SOEP on Campus – Applied Panel Data Analysis with the Socio-Economic Panel
Course description:
The SOEP on campus two-day workshop provides a practical introduction to applied panel data
analysis using the German Socio-Economic Panel (SOEP), a rich household panel collected
annually since 1984. Participants will gain practical knowledge of SOEP’s contents, data structures, sampling methods, and weighting procedures. The workshop further introduces estimation strategies suitable for panel data with different units of analysis, such as households, individuals, and dyads.
Aim of the Workshop:
This hands-on workshop aims to equip participants with essential skills for working with household panel data, emphasizing practical applications and analytical techniques with SOEP. By the end of the course, attendees will be able to structure longitudinal datasets, understand sample designs, apply weights, and conducting preliminary panel data analyses.
Workshop Contents:
Day 1: Introduction to SOEP Data
• Session 1 (Lecture):
‣ Introduction to SOEP content and structure
‣ Documentation and online support
• Session 2 (Tutorial and Hands-on):
‣ From raw SOEP data to structured longitudinal datasets
‣ Data management strategies
‣ Descriptive analyses
Day 2: Practical Applications and Analysis
• Session 3 (Lecture):
‣ Analytical potentials of household panel data
‣ Introduction to causal interpretation with panel data
• Session 4 (Tutorial and Hands-on):
‣ Hands-on exercises on panel data analysis
‣ Interpreting and presenting results
Lecturer:
Dr. Cristobal Moya (DIW, Berlin); For inquiries, please contact Cristóbal Moya (cmoya@diw.de).
Course language:
English
Date and Location:
The course schedule is October 16 from 1:00 p.m. to 7:00 p.m. and October 17 from 11:30 a.m. to 7:00 p.m. The room is the GEISO computer lab, room 2160, H1, on HSU Campus, Holstenhofweg 85, 22043 Hamburg
Requirements:
• Basic knowledge of R or Stata
• Familiarity with basic data analysis, such as descriptive statistics and regression analysis
Application procedure:
If you want to enroll in the course, please send an email to meisterc@hsu-hh.de