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Earnings: summary of sources and developments

Author

Listed:
  • Robert Hayes

    (Office for National Statistics)

  • Catrin Omerod

    (Office for National Statistics)

  • Felix Ritchie

    (Office for National Statistics)

Abstract

Draws together the various sources of earnings aggregates to investigate similarities and inconsistencies and to improve understanding of this data. UK earnings data are collected through many different channels and summarised using different methods. Hence, the stories told by aggregate figures may appear to conflict with one another. While the overall picture of earnings is similar, thereare important differences in the detail.This article draws together the various sources of earnings aggregates to investigate similarities and inconsistenciesand to improve understanding of this data. In particular, this work highlights the benefit from bringing sources togetherat the unit level to enhance analytical capability and throw more light on the coherence between data sources.In the last eighteen months, the Office for National Statistics has linked datasets using a range of innovative techniquesto enhance analytical capability and carry out micro-level consistency checks. The richness of the linked datasets hasbrought out a number of new important results which are summarised in this article. Economic & Labour Market Review (2007) 1, 42–47; doi:10.1057/palgrave.elmr.1410011

Suggested Citation

  • Robert Hayes & Catrin Omerod & Felix Ritchie, 2007. "Earnings: summary of sources and developments," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 1(1), pages 42-47, January.
    • Handle: RePEc:pal:ecolmr:v:1:y:2007:i:1:p:42-47
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    Cited by:

    1. Gauthier Lanot & Panos Sousounis, 2017. "The National Minimum Wage and the Substitutability Between Young and Old Workers in Low Paid Occupations," Manchester School, University of Manchester, vol. 85(5), pages 601-633, September.
    2. Jamie C. Moore & Peter W. F. Smith & Gabriele B. Durrant, 2018. "Correlates of record linkage and estimating risks of non‐linkage biases in business data sets," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1211-1230, October.

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