SOEP-RV: Linking German Socio-Economic Panel Data to Pension Records

Author:

Lüthen Holger1,Schröder Carsten2,Grabka Markus M.3,Goebel Jan3,Mika Tatjana4,Brüggmann Daniel4,Ellert Sebastian4,Penz Hannah3

Affiliation:

1. Federal Ministry for Economic Affairs and Energy , Berlin , Germany

2. SOEP at DIW Berlin and Freie Universitaet Berlin , Berlin , Germany

3. SOEP at DIW Berlin , Berlin , Germany

4. Deutsche Rentenversicherung Bund , Research Data Centre of German Pension Insurance , Berlin , Germany

Abstract

Abstract The aim of the project SOEP-RV is to link data from participants in the German Socio-Economic Panel (SOEP) survey to their individual Deutsche Rentenversicherung (German Pension Insurance) records. For all SOEP respondents who give explicit consent to record linkage, SOEP-RV creates a linked dataset that combines the comprehensive multi-topic SOEP data with detailed cross-sectional and longitudinal data on social security pension records covering the individual’s entire insurance history. This article provides an overview of the record linkage project, highlights potentials for analysis of the linked data, compares key SOEP and pension insurance variables, and suggests a re-weighting procedure that corrects for selectivity. It concludes with details on the process of obtaining the data for scientific use.

Publisher

Walter de Gruyter GmbH

Subject

Economics and Econometrics,Social Sciences (miscellaneous),General Business, Management and Accounting

Reference26 articles.

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3. Bönke, T., Giacomo, C., and Lüthen, H. (2015). Lifetime earnings inequality in Germany. J. Labor Econ. 33: 171–208, https://doi.org/10.1086/677559.

4. Bound, J., Brown, C., and Mathiowetz, N. (2001). Chapter 59: measurement error in survey data. In: Heckman, J., and Leamer, E. (Eds.), Handbook of econometrics 5. Chicago/London, pp. 3705–3843, https://doi.org/10.1016/s1573-4412(01)05012-7.

5. Carter, K., Shaw, C., Hayward, M., and Blakely, T. (2010). Understanding the determinants of consent for linkage of administrative health data with a longitudinal survey. N.Z. J. Social Sci. Online 5, https://doi.org/10.1080/1177083x.2010.516440.

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