DOI: 10.5164/IAB.SIEED7518.de.en.v1
Summary
The Sample of Integrated Employer-Employee Data (SIEED) is a 1.5 % sample of all establishments in the whole of Germany, which are recorded in the Employee History (BeH) at the middle of the year (reference date: June 30th). For these establishments, the entire employment biographies of all the people employed in these establishments is made available over the entire period, whereby only employer notifications are taken into account. It is possible to track employment biographies for these people to the day, even when changing jobs. In addition, the data include the administrative establishment information from the Establishment-History-Panel (BHP) for all the Establishments.
Dataset Descriptions and Frequencies
German
English
Data Access
The Sample of Integrated Employer-Employee Data is available via the following way of access:
On-site Use included Remote Data Access. Further information on Applying for on-site use. With your application to SIEED we provide automatically the administrative individual data and the basic module of the BHP. Further modules of BHP have to be requested explicitly in your application.
Test Data
Test data help to prepare programs ahead of on-site and remote data access. They are freely accessible over the web and therefore have to be anonymized. They shall reflect the structure of the original data as close as possible to be useful for many kinds of different analyses. As there are no universally useful test data we suggest that you adjust the test data for your purposes, e.g. if Spanish employees are in the focus of your investigation, just recode enough nationalities to Spanish.
Test data are random and therefore not eligible for analysis!
Test data (Stata) for SIEED 7518 (zip)
Other Working Tools
- We provide person and establishment fixed effects (AKM effects) for this data set for the years 1985 to 2017. To access the effects in an existing project please write an email to iab.fdz@iab.de. You find further Information at key working tools of the FDZ.
- An English outline can be found in Schmollers Jahrbuch, 134 (2014), S. 141–148.
Further working tools as the overview on classifications of economic activities, a list of upper earnings limits and marginal part-time income thresholds, the standards for the citation of data and data documentation and papers on working with the FDZ data can be found at key working tools of the FDZ.
Citation
Researchers working with the SIEED are obligated to acknowledge the database and its documentation within their publications, including the DOI, by using the following reference:
Data:
Berge, Philipp vom; Schmidtlein, Lisa; Seth, Stefan; Graf, Tobias; Grießemer, Stephan; Kaimer, Steffen; Köhler, Markus; Lehnert, Claudia; Oertel, Martina; Seysen, Christian (2020): "The Sample of Integrated Employer-Employee Data (SIEED): SIEED 7518, Version 1". Research Data Centre of the Federal Employment Agency (BA) at the Institute for Employment Research (IAB). DOI: 10.5164/IAB.SIEED7518.de.en.v1
The data access was provided via on-site use at the Research Data Centre (FDZ) of the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB) and subsequently remote data access.
Data documentation:
- Schmidtlein, Lisa; Seth, Stefan; vom Berge, Philipp (2020): Stichprobe Integrierter Employer-Employee Daten (SIEED) 1975 – 2018. FDZ-Datenreport, 14/2020 (de), Nürnberg. DOI: 10.5164/IAB.FDZD.2014.de.v1
- Schmidtlein, Lisa; Seth, Stefan; vom Berge, Philipp (2020): Sample of Integrated Employer-Employee Data (SIEED) 1975 – 2018. FDZ-Datenreport, 14/2020 (en), Nuremberg. DOI: 10.5164/IAB.FDZD.2014.en.v1
According to the FDZ Data Usage Agreement, any type of publication resulting from work with FDZ data must be reported to the FDZ by e-mail to iab.fdz@iab.de at the latest one month after publication. The notification must include an electronic version of the printed version or, after publication, a reprint or a copy of the publication free of charge.
Data Versions
>> Further information on other versions of the SIEED datasets.