The Research Data and Service Centre (RDSC) provides two forms of access to selected microdata collected by the Bundesbank.
Workstations for visiting researchers
The Bundesbank provides visiting researchers with workstations where they can access anonymised microdata on banks, securities, investment funds, enterprises and households. Here, researchers have the opportunity to view and analyse these data during research projects. The information sheet below provides more detailed information on this method of access.
Scientific use files (SUFs)
If data users wish to analyse microdata outside Bundesbank premises (off-site), they can request specially prepared, standardised scientific use files (SUFs).
At present, the follwing scientific use files are available:
- Panel on Household Finances (PHF)
- OECD/INFE Survey of Adult Financial Literacy Competencies in Germany
More detailed information on access to and the anonymisation of PHF microdata can be found via the links listed below.
Controlled remote execution (CRE)
The RDSC offers controlled remote execution (CRE) for some of the provided micro datasets. Via CRE a researcher can analyse the data without being physically present at the premises of the RDSC. The CRE procedure is as follows:
The RDSC provides data structure files to the researchers, which structurally resemble the original data but contain no real values. These files can be accessed via the links listed below under the heading “Data structure files”. Together with a prototype program code provided by the RDSC, these can be used to write the researcher’s own program code, which performs the desired analyses.
This code is then sent to the RDSC via email and used by the staff to generate analyses results. These results are subject to statistical disclosure control. After they are checked, they are sent to the researcher by email. At no point the researcher has access to the original micro dataset.
CRE is open for researchers who have demonstrated with a current or previous research project that they have sufficient experience concerning the use of the respective micro dataset.
The following micro datasets are available for CRE:
- AUSTA – “External position of banks”
- BISTA – “Monthly balance sheet statistics”
- GuV – “Banks’ profit and loss accounts”
- MaMFI – “Selected master data for MFIs”
- MiDi – “Microdatabase Direct investment”
- SHS-Base plus – “Securities Holdings Statistics-Base plus”
- VJKRE – “Quarterly borrowers statistics”
Interested researchers are invited to submit an informal application to the RDSC in the form of a short cover letter, a curriculum vitae with a list of research activities as well as our application form which can be found in the download box. The informal application can be sent via E-Mail to:
Please note that all researchers who would like to work with Bundesbank data need to apply by completing the application form and sending a CV. All other co-authors and their institutions need to be mentioned in section 2.7 of the application form, but do not need to apply separately.
As the research data request form contains personal information, we advise you to send it to us as an encrypted e-mail attachment. We recommend you to encrypt any other documents containing personal information that you send to the Bundesbank via e-mail.
We recommend that you use 7zip encryption software, which can be downloaded free of charge. Instructions on how to encrypt documents using 7zip software are listed below.
Please inform us of the password required to decrypt the files by telephone using the number listed under “Contact”.
Researchers working with Bundesbank microdata must ensure that their calculation results contain no data that can be traced back to individual observation units or statistical units such as banks, (non-financial) corporations, individuals or households. The “Disclosure control regulations for research results with regard to data confidentiality (output control)” below provide you with more information. We recommend users of STATA® to apply the ado-files “nobsdes” and “nobsreg” for output control. In the case of descriptive statistics “nobsdes” reviews whether there are too few observations or if two banks, enterprises, etc. dominate the results. “nobsreg” checks after regressions, whether there are too few observations. Both ado-files, the corresponding .sthlp-files and example files for use for problems typically encountered can be found under “Further Information”.