Teaching & Studying: An Overview
Bachelor program
Description: (WIWI-01005) The module provides an introduction to descriptive and inferential statistics. It covers methods for analyzing univariate and bivariate data, as well as techniques for estimation and hypothesis testing.
The module is mandatory and should be taken in the second semester. It includes a weekly 4-hour lecture, a weekly 2-hour exercise and a weekly 2-hour tutorials.
Description: (WIWI-01014) The module Introduction to Econometrics provides methods of empirical economic research that allow students to test the validity of economic theories using real-world data. The focus is on an application-oriented introduction to linear regression analysis.
In the exercises, the software EViews is used to develop practical skills in own empirical work. The module is mandatory and should be taken in the 4th semester. It includes a weekly 2-hour lecture and a weekly 2-hour exercises. The exercises serve to understand and apply the contents of the lecture.
Description: (WIWI 21100) Many economic variables need to be analyzed over time. The module introduces methods that are particularly suitable for this analysis. The focus is on methods for analyzing financial time series. The module includes a 2-hour lecture and a 1-hour exercise, the empirical analyses in the exercise are conducted using R. The module is an elective component and can be taken in the 5th semester.
Description: (WIWI-21120) For many applications, the joint statistical analysis of several variables is of interest. The module introduces various approaches for such analyses and explains selected methods. The methods presented are widely used in market research, for example. The module includes a 2-hour lecture and a 1-hour exercise, the empirical analyses in the exercise are conducted using R. The module is an elective component and can be taken in the 5th semester.
Description: (WIWI-02100-24) In the project seminar, students conduct an empirical research project. This includes data collection and/or data preparation, literature research, and the empirical testing of a falsifiable economic hypothesis.
The topics are taken from different fields of economics. If the work is done as an applied study project, the scope of the topic is somewhat broader, and 14 ECTS credits are awarded instead of 10.
The project seminar and study project also serve as excellent preparation for an empirical bachelor’s thesis within the department. The module is an elective component and can be taken in the 5th semester.
Master program
Description: (WIWI-01050) The course Microeconometrics deals with methods for the analysis of microdata, i.e. data collected at the individual, household or firm level. Their analysis requires special methods that are not the subject of an introduction to econometrics. The module is a compulsory module for all master students. The microeconometrics part includes a weekly 2-hour lecture and a weekly 1-hour exercise. The exercises serve to comprehend and practically apply the contents of the lecture. The empirical analyses are done with Stata. The exercises are offered in parallel groups, where some groups are taught in English and some are taught in German.
Multiple equation models and advanced panel data models
Description: (WIWI-21500) Explaining economic behavior and economic processes often requires that dependencies between different dependent variables are taken into account. Thus, the module deals with models for simultaneous relationships between dependent variables and for multivariate time series, where a common development of multiple time series is considered. Furthermore, advanced panel data models for micro data are considered that allow for dynamic relationships or for discrete endogenous variables.
The module is elective and includes a 4-hour lecture and a 2-hour exercise, the empirical analyses in the exercise are done with EViews and Stata.
Description: (WIWI-02200-24) In the project seminar, students are required to prepare an advanced empirical paper. This includes independent data collection and/or preparation, literature research, and the empirical testing of a falsifiable economic hypothesis. The topics are taken from different fields of economics. The project also serves as preparation for an empirical master’s thesis.
The project seminar is part of the compulsory elective area.