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

IF 2.5 2区计算机科学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS EPJ Data Science Pub Date : 2023-01-01 Epub Date: 2023-10-12 DOI:10.1140/epjds/s13688-023-00417-2

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

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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.

Supplementary information: The online version contains supplementary material available at 10.1140/epjds/s13688-023-00417-2.

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心理健康问题先于辞职：新冠肺炎大流行期间工作话语的转变和巨大的辞职。

为了研究2021年大辞职的原因，我们使用文本分析，调查了2018年至2021年间Reddit上与工作和辞职相关的帖子的变化。我们发现，Reddit的话语演变类似于美国辞职率和裁员率的动态。此外，当新冠肺炎大流行开始时，与在家工作、换工作、与工作有关的痛苦和心理健康有关的对话增加了，而关于通勤或搬家工作的讨论减少了。我们使用差异中的差异方法来区分与工作相关的一般话语变化和与辞职相关的特定话语变化。我们的主要发现是，自疫情爆发以来，心理健康和与工作相关的痛苦话题在辞职相关的职位中不成比例地增加，这可能是大辞职的原因之一。随着劳动力市场状况的改善，从2021年年中开始，这些担忧有所缓解。我们的研究强调了访问Reddit等在线论坛的数据以实时研究新兴经济现象的重要性，为传统的劳动力市场调查和行政数据提供了宝贵的补充。补充信息：在线版本包含补充材料，可访问10.1140/epjds/s1368-023-00417-2。

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来源期刊

EPJ Data Science MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -

CiteScore

6.10

自引率

5.60%

发文量

审稿时长

13 weeks

期刊介绍： EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.