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Econometrics III

level of course unit

Advanced

Learning outcomes of course unit

Students will
master important advanced methods of econometrics
be able to carry out this analysis with the support of a computer
be able to apply their knowledge in real-world examples.

prerequisites and co-requisites

EC2

course contents

The aim of this course is to look at modern advanced econometric methods, which are dependent on the quality of available data and can be applied in the context of a business, in particular in the field of marketing and market research. In addition, the course will include regression analysis and also time series analysis, panel data analysis, instrumental variable estimation, factor analysis, logit estimation as well as probit estimation. The application of this method should be carried out based on real-world data 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

English

number of ECTS credits allocated

3

planned learning activities and teaching methods

Lecture, group work, presentation and task discussion

semester/trimester when the course unit is delivered

3

name of lecturer(s)

Dr. Wakolbinger Florian

year of study

2nd year

recommended optional program components

not specified

course unit code

V.EC3.1

type of course unit

compulsory

mode of delivery

In-class course

work placement(s)

not applicable