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

被引:1
|
作者
del Rio-Chanona, R. Maria [1 ,2 ]
Hermida-Carrillo, Alejandro [3 ]
Sepahpour-Fard, Melody [4 ,5 ]
Sun, Luning [6 ]
Topinkova, Renata [7 ]
Nedelkoska, Ljubica [1 ,2 ]
机构
[1] Complex Sci Hub, Vienna, Austria
[2] Harvard Univ, Harvard Kennedy Sch, Growth Lab, Cambridge, MA 02138 USA
[3] LMU Munich Sch Management, Munich, Germany
[4] Sci Fdn Ireland Ctr Res Training Fdn Data Sci, Limerick, Ireland
[5] Univ Limerick, Dept Math & Stat MACSI, Limerick, Ireland
[6] Univ Cambridge, Psychometr Ctr, Cambridge, England
[7] Ludwig Maximilians Univ Munchen, Dept Sociol, Munich, Germany
关键词
Mental health; Quit; Great Resignation; Topic modelling; Labor market; COVID-19;
D O I
10.1140/epjds/s13688-023-00417-2
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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.
引用
收藏
页数:26
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