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  1. On the fade-away of an initial bias in longitudinal surveys
    Author: Rendtel, Ulrich; Alho, Juha M.
    Published: [2022]
    Publisher:  Freie Universität Berlin, Berlin

    We propose a novel view of selection bias in longitudinal surveys. Such bias may arise from initial nonresponse in a probability sample, or it may be caused by self-selection in an internet survey. A contraction theorem from mathematical demography... more

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 79
    Inter-library loan:
    No inter-library loan

     

    We propose a novel view of selection bias in longitudinal surveys. Such bias may arise from initial nonresponse in a probability sample, or it may be caused by self-selection in an internet survey. A contraction theorem from mathematical demography is used to show that an initial bias can "fade-away" in later panel waves, if the transition laws in the observed sample and the population are identical. Panel attrition is incorporated into the Markovian framework. Extensions to Markov chains of higher order are given, and the limitations of our approach under population heterogeneity are discussed. We use empirical data from a German Labour Market Panel to demonstrate the extend and speed of the fade-away effect. The implications of the new approach on the treatment of nonresponse, and attrition weighting, are discussed.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/251119
    Series: Array ; 2022, 4
    Subjects: Longitudinal survey; panel survey; internet recruitment; panel attrition; nonresponse bias; self-selection bias; Markov chain; Mover-Stayer model; weak ergodicity
    Scope: 1 Online-Ressource (circa 28 Seiten), Illustrationen