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Improving timeliness and accuracy of estimates from the UK labour force survey

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  • D. J. Elliott
  • P. Zong

Abstract

Estimates of unemployment in the UK are based on data collected in the Labour Force Survey (LFS). The data is collected continuously and the survey design is structured in such a way as to provide quarterly estimates. These quarterly estimates are published each month as ‘rolling quarterly’ estimates. Currently the Office for National Statistics (ONS) publish rolling quarterly estimates, and these have been assessed to be of sufficient quality to be badged as ‘National Statistics’. ONS also publish monthly estimates of a selection of labour force variables, but these are designated ‘Experimental Statistics’ due to concerns over the quality of these data. Due to the sample design of the LFS, monthly estimates of change are volatile as there is no sample overlap. A state space model can be used to develop improved estimates of monthly change, accounting for aspects of the survey design. An additional source of information related to unemployment is administrative data on the number of people claiming unemployment related benefits. This data is more timely than survey data collected in the LFS and can be used to provide early estimates of monthly unemployment.

Suggested Citation

  • D. J. Elliott & P. Zong, 2019. "Improving timeliness and accuracy of estimates from the UK labour force survey," Statistical Theory and Related Fields, Taylor & Francis Journals, vol. 3(2), pages 186-198, July.
    • Handle: RePEc:taf:tstfxx:v:3:y:2019:i:2:p:186-198
    DOI: 10.1080/24754269.2019.1676034
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    Cited by:

    1. Caio Gonçalves & Luna Hidalgo & Denise Silva & Jan van den Brakel, 2022. "Single‐month unemployment rate estimates for the Brazilian Labour Force Survey using state‐space models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1707-1732, October.

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