Econometrics II (Quantitative Research Methods)
level of course unit
Learning outcomes of course unit
master important fundamental methods of quantitative data analysis
be able to carry out this analysis with the help of a computer
be able to apply their knowledge to real-world problems.
prerequisites and co-requisites
The goal of this course is for students to master the fundamental quantitative and qualitative methods of data analysis, which are dependent on the quality of available data in the context of a business and, in particular, their applications in marketing and market research questions. These include regression analysis, analysis of variance, discrimination analysis, contingency analysis, factor analysis, cluster analysis, multidimensional scaling as well as conjoint analysis. The application of these methods will be based on real data and carried out on a computer with standard statistical software packages (e.g. SPSS, Stata, EViews, Gauss).
recommended or required reading
Kennedy, P.: A Guide to Econometrics. 5. Aufl. Blackwell, 2006.
Wooldridge, J.M.: Introductory Econometrics. A Modern Approach. 2. Aufl., Mason, 2003.
assessment methods and criteria
Written exam and/or scientific paper and/or presentation
language of instruction
number of ECTS credits allocated
planned learning activities and teaching methods
Lecture, group work, presentation and task discussion
semester/trimester when the course unit is delivered
name of lecturer(s)
Dr. Gruber Stefan
year of study
recommended optional program components
course unit code
type of course unit
mode of delivery