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Is the UK’s productivity puzzle mostly driven by occupational mismatch? An analysis using big data on job vacancies

Author

Listed:
  • Turrell, Arthur
  • Speigner, Bradley
  • Copple, David
  • Djumalieva, Jyldyz
  • Thurgood, James

Abstract

Uncertainty still remains as to the cause of the UK’s dramatic productivity puzzle that began during the Great Financial Crisis. Occupational mismatch has been implicated as driving up to two thirds of it. However, obtaining the high quality time series data for vacancies by job occupation that are required to measure occupational mismatch is a significant challenge. We confront this issue by using a weighted dataset of 15 million job adverts posted online that cover most of the post-crisis period and that enable us to test whether occupational mismatch still stands up as an explanation for the UK productivity puzzle. We find little evidence that it does, mainly because, relative to the data used in similar analysis by Patterson et al. (2016), our vacancy data imply greater heterogeneity in occupational matching frictions, a key determinant of the optimal distribution of labour across job types.

Suggested Citation

  • Turrell, Arthur & Speigner, Bradley & Copple, David & Djumalieva, Jyldyz & Thurgood, James, 2021. "Is the UK’s productivity puzzle mostly driven by occupational mismatch? An analysis using big data on job vacancies," Labour Economics, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:labeco:v:71:y:2021:i:c:s0927537121000488
    DOI: 10.1016/j.labeco.2021.102013
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    References listed on IDEAS

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    Cited by:

    1. Maciej Berk{e}sewicz & Marek Wydmuch & Herman Cherniaiev & Robert Pater, 2024. "Multilingual hierarchical classification of job advertisements for job vacancy statistics," Papers 2411.03779, arXiv.org, revised Aug 2025.
    2. Julia Darby & Stuart McIntyre & Graeme Roy, 2022. "What can analysis of 47 million job advertisements tell us about how opportunities for homeworking are evolving in the United Kingdom?," Industrial Relations Journal, Wiley Blackwell, vol. 53(4), pages 281-302, July.
    3. Anja Bauer, 2024. "Accounting for qualification in mismatch unemployment," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 58(1), pages 1-23, December.
    4. Gordon Betcherman & Nicholas Giannakopoulos & Ioannis Laliotis & Ioanna Pantelaiou & Mauro Testaverde & Giannis Tzimas, 2023. "The short-term impact of the 2020 pandemic lockdown on employment in Greece," Empirical Economics, Springer, vol. 65(3), pages 1273-1307, September.
    5. Pizzinelli, Carlo & Shibata, Ippei, 2023. "Has COVID-19 induced labor market mismatch? Evidence from the US and the UK," Labour Economics, Elsevier, vol. 81(C).

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    More about this item

    Keywords

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    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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