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Labor Market Tightness in Advanced Economies

Author

Listed:
  • Mr. Romain A Duval
  • Yi Ji
  • Longji Li
  • Myrto Oikonomou
  • Carlo Pizzinelli
  • Mr. Ippei Shibata
  • Alessandra Sozzi
  • Kirsi Silvennoinen
  • Ms. Marina Mendes Tavares

Abstract

Two years after the onset of the COVID-19 pandemic, a puzzle has emerged in several advanced economies: unfilled job vacancies have increased sharply even though employment has yet to fully recover. This note sheds light on three contributing factors, namely barriers to returning to work, changing worker preferences away from certain types of jobs, and sectoral and occupational job mismatch. The note also assesses the impact of labor market tightness on wage growth, showing that it has been large for low-pay jobs but milder overall. Bringing disadvantaged groups of workers into the labor force, including by controlling the pandemic itself, would ease labor market pressures while amplifying the recovery and making it more inclusive.

Suggested Citation

  • Mr. Romain A Duval & Yi Ji & Longji Li & Myrto Oikonomou & Carlo Pizzinelli & Mr. Ippei Shibata & Alessandra Sozzi & Kirsi Silvennoinen & Ms. Marina Mendes Tavares, 2022. "Labor Market Tightness in Advanced Economies," IMF Staff Discussion Notes 2022/001, International Monetary Fund.
    • Handle: RePEc:imf:imfsdn:2022/001
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    Citations

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    Cited by:

    1. Groiss, Martin & Sondermann, David, 2023. "Help wanted: the drivers and implications of labour shortages," Working Paper Series 2863, European Central Bank.
    2. Lorena Skufi & Adam Geršl, 2023. "Using Macrofinancial Models to Simulate Macroeconomic Developments During the COVID-19 Pandemic: The Case of Albania," Eastern European Economics, Taylor & Francis Journals, vol. 61(5), pages 517-553, September.
    3. Marco Guerrazzi, 2023. "Optimal growth with labor market frictions," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(4), pages 961-987, December.
    4. David Evans & Claire Mason & Haohui Chen & Andrew Reeson, 2023. "An algorithm for predicting job vacancies using online job postings in Australia," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.

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