German SOEP - Socio-Economic Panel (DIW)
The German Socio-Economic Panel (SOEP) is a longitudinal survey of approximately 11,000 private households in the Federal Republic of Germany from 1984 to 2016 and the eastern German länder from 1990 to 2016 (release February 2018). The database is produced by the Deutsches Institut für Wirtschaftsforschung (DIW), Berlin. Variables include household composition, employment, occupations, earnings, health and satisfaction indicators.
Wave 33 of the German Socio-Economic Panel was released in 2018 (Core and Long versions). This release includes data from the IAB-SOEP migration sample (since 2013) and the IAB-BAMF-SOEP-Refugees sample (2016). Supporting information is provided in the 'What's New' section of the German SOEP newsletter.
- German SOEP Wave 33 (Core) was released in November 2017
- German SOEPlong Wave 33 was released in Feburary 2018
- Coverage is from 1984 to 2016.
DIW Berlin provides detailed information about German SOEP methodology and variables in German and English.
Updates about the survey, international workshops, related literature and funding opportunities are published in the German SOEP newsletter.
Research papers based on the data are listed on this DIW page.
Current EUI members can access German SOEP data as follows:
- Complete the online Data Registration Form (selecting 'G-SOEP' in the dropdown menu)
- Sign the EUI 'Conditions of Use' agreement and the 'Confidentiality Declaration' at the Badia Library Economics Office (085) or the Economics Department information desk (VLF)
- Following registration, users will be given access to the restricted server and provided with a password.
Please read, and abide by, the terms and conditions of use for licensed data resources.
There are three G-SOEP zipped files and one Excel file on the Library server.
Selected indicators are also available for download via SOEPmonitor.
PanelWhiz is a collection of German SOEP-compatible Stata/SE® add-on scripts, developed by John Haisken-DeNew (Essen).
Scholars may apply for access to restricted geo-coded regional-level data which can only be consulted on the DIW premises in Berlin.
Contact: Thomas Bourke at email@example.com