IDEAS home Printed from https://ideas.repec.org/p/wrk/wrkesp/13.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://warwick.ac.uk/fac/soc/economics/research/wmesp/manage/13_-_stepan_vacha.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Joye Khoo & Adrian (Wai Kong) Cheung, 2023. "Does skilled labor risk matter to suppliers? Evidence from trade credit," The Financial Review, Eastern Finance Association, vol. 58(2), pages 423-447, May.
    3. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    4. Blanas, Sotiris & Oikonomou, Rigas, 2023. "COVID-induced economic uncertainty, tasks and occupational demand," Labour Economics, Elsevier, vol. 81(C).
    5. Alejandra Bellatin & Gabriela Galassi, 2022. "What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada," Staff Working Papers 22-17, Bank of Canada.
    6. Leslie, Emily & Wilson, Riley, 2020. "Sheltering in place and domestic violence: Evidence from calls for service during COVID-19," Journal of Public Economics, Elsevier, vol. 189(C).
    7. Leonardo Fabio Morales & Leonardo Bonilla‐Mejía & Jose Pulido & Luz A. Flórez & Didier Hermida & Karen L. Pulido‐Mahecha & Francisco Lasso‐Valderrama, 2022. "Effects of the COVID‐19 pandemic on the Colombian labour market: Disentangling the effect of sector‐specific mobility restrictions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 308-357, February.
    8. Shiqi Jiang & Lingli Qi & Xinyue Lin, 2022. "The Impacts of COVID-19 Shock on Intergenerational Income Mobility: Evidence from China," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    9. Hensvik, Lena & Le Barbanchon, Thomas & Rathelot, Roland, 2021. "Job search during the COVID-19 crisis," Journal of Public Economics, Elsevier, vol. 194(C).
    10. He, Chuan & Mau, Karsten & Xu, Mingzhi, 2021. "Trade Shocks and Firms Hiring Decisions:," Research Memorandum 001, Maastricht University, Graduate School of Business and Economics (GSBE).
    11. Fang, Hanming & Ge, Chunmian & Huang, Hanwei & Li, Hongbin, 2020. "Pandemics, global supply chains and local labor demand: evidence from 100 million posted jobs in China," LSE Research Online Documents on Economics 108489, London School of Economics and Political Science, LSE Library.
    12. Ali Zarifhonarvar, 2023. "A Survey on the Impact of Covid-19 on the Labor Market," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 9(1), pages 1-10, 03-2023.
    13. He, Chuan & Mau, Karsten & Xu, Mingzhi, 2021. "Trade Shocks and Firms Hiring Decisions: Evidence from Vacancy Postings of Chinese Firms in the Trade War," Labour Economics, Elsevier, vol. 71(C).
    14. Barth, Erling & Dale-Olsen, Harald & Schone, Pal & Ostbakken, Kjersti Misje, 2021. "Chutes and Ladders? Job Opportunities for Generation COVID," IZA Discussion Papers 14530, Institute of Labor Economics (IZA).
    15. Caglayan, Mustafa & Talavera, Oleksandr & Xiong, Lin, 2022. "Female small business owners in China: Discouraged, not discriminated," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    16. Faryna, Oleksandr & Pham, Tho & Talavera, Oleksandr & Tsapin, Andriy, 2020. "Wage Setting and Unemployment: Evidence from Online Job Vacancy Data," GLO Discussion Paper Series 503, Global Labor Organization (GLO).
    17. Łukasz Arendt & Eugeniusz Kwiatkowski, 2023. "Kontrowersje wokół wpływu nowoczesnych technologii na zatrudnienie i bezrobocie," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 195-216.
    18. Brown, Jessica H. & Herbst, Chris M., 2021. "Child Care over the Business Cycle," IZA Discussion Papers 14048, Institute of Labor Economics (IZA).
    19. Sumedha Gupta & Laura Montenovo & Thuy Nguyen & Felipe Lozano‐Rojas & Ian Schmutte & Kosali Simon & Bruce A. Weinberg & Coady Wing, 2023. "Effects of social distancing policy on labor market outcomes," Contemporary Economic Policy, Western Economic Association International, vol. 41(1), pages 166-193, January.
    20. 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).

    More about this item

    Keywords

    Labor Demand ; Labor Economics ; Labor Market Data ; COVID-19 JEL Classification: J230;
    All these keywords.

    JEL classification:

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wrk:wrkesp:13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Margaret Nash (email available below). General contact details of provider: https://edirc.repec.org/data/dewaruk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.