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 2017 and the eastern German länder from 1990 to 2017 (release March 2019). The database is produced by the Deutsches Institut für Wirtschaftsforschung (DIW), Berlin. Variables include household composition, employment, occupation, earnings, health and satisfaction indicators.
Wave 34 of the German Socio-Economic Panel was released in 2019. Information about the update is on this DIW support page.
- German SOEP Wave 34 was released in March 2019
- Coverage is from 1984 to 2017.
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 Library's Micro Data Registration Form (selecting 'G-SOEP' from the dropdown menu)
- The DIW 'addendum' form will be sent to the applicant as an email attachment, to be signed and dated
- The form should be returned to [email protected] for counter-signature
- The form is then sent to DIW, Berlin
- The applicant must also sign the EUI 'Conditions of Use' agreement (at the Badia Library Economics Office (085) or the Economics Department information desk, Villa La Fonte)
- 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 be consulted on the DIW premises in Berlin.
Contact: Thomas Bourke at [email protected]