Errors in Survey and Administrative Data on Employment Earnings: Austria and the United Kingdom Compared

Christopher R. Bollinger (), Stephen P. Jenkins (), Fernando Rios-Avila () and Iva V. Tasseva
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Christopher R. Bollinger: University of Kentucky
Stephen P. Jenkins: London School of Economics
Fernando Rios-Avila: Levy Economics Institute
Iva V. Tasseva: LSE

No 18129, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We contribute new cross-national evidence about the nature of measurement errors in employment earnings, fitting the same error components model to harmonised earnings data for Austria and the UK. The model allows for measurement error in the administrative data and linkage error as well as survey measurement error. We find several cross-national similarities in error structure but also intriguing differences in error component probabilities, means, and dispersions.

Keywords: administrative data; linked survey data; earnings; linkage error; measurement error; finite mixture models (search for similar items in EconPapers)
JEL-codes: C81 C83 D31 (search for similar items in EconPapers)
Date: 2025-09
New Economics Papers: this item is included in nep-lma and nep-ltv
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