Pensions for Reduced Earnings Capacity and Diagnoses 2001 - 2020 (Erwerbsminderung und Diagnosen)
On request for replication studiesNotes on citation
Forschungsdatenzentrum der Rentenversicherung (FDZ-RV) (2022): Pensions for Reduced Earnings Capacity and Diagnoses 2001 - 2020 (Erwerbsminderung und Diagnosen) (Version 1.0) [Dataset]
Short description
Scientific Use File Pensions for Reduced Earnings Capacity and Diagnoses (Erwerbsminderung und Diagnosen) (SUF.RTZN.EM):
The time series SUF.RTZN.EM is based on the pension entry statistics (§ 6 RSVwV, SK90). The population of the SUF RTZN.EM is made up of reduced earnings capacity pensions granted for the first time with the start of the pension in the respective reporting year. The size of the random sample is 25 per cent per reporting year.
In addition to demographic information, the data set covers important pension-related facts such as the pension amount, components of the pension payment amount, earning points and periods recognised under insurance law, as well as on the diagnoses associated with the granting of the reduced earnings capacity pension.
The time series SUF.RTZN.EM is based on the pension entry statistics (§ 6 RSVwV, SK90). The population of the SUF RTZN.EM is made up of reduced earnings capacity pensions granted for the first time with the start of the pension in the respective reporting year. The size of the random sample is 25 per cent per reporting year.
In addition to demographic information, the data set covers important pension-related facts such as the pension amount, components of the pension payment amount, earning points and periods recognised under insurance law, as well as on the diagnoses associated with the granting of the reduced earnings capacity pension.
Supplementary downloads
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Codeplan SUF.RTZN.2001-2020.EM.1-0 - Englische Version
PDF 366.32 KB
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Pensions for Reduced Earnings Capacity and Diagnoses 2001 - 2021 (Erwerbsminderung und Diagnosen)
On request for replication studies (On request, for replication studies only)
Katharina Werhan
Referent
Tatjana Mika
Head of Division
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