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

Author

Listed:
  • Holger Lüthen
  • Carsten Schröder
  • Markus M. Grabka
  • Jan Goebel
  • Tatjana Mika
  • Daniel Brüggmann
  • Sebastian Ellert
  • Hannah Penz

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.

Suggested Citation

  • Holger Lüthen & Carsten Schröder & Markus M. Grabka & Jan Goebel & Tatjana Mika & Daniel Brüggmann & Sebastian Ellert & Hannah Penz, 2021. "SOEP-RV: Linking German Socio-Economic Panel Data to Pension Records," SOEPpapers on Multidisciplinary Panel Data Research 1137, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp1137
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    References listed on IDEAS

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    1. Stephen P. Jenkins & Lorenzo Cappellari & Peter Lynn & Annette Jäckle & Emanuela Sala, 2006. "Patterns of consent: evidence from a general household survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 701-722, October.
    2. Holger Lüthen, 2016. "Rates of Return and Early Retirement Disincentives: Evidence from a German Pension Reform," German Economic Review, Verein für Socialpolitik, vol. 17(2), pages 206-233, May.
    3. Steffen Künn, 2015. "The challenges of linking survey and administrative data," IZA World of Labor, Institute of Labor Economics (IZA), pages 214-214, December.
    4. repec:iab:iabfme:201109(de is not listed on IDEAS
    5. Anika Rasner & Joachim R. Frick & Markus M. Grabka, 2013. "Statistical Matching of Administrative and Survey Data," Sociological Methods & Research, , vol. 42(2), pages 192-224, May.
    6. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    7. Schröder, Carsten & König, Johannes & Fedorets, Alexandra & Goebel, Jan & Grabka, Markus M. & Lüthen, Holger & Metzing, Maria & Schikora, Felicitas & Liebig, Stefan, 2020. "The economic research potentials of the German Socio-Economic Panel study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 21(3), pages 335-371.
    8. Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
    9. Noemi Betancort Cabrera & Elke C. Bongartz & Nora Dörrenbächer & Jan Goebel & Harald Kaluza & Pascal Siegers, 2020. "White Paper on implementing the FAIR principles for data in the Social, Behavioural, and Economic Sciences," RatSWD Working Papers 274, German Data Forum (RatSWD).
    10. Rasner, Anika & Frick, Joachim R. & Grabka, Markus M., 2013. "Statistical Matching of Administrative and Survey Data: An Application to Wealth Inequality Analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 42(2), pages 192-224.
    11. Coppola, Michela & Lamla, Bettina, 2012. "Empirical Research on Households’ Saving and Retirement Security: First Steps towards an Innovative Triple†Linked†Dataset," MEA discussion paper series 201207, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    12. Korbmacher, Julie M. & Schröder, Mathis, 2013. "Consent when Linking Survey Data with Administrative Records: The Role of the Interviewer," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(2), pages 115-131.
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    Cited by:

    1. Heiko Stüber & Markus M. Grabka & Daniel D. Schnitzlein, 2023. "A tale of two data sets: comparing German administrative and survey data using wage inequality as an example," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-18, December.

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    More about this item

    Keywords

    record linkage; SOEP; SOEP-RV; pension records; consent;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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