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.
DIW Berlin provides a German SOEP Companion Guide at this link.
Detailed information about German SOEP methodology and variables in German and English.
Paneldata - the support site for questions and variable search - helps users locate required variables. "For all variables there are labels and central case numbers, including unweighted frequency distributions, as well as the associated variables in the longitudinal section (item correspondence list)."
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 Library sends a DIW 'addendum' form as an email attachment to the data requestor
- The form is signed, dated and returned to [email protected] for counter-signature
- The Library sends the form to DIW, Berlin
- Following registration, are 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.
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]