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

Author

Listed:
  • Bollinger, Christopher R.

    (University of Kentucky)

  • Jenkins, Stephen P.

    (London School of Economics)

  • Rios-Avila, Fernando

    (Levy Economics Institute)

  • Tasseva, Iva V.

    (LSE)

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.

Suggested Citation

  • Bollinger, Christopher R. & Jenkins, Stephen P. & Rios-Avila, Fernando & Tasseva, Iva V., 2025. "Errors in Survey and Administrative Data on Employment Earnings: Austria and the United Kingdom Compared," IZA Discussion Papers 18129, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp18129
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    References listed on IDEAS

    as
    1. Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 513-551.
    2. Jenkins, Stephen P. & Rios-Avila, Fernando, 2021. "Reconciling Reports: Modelling Employment Earnings and Measurement Errors Using Linked Survey and Administrative Data," IZA Discussion Papers 14405, Institute of Labor Economics (IZA).
    3. repec:taf:jnlbes:v:30:y:2012:i:2:p:191-201 is not listed on IDEAS
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    Keywords

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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