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Using job vacancies to understand the effects of labour market mismatch on UK output and productivity

Author

Listed:
  • Turrell, Arthur

    (Bank of England)

  • Speigner, Bradley

    (Bank of England)

  • Djumalieva, Jyldyz

    (Bank of England)

  • Copple, David

    (Bank of England)

  • Thurgood, James

    (Bank of England)

Abstract

Mismatch in the labour market has been implicated as a driver of the UK’s productivity ‘puzzle’, the phenomenon describing how the growth rate and level of UK productivity have fallen behind their respective pre-Great Financial Crisis trends. Using a new dataset of around 15 million job adverts originally posted online, we examine the extent to which eliminating occupational or regional mismatch would have boosted productivity and output growth in the UK in the post-crisis period. To show how aggregate labour market data hide important heterogeneity, we map the naturally occurring vacancy data into official occupational classifications using a novel application of text analysis. The effects of mismatch on aggregate UK productivity and output are driven by dispersion in regional or occupational productivity, tightness, and matching efficiency. We find, contrary to previous work, that unwinding occupational mismatch would have had a weak effect on growth in the post-crisis period. However, unwinding regional mismatch would have substantially boosted output and productivity relative to their realised paths, bringing them in line with their pre-crisis trends.

Suggested Citation

  • Turrell, Arthur & Speigner, Bradley & Djumalieva, Jyldyz & Copple, David & Thurgood, James, 2018. "Using job vacancies to understand the effects of labour market mismatch on UK output and productivity," Bank of England working papers 737, Bank of England.
  • Handle: RePEc:boe:boeewp:0737
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    Citations

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    Cited by:

    1. Jung, Philip & Korfmann, Philipp & Preugschat, Edgar, 2023. "Optimal regional labor market policies," European Economic Review, Elsevier, vol. 152(C).
    2. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    3. Stef Garasto & Jyldyz Djumalieva & Karlis Kanders & Rachel Wilcock & Cath Sleeman, 2021. "Developing experimental estimates of regional skill demand," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-02, Economic Statistics Centre of Excellence (ESCoE).
    4. Ljubica Nedelkoska & Frank Neffke, 2019. "Skill Mismatch and Skill Transferability: Review of Concepts and Measurements," Papers in Evolutionary Economic Geography (PEEG) 1921, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2019.
    5. Ms. Era Dabla-Norris & Carlo Pizzinelli & Jay Rappaport, 2019. "Job Polarization and the Declining Fortunes of the Young: Evidence from the United Kingdom," IMF Working Papers 2019/216, International Monetary Fund.
    6. Bradley, Jake & Ruggieri, Alessandro & Spencer, Adam Hal, 2021. "Twin Peaks: Covid-19 and the labor market," European Economic Review, Elsevier, vol. 138(C).
    7. Turrell, Arthur & Thurgood, James & Djumalieva, Jyldyz & Copple, David & Speigner, Bradley, 2018. "Using online job vacancies to understand the UK labour market from the bottom-up," Bank of England working papers 742, Bank of England.
    8. Jyldyz Djumalieva & Stef Garasto & Cath Sleeman, 2020. "Evaluating a new earnings indicator. Can we improve the timeliness of existing statistics on earnings by using salary information from online job adverts?," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-19, Economic Statistics Centre of Excellence (ESCoE).
    9. Cardenas, J, 2020. "Possible uses of labour demand and supply information to reduce skill mismatches," Documentos de trabajo - Alianza EFI 18987, Alianza EFI.
    10. Tara Sinclair & Martha Gimbel, 2020. "Mismatch in Online Job Search," Working Papers 2020-1, The George Washington University, Institute for International Economic Policy.
    11. Corinna Ghirelli & Juan Peñalosa & Javier J. Pérez & Alberto Urtasun, 2019. "Some implications of new data sources for economic analysis and official statistics," Economic Bulletin, Banco de España, issue JUN.
    12. Kyungho Song & Hyun Kim & Jisoo Cha & Taedong Lee, 2021. "Matching and Mismatching of Green Jobs: A Big Data Analysis of Job Recruiting and Searching," Sustainability, MDPI, vol. 13(7), pages 1-15, April.

    More about this item

    Keywords

    Vacancies; matching; mismatch;
    All these keywords.

    JEL classification:

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

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