Methods II: Empirical Social and Economic Research in the EU
Brief description
siehe zugeordnete LVs:
M3.307 Grundlagen empirischer Sozial- und Wirtschaftsforschung (SL)
M3.308 Wirtschaftspolitische Analyse in der EU (PÜ)
Mode of delivery
face to face
Type
compulsory
Recommended or required reading and other learning resources/tools
siehe zugeordnete LVs:
M3.307 Grundlagen empirischer Sozial- und Wirtschaftsforschung (SL)
M3.308 Wirtschaftspolitische Analyse in der EU (PÜ)
Planned learning activities and teaching methods
Presentation of results of group discussions, practical exercises in the IT lab, problem-based individual work, workshop with data experts
Assessment methods and criteria
Module-accompanying performance assessment: 2 written exercises (70%) and presentation of the exercises in group discussions (30%)
Prerequisites and co-requisites
None
Infos
Degree programme
Europäische Wirtschaftspolitik
Cycle
International Programme
ECTS Credits
5.00
Language of instruction
German
Curriculum
Full-Time
Academic year
2025
Semester
3 WS
Incoming
No
Learning outcome
After successful completion of the module, students can:
- explain the basics of empirical social and economic research as well as the role of statistics in economic policy advice,
- explain the essential theoretical background as well as the methodological and technical foundations of quantitative EU procedures and reports, and examine and evaluate their appropriateness in the con-text of macroeconomic analyses,
- interpret and assess the quality of social and economic data collected using quantitative and qualitative methods,
- visualize data provided by EU institutions and process them using statistical methods in such a way that they depict economic, political and social problems and developments,
- select from the available statistics and existing research results the most suitable for the respective purpose on the basis of a concrete problem from economic policy advice at EU level, and are able to carry out their own analyses and assess the quality and the limits of their results.
Course code
0899-23-01-VZ-DE-M3.3