31506        
        
          Vertiefungsseminar        
      
      WiSe 15/16: Econometrics: customer experience models. Business cases of Russia
Aleksandra Malova
Zusätzl. Angaben / Voraussetzungen
        This introductory course has actually no specific course prerequisites except basic ones: 
Statistics and econometrics
•	Basic probability and statistics: e.g. average, median, distribution, variance
•	Basic economterics: linear regression, simultaneous equations
Business
•	Basic ability to work with business data, Understanding of business-processes
 Literacy
•	Ability to read and effectively use textbooks        Schließen
    
  Kommentar
        This course is designed to introduce students to the specific econometric methodology partial least squares structural equation modeling (PLS-SEM). They will learn how to analyse microeconomic data, model customer behavior, systematize and match quantitative and qualitative data. Students will also learn about the methods market analysts use to find the answers to these questions and become acquainted with many of the important tricks and practical approaches in the field of data analysis. All the cases and examples that will be considered are based on russian business data.        Schließen
    
  Literaturhinweise
        Josef F. Hire Jr., G. Tomas M. Hult, Christian Ringle, Marko Sarstedt: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), SAGE Publications Inc, 2014
V. Esposito Vinzi, W.W.Chin, J.Henseler, H.WangHandbook of Partial Least Squares: Concepts, methods and applications, Springer 2010
Damodar Gujarati, Dawn C.Porter Basic Econometrics, 5th edition, 2008        Schließen
    
  6 Termine
Regelmäßige Termine der Lehrveranstaltung
                  
                    
                      Fr, 08.01.2016 10:00 - 15:30                    
                        
    
    
                  
                  
                    
                      Fr, 15.01.2016 10:00 - 15:30                    
                        
    
    
                  
                  
                    
                      Fr, 22.01.2016 10:00 - 15:30                    
                        
    
    
                  
                  
                    
                      Fr, 29.01.2016 10:00 - 15:30                    
                        
    
    
                  
                  
                    
                      Fr, 05.02.2016 10:00 - 17:30                    
                        
    
    
                  
                  
                    
                      Fr, 12.02.2016 10:00 - 11:30                    
                        
    
    
                  
                
              