Improvement of Access to Data Sets from the Official Statistics

Figure 1 gives an overview of cross-sectional and longitudinal microdata from the German
pension insurance in the fields of retirement, insured persons and rehabilitation, with the
corresponding names of the microdata. This data, highlighted in grey, is generated from the
FDZ-RV as anonymous SUFs, which scientists working in research units may access free of
charge, the only requirement being a signed contract with FDZ-RV.

The statistics of the German Federal Pension Insurance can be divided into datasets that
focus on biographical information in combination with retirement and insurance and in a
special dataset for rehabilitation. The datasets listed with a reference period of one day mean
that this day represents the monitoring date in a specific year. Some statistics have both daily
and annual reference periods.

The data range offered by the FDZ-RV now also includes the SUFs of the two
longitudinal datasets “Completed Insurance Biographies - Vollendete Versichertenleben
2005” and the “Sample of insured persons and their insurance accounts 2005 -
Versicherungskontenstichprobe 2005” (Himmelreicher / Stegmann 2008). Please note that it
is particularly complicated to prepare the longitudinal data as SUFs, as a great deal of
modifications have to be undergone to render the longitudinal information anonymous
(Stegmann / Himmelreicher 2008).

Figure 1: Microdata sets of the German Federal Pension Insurance

Dataset available as SUF via FDZ-RV (September 2008)

Source: Following Himmelreicher / Radl (2006).

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