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Attrition and selectivity of the NEPS starting cohorts: an overview of the past 8 years
[Ausfall und Selektivitäten in den NEPS Startkohorten: ein Überblick über die letzten 8 Jahre]

Author

Listed:
  • Sabine Zinn

    (German Institute for Economic Research (DIW)
    Leibniz Institute for Educational Trajectories (LIfBi))

  • Ariane Würbach

    (Leibniz Institute for Educational Trajectories (LIfBi))

  • Hans Walter Steinhauer

    (German Institute for Economic Research (DIW))

  • Angelina Hammon

    (German Institute for Economic Research (DIW))

Abstract

This article documents the number of target persons participating in the panel surveys of the National Educational Panel Study (NEPS) as well as the number of respondents who temporarily dropout and of those leaving the panel (attrition). NEPS comprises panel surveys with six mutually exclusive starting cohorts covering the complete life span. Sample sizes, numbers of participants and temporary as well as final dropouts and participation rates are reported in detail for each wave and for subsamples, if applicable. Sample particularities, such as the conversion of temporary dropouts into final ones, are elaborated on. All figures presented are derived from the corresponding Scientific Use Files (SUFs) published by February 1, 2018. Selectivity due to attrition (i.e., final dropouts) is studied. For this purpose, we examine how attrition distorts the NEPS samples with respect to relevant design variables (such as stratification criteria) and panel member characteristics (like sex and birth year). In detail, we study the panel status of each panel member, that is being part of the panel or having dropped out finally, along all of the panel waves with respect to starting cohort and population specific characteristics. We conclude this article with some recommendations for dealing with the detected selection bias in statistical analyses.

Suggested Citation

  • Sabine Zinn & Ariane Würbach & Hans Walter Steinhauer & Angelina Hammon, 2020. "Attrition and selectivity of the NEPS starting cohorts: an overview of the past 8 years [Ausfall und Selektivitäten in den NEPS Startkohorten: ein Überblick über die letzten 8 Jahre]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 14(2), pages 163-206, July.
    • Handle: RePEc:spr:astaws:v:14:y:2020:i:2:d:10.1007_s11943-020-00268-7
    DOI: 10.1007/s11943-020-00268-7
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    References listed on IDEAS

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    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Hans Walter Steinhauer & Christian Aßmann & Sabine Zinn & Solange Goßmann & Susanne Rässler, 2015. "Sampling and Weighting Cohort Samples in Institutional Contexts," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(2), pages 131-157, November.
    3. Hildegard Brauns & Susanne Steinmann, 1997. "Educational Reform in France, West-Germany, the United Kingdom and Hungary: Updating the CASMIN Educational Classification," MZES Working Papers 21, MZES.
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    Cited by:

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    2. Sam Sims & John Jerrim, 2022. "Traditional and progressive orientations to teaching: new empirical evidence on an old debate," CEPEO Working Paper Series 22-08, UCL Centre for Education Policy and Equalising Opportunities, revised Oct 2022.
    3. Melanie Fischer-Browne, 2022. "Pushing Higher or Lower? Divergent Parental Expectations and Compromises in Occupational Choice," Social Inclusion, Cogitatio Press, vol. 10(2), pages 240-251.
    4. Timo Schmid & Markus Zwick, 2020. "Vorwort der Herausgeber," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 14(2), pages 117-120, July.

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    More about this item

    Keywords

    National Educational Panel Study (NEPS); Case numbers; Selectivity; Attrition; Discrete time event history model;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • Y1 - Miscellaneous Categories - - Data: Tables and Charts
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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