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Unlocking further potential in the National Cohort study (NaKo) through comparability with the German Socio-Economic Panel

Author

Listed:
  • Hannes Kröger
  • Jürgen Schupp
  • Johann Behrens

Abstract

Background: The National Cohort (NaKo) will be one of the largest cohort studies in Europe to include intensive physical examinations and extensive information about the socio-demographic background and behavior of the subjects. However, regional selectivity of the study and potential learning effects due to the panel structure of the data present challenges for researchers using it. Methods: We discuss the two problems and show how they might lead to potential biases when trying to obtain results from the National Cohort that are representative for the total population of Germany. We suggest that the long-running German Socio-Economic Panel Study (SOEP) should be used as a reference data set for population means and as a control sample for detection of learning effects (“panel effects”) induced by information about the results of individual medical examinations.

Suggested Citation

  • Hannes Kröger & Jürgen Schupp & Johann Behrens, 2014. "Unlocking further potential in the National Cohort study (NaKo) through comparability with the German Socio-Economic Panel," RatSWD Working Papers 237, German Data Forum (RatSWD).
    • Handle: RePEc:rsw:rswwps:rswwps237
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    References listed on IDEAS

    as
    1. Lang, Frieder R. & John, Dennis & Lüdtke, Oliver & Schupp, Jürgen & Wagner, Gert G., 2011. "Short Assessment of the Big Five: Robust Across Survey Methods Except Telephone Interviewing," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(2), pages 548-567.
    2. Moritz Heß & Christian von Scheve & Jürgen Schupp & Gert G. Wagner, 2013. "Members of German Federal Parliament More Risk-Loving Than General Population," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 3(4), pages 20-24.
    3. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
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