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        Lecturer(s)
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                    Vencálek Ondřej, doc. Mgr. Ph.D.
                
 
            
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                    Fačevicová Kamila, Mgr. Ph.D.
                
 
            
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                    Fišerová Eva, doc. RNDr. Ph.D.
                
 
            
         
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        Course content
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        1.  Approach to econometric modeling. 2.  A general model; linear regression model. 3.  Estimate of regression parameters. 4.  Estimate of error variance; statistical verification. 5.  Prediction; the test of stability of the model in time. 6.  Measures of model fit; the test of regression fit. 7.  Multicolinearity; condition index; ridge regression. 8.  Dummy variables. Generalized linear model. 9.  Tests of homoscedasticity and autocorrelation. 10. Seemingly unrelated regression. 11. Simultaneous equations; structural and reduced forms. 12. Problem of identification; parameter estimation. 13. The final form of simultaneous equations. Dynamic models.
         
         
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        Learning activities and teaching methods
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        Lecture, Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming)
        
            
                    
                
                    
                    - Attendace
                        - 39 hours per semester
                    
 
                
                    
                    - Preparation for the Course Credit
                        - 20 hours per semester
                    
 
                
                    
                    - Preparation for the Exam
                        - 60 hours per semester
                    
 
                
             
        
        
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                Learning outcomes
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                Mastering statistical procedures appropriate for special data structures in economy. 
                 
                Knowledge To know statistical procedures used in practice for modelling special data structures in economy. 
                 
                
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                Prerequisites
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                Basic knowledge of probability theory and mathematical statistics.
                
                
                    
                        
                    
                    
                
                
  
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                Assessment methods and criteria
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                        Oral exam, Written exam
                        
                        
                         
                        
                    
                    
                
                 Credit: active participation in seminars, the student has to turn in individual homework Exam: the student has to present knowledge and understanding of the theory and methods  
                 
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        Recommended literature
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                    A.H. Studenmund. (2017). Using Econometrics: A Practical Guide (7th edition).. Pearson International. 
                
 
            
                
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                    D. Gujarati. (2014). Econometrics by Example (2nd edition).. Red Globe Press. 
                
 
            
                
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                    E. Fišerová. (2015). Lineární statistické modely.. Vydavatelství UP, Olomouc. 
                
 
            
                
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                    G. Koop. (2013). Analysis of Economic Data (4th edition).. Wiley. 
                
 
            
                
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                    J. A. Víšek. (1997). Ekonometrie I. Karolinum, Praha. 
                
 
            
                
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                    J.M. Wooldridge. (2015). Introductory Econometrics: A Modern Approach (6th edition).. Cengage Learning, Boston. 
                
 
            
                
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                    R. Hušek. (2009). Aplikovaná ekonometrie. Oeconomica. 
                
 
            
                
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                    R. Hušek. (1992). Základy ekonometrie. Skriptum VŠE, Praha. 
                
 
            
         
         
         
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