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Identification of Attrition Bias Using Different Types of Panel Refreshments

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  • Adrian Chadi

    (Institute for Labour Law and Industrial Relations in the EU, University of Trier)

Abstract

Selective attrition out of longitudinal datasets is a concern for empirical researchers. This paper discusses a simple way to identify both direction and magnitude of potential sample bias in household panels. This idea is to exploit multiple types of simultaneous entries into the panel. The little known phenomenon of natural refreshments, which adds to entries through refreshments induced by data collectors, allows disentangling attrition bias from measurement errors connected to differences in participation experience (i.e. panel conditioning). A demonstrative application on subjective data from the German Socio-Economic Panel Study (SOEP) serves as an example and offers insights on health-related attrition.

Suggested Citation

  • Adrian Chadi, 2016. "Identification of Attrition Bias Using Different Types of Panel Refreshments," IAAEU Discussion Papers 201602, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    • Handle: RePEc:iaa:dpaper:201602
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    References listed on IDEAS

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    5. Adrian Chadi, 2019. "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(3), pages 519-553, October.
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    More about this item

    Keywords

    Subjective health; refreshment samples; household survey; sample selectivity; panel effects;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • I1 - Health, Education, and Welfare - - Health

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