Equivalent to requirements to the Master's degree programme.
2 hours of lectures per week. 2 hours excercises per week
The objective is to introduce students to different econometric models which can be applied in Supply Chain Management and Logistics by giving students basic understanding of econometrics theories and applying econometric techniques of regression analysis. This course presents an elementary but comprehensive introduction to econometrics without resorting to matrix algebra, calculus, or statistics beyond the elementary level. This knowledge will support the students in reading literature and articles based on econometric methods and to do empirical work related to their master theses.
Multiple Regression Analysis
Dummy Variable Regression Models
Multicollinearity
Panel Data Regression Models
Simultaneous-Equation Models
Time Series Econometrics: Some Basic Concepts and Forecasting
