Artikel

Establishment survey participation during the COVID-19 pandemic

Establishment surveys around the globe have measured the impact of the COVID-19 pandemic on establishments' conditions and business practices. At the same time, the consequences of the pandemic, such as closures, hygiene standards, or remote work arrangements, may have also altered patterns of survey participation and introduced nonresponse bias, threatening the quality of establishment survey data. To investigate these issues, this article examines fieldwork outcomes, nonresponse bias, and predictors of survey participation in the IAB-Job Vacancy Survey. As comparisons with previous survey years show, it became more difficult to successfully interview establishments during the COVID-19 pandemic. Using linked administrative data, we show that nonresponse bias was higher in 2020 compared to previous years, even after applying the standard weighting adjustment. However, general patterns of survey participation in 2020 were similar to previous years and COVID-19 related measures were not strong predictors of survey participation in 2020. Further, we provide evidence that nonresponse bias during the pandemic can be reduced by incorporating additional administrative variables into the weighting procedure relative to the standard weighting variables. We conclude this article with a discussion of the findings and implications for survey practitioners.

Sprache
Englisch

Erschienen in
Journal: Journal for Labour Market Research ; ISSN: 2510-5027 ; Volume: 56 ; Year: 2022 ; Issue: 1 ; Pages: 1-18

Klassifikation
Wirtschaft
Survey Methods; Sampling Methods
Thema
Fieldwork efort
Nonresponse bias
Data collection
Weighting adjustment administrative data
IAB Job Vacancy Survey

Ereignis
Geistige Schöpfung
(wer)
Küfner, Benjamin
Sakshaug, Joseph W.
Zins, Stefan
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2022

DOI
doi:10.1186/s12651-022-00321-8
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Küfner, Benjamin
  • Sakshaug, Joseph W.
  • Zins, Stefan
  • Springer

Entstanden

  • 2022

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