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Labour demand in the UK during the COVID-19 pandemic : evidence from online job postings

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  • Vacha, Stepan

    (University of Warwick)

Abstract

The COVID-19 pandemic hit the labour market significantly through its impact on human health. This paper uses job posting data to measure the effect of the pandemic on labour demand in the UK throughout 2020, including estimates of recovery. It demonstrates the advantage of using online job vacancies to monitor the labour market compared to lagged estimates or surveys used by the Office for National Statistics (ONS). The labour demand shock is found to be of a similar size to those reported in the US or Sweden. Total weekly vacancies posted online were down by 39% during the fist wave and 12.5% in the second half of 2020, representing a significant, but not full recovery. The significance and size of the shock vary among different industries of the economy. All industries except Human health & social work activities have seen a significant drop in job postings due to the pandemic, with the Accommodation & food service activities sector being hit the most. Although the ONS estimates have grasped the main impact of the pandemic on vacancies, using real-time data can provide the policymakers with a much-needed timely information when dealing with a shock like the global health pandemic.

Suggested Citation

  • Vacha, Stepan, 2021. "Labour demand in the UK during the COVID-19 pandemic : evidence from online job postings," Warwick-Monash Economics Student Papers 13, Warwick Monash Economics Student Papers.
    • Handle: RePEc:wrk:wrkesp:13
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    File URL: https://warwick.ac.uk/fac/soc/economics/research/wmesp/manage/13_-_stepan_vacha.pdf
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    References listed on IDEAS

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    1. Arthur Turrell & Bradley Speigner & Jyldyz Djumalieva & David Copple & James Thurgood, 2019. "Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 173-207, National Bureau of Economic Research, Inc.
    2. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2020. "Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims," Journal of Public Economics, Elsevier, vol. 189(C).
    3. Murillo Campello & Gaurav Kankanhalli & Pradeep Muthukrishnan, 2020. "Corporate Hiring under COVID-19: Labor Market Concentration, Downskilling, and Income Inequality," NBER Working Papers 27208, National Bureau of Economic Research, Inc.
    4. Alfonso ARPAIA & Nicola CURCI, "undated". "EU labour market behaviour during the Great Recession," Working Papers wp2010-6, Department of the Treasury, Ministry of the Economy and of Finance.
    5. Beata Javorcik & Ben Kett & Layla O'Kane, 2019. "The Brexit Vote and Labour Demand: Evidence from Online Job Postings," Economics Series Working Papers 878, University of Oxford, Department of Economics.
    6. 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.
    7. Adrjan, Pawel & Lydon, Reamonn, 2020. "Covid-19 and the global labour market: Impact on job postings," Economic Letters 03/EL/20, Central Bank of Ireland.
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    Keywords

    Labor Demand ; Labor Economics ; Labor Market Data ; COVID-19 JEL Classification: J230;
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