Publikation:

Identification of attrition bias using different types of panel refreshments

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2021

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http://nbn-resolving.de/urn:nbn:de:bsz:352-2-bt3ln79xzxgd5
DOI (zitierfähiger Link)
https://doi.org/10.1016/j.econlet.2021.109777
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Open Access Green

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Wirtschaftswissenschaften: Publikationen
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Economics Letters. Elsevier. 2021, 201, 109777. ISSN 0165-1765. eISSN 1873-7374. Verfügbar unter: doi: 10.1016/j.econlet.2021.109777

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
330 Wirtschaft

Schlagwörter

Non-response; Refreshment samples; Household survey; Panel conditioning; Subjective health; Life satisfaction

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ISO 690CHADI, Adrian, 2021. Identification of attrition bias using different types of panel refreshments. In: Economics Letters. Elsevier. 2021, 201, 109777. ISSN 0165-1765. eISSN 1873-7374. Verfügbar unter: doi: 10.1016/j.econlet.2021.109777
BibTex
@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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