EPJ Data Science (Oct 2023)

Mental health concerns precede quits: shifts in the work discourse during the Covid-19 pandemic and great resignation

  • R. Maria del Rio-Chanona,
  • Alejandro Hermida-Carrillo,
  • Melody Sepahpour-Fard,
  • Luning Sun,
  • Renata Topinkova,
  • Ljubica Nedelkoska

DOI
https://doi.org/10.1140/epjds/s13688-023-00417-2
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 26

Abstract

Read online

Abstract To study the causes of the 2021 Great Resignation, we use text analysis and investigate the changes in work- and quit-related posts between 2018 and 2021 on Reddit. We find that the Reddit discourse evolution resembles the dynamics of the U.S. quit and layoff rates. Furthermore, when the COVID-19 pandemic started, conversations related to working from home, switching jobs, work-related distress, and mental health increased, while discussions on commuting or moving for a job decreased. We distinguish between general work-related and specific quit-related discourse changes using a difference-in-differences method. Our main finding is that mental health and work-related distress topics disproportionally increased among quit-related posts since the onset of the pandemic, likely contributing to the quits of the Great Resignation. Along with better labor market conditions, some relief came beginning-to-mid-2021 when these concerns decreased. Our study underscores the importance of having access to data from online forums, such as Reddit, to study emerging economic phenomena in real time, providing a valuable supplement to traditional labor market surveys and administrative data.

Keywords