Inhalt

[ 572GVWLDFOU21 ] IK Data and Research Designs in Economics

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year Economics Alexander Ahammer 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)KS Statistik für Sozial- und Wirtschaftswissenschaften
Original study plan Bachelor's programme Economics and Business 2025W
Learning Outcomes
Competences
Students learn how to develop research designs and analyze them using statistical software and real-world data
Skills Knowledge
  • Be able to independently use statistical software
  • Be able to clean and prepare data for further analysis
  • Descriptive statistics, data visualization, and estimating regression models can be independently conducted and interpreted
  • Event studies and differences-in-differences
  • Instrumental variables
  • Regression discontinuity designs
Criteria for evaluation Problem sets and end-of-term project
Methods Lectures and presentations
Language German or English
Study material Scott Cunningham (2021), Causal Inference: The Mixtape, Yale University Press.
Changing subject? No
Corresponding lecture (*)572GVWLEMEU20: IK Empirical Economics (3 ECTS)
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority