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Analysing establishment survey non‐response using administrative data and machine learning
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Küfner, Benjamin, Sakshaug, Joseph W. and Zins, Stefan (2023) Analysing establishment survey non‐response using administrative data and machine learning. Journal of the Royal Statistical Society: Series A . doi:10.1111/rssa.12942 ISSN 0964-1998.
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Official URL: https://doi.org/10.1111/rssa.12942
Abstract
Declining participation in voluntary establishment surveys poses a risk of increasing non‐response bias over time. In this paper, response rates and non‐response bias are examined for the 2010–2019 IAB Job Vacancy Survey. Using comprehensive administrative data, we formulate and test several theory‐driven hypotheses on survey participation and evaluate the potential of various machine learning algorithms for non‐response bias adjustment. The analysis revealed that while the response rate decreased during the decade, no concomitant increase in aggregate non‐response bias was observed. Several hypotheses of participation were at least partially supported. Lastly, the expanded use of administrative data reduced non‐response bias over the standard weighting variables, but only limited evidence was found for further non‐response bias reduction through the use of machine learning methods.
Item Type: | Journal Article | ||||||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics |
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Divisions: | Faculty of Social Sciences > Institute for Employment Research | ||||||||
SWORD Depositor: | Library Publications Router | ||||||||
Library of Congress Subject Headings (LCSH): | Job vacancies -- Statistics, Labor supply -- Statistics, Surveys -- Statistical methods, Electronic data processing -- Quality control, Machine learning | ||||||||
Journal or Publication Title: | Journal of the Royal Statistical Society: Series A | ||||||||
Publisher: | Wiley-Blackwell Publishing Ltd. | ||||||||
ISSN: | 0964-1998 | ||||||||
Official Date: | 2023 | ||||||||
Dates: |
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DOI: | 10.1111/rssa.12942 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 15 December 2022 | ||||||||
Date of first compliant Open Access: | 15 December 2022 | ||||||||
RIOXX Funder/Project Grant: |
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