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

Topic of the microdata set

Retirement

Insurance

Rehabilitation

Retirement
inflow

Retirement
stock

Retirement
cash-stock

Cross-sectional data

Pension
awarded

within a certain
period/ cessation
of pension
payment

(reference period

31.12.)__________

Pension payments

(reference period
31.12.)

Pensioners with
one or more
pension
payments

(reference period
30.06.)

Insured persons

(reference period

31.12. and within
reference year)

Medical and
occupational
rehabiltation

(reference period
31.12. and within
reference year)

Longitudinal data

Completed
Insurance
Biographies
(reference period
31.12.)

Sample of insured
persons and their
insurance
accounts
(reference period
31.12.)____________

Longitudinal
dataset for
rehabilitation

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

Source: Following Himmelreicher / Radl (2006).

10



More intriguing information

1. On the origin of the cumulative semantic inhibition effect
2. THE WAEA -- WHICH NICHE IN THE PROFESSION?
3. The name is absent
4. The name is absent
5. A Theoretical Growth Model for Ireland
6. The name is absent
7. The name is absent
8. AN EMPIRICAL INVESTIGATION OF THE PRODUCTION EFFECTS OF ADOPTING GM SEED TECHNOLOGY: THE CASE OF FARMERS IN ARGENTINA
9. Evaluating the Success of the School Commodity Food Program
10. The name is absent
11. The name is absent
12. Enterpreneurship and problems of specialists training in Ukraine
13. PROPOSED IMMIGRATION POLICY REFORM & FARM LABOR MARKET OUTCOMES
14. The name is absent
15. FASTER TRAINING IN NONLINEAR ICA USING MISEP
16. Happiness in Eastern Europe
17. On the estimation of hospital cost: the approach
18. Determinants of U.S. Textile and Apparel Import Trade
19. The name is absent
20. CONSUMER ACCEPTANCE OF GENETICALLY MODIFIED FOODS