / 12 points;
2. Modular test (LO 1.1-1.4) - 20 points / 12 points;
3. Independent analytical work - calculated individual task (LO 1.1-1.4; 2.1-2.4) - 20 points / 12 points.
Final assessment in the form of an exam. 
        
    
            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
Departments
The following departments are involved in teaching the above discipline
                        Department of Economic Cybernetics
                    
                    
                        Faculty of Economics