@article{Chadi2021Ident-53514,
  year={2021},
  doi={10.1016/j.econlet.2021.109777},
  title={Identification of attrition bias using different types of panel refreshments},
  volume={201},
  issn={0165-1765},
  journal={Economics Letters},
  author={Chadi, Adrian},
  note={Article Number: 109777}
}

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    <dc:creator>Chadi, Adrian</dc:creator>
    <dcterms:title>Identification of attrition bias using different types of panel refreshments</dcterms:title>
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    <dcterms:abstract xml:lang="eng">Selective attrition out of longitudinal datasets is a concern for empirical researchers. This note illustrates a simple way to identify potential attrition bias in panel surveys by exploiting multiple types of simultaneous entries into a panel survey. The little-known phenomenon of natural refreshments, which adds to entries through refreshments induced by data collectors, allows for attrition bias to be disentangled 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- and happiness-related attrition in panel surveys.</dcterms:abstract>
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    <dc:contributor>Chadi, Adrian</dc:contributor>
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