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Apprenticeships and Firm Performance an Empirical Investigation Using “Big Data” for All English Businesses

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  • Stefan Speckesser
  • Lei Xu

Abstract

There are quite a few robust estimates of the earnings effects of successful apprenticeships for individuals, but there is a shortage of research concerning the relationship between apprentices and firm performance, and most of this study is qualitative or based on surveys. This paper aims for an empirical investigation of this relationship using quantitative data available from large government registers. We analyse data for all English businesses, which—linked to Individual Learner Record data (ILR) for participants in apprenticeship programmes—provide structural information on apprenticeship firms and other firms for the years 2010 to 2015. The descriptions show that around 10%–15% of all eligible firms undertook apprenticeships and that apprenticeship firms are larger both in terms of turnover and employment than other firms. Regression analysis is used to explore the nature of the relationship between apprenticeships and the firms' turnover. In models employing a range of observable characteristics and using Inverse Probability Weighting to alleviate the selection into apprenticeships, our findings point towards a positive relationship between engaging in apprenticeships and firm growth, but not to a change in business productivity.

Suggested Citation

  • Stefan Speckesser & Lei Xu, 2026. "Apprenticeships and Firm Performance an Empirical Investigation Using “Big Data” for All English Businesses," Industrial Relations Journal, Wiley Blackwell, vol. 57(1), pages 87-101, January.
    • Handle: RePEc:bla:indrel:v:57:y:2026:i:1:p:87-101
    DOI: 10.1111/irj.70016
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    References listed on IDEAS

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