Changes in the Prevalence of Nonstandard Employment during the COVID-19 Pandemic

IF 0.4 4区 管理学 Q4 INDUSTRIAL RELATIONS & LABOR
Katelyn Mitri, Stephen Sartor
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Abstract

This paper addressed two research questions related to employment throughout the COVID-19 pandemic. First, how did the prevalence of different types of nonstandard employment change before and during the COVID-19 pandemic? Second, how did these changes differ by gender, immigration status, and age group? These questions are important to understanding how economic uncertainty and downturn may impact the types of employment that workers enter and who is impacted. This study pools together 10 Canadian Labour Force Surveys from May 2017 to November 2021 and employs a multivariate linear regression analysis to answer the previously stated research objectives. Within these regression models, we examined the likelihood of entering temporary employment, part-time employment, and nonstandard self-employment before and throughout the pandemic. We also ran several interaction models to test whether changes to different types of nonstandard employment differed by sex, immigration status, and age. These interactions tested whether the likelihood of nonstandard employment differs by each demographic group before and during the pandemic. The findings demonstrate that the COVID-19 pandemic differed from previous economic crises in its impact on nonstandard employment. The main finding was that rates of nonstandard wage work (temporary and part-time employment) decreased during the first initial lockdown and returned to pre-pandemic levels by the end of 2020. Meanwhile, own-account and part-time self-employment increased during the first wave of the pandemic. During the first few months of the pandemic, the rate of nonstandard employment had a narrower gender gap and a wider immigrant/non-immigrant gap. There is also some evidence that the nonstandard self-employment rate increased among immigrants and women during the first few months.
COVID-19大流行期间非标准就业流行率的变化
本文解决了与COVID-19大流行期间就业相关的两个研究问题。首先,在COVID-19大流行之前和期间,不同类型的非标准就业的患病率是如何变化的?其次,这些变化在性别、移民身份和年龄组之间有何不同?这些问题对于理解经济不确定性和衰退如何影响工人进入的就业类型以及受影响的人是很重要的。本研究汇集了2017年5月至2021年11月的10项加拿大劳动力调查,并采用多元线性回归分析来回答先前提出的研究目标。在这些回归模型中,我们检查了在大流行之前和整个大流行期间进入临时就业、兼职就业和非标准自营职业的可能性。我们还运行了几个交互模型来测试不同类型的非标准就业的变化是否因性别、移民身份和年龄而异。这些相互作用测试了在大流行之前和期间,每个人口群体的非标准就业可能性是否有所不同。研究结果表明,新冠肺炎大流行对非标准就业的影响不同于以往的经济危机。主要发现是,在第一次封锁期间,非标准工资工作(临时和兼职工作)的比例下降,到2020年底恢复到大流行前的水平。与此同时,在大流行的第一波期间,自营和兼职自营职业有所增加。在大流行的头几个月,非标准就业率的性别差距较小,移民/非移民差距较大。还有一些证据表明,移民和妇女的非标准自雇率在最初几个月有所上升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Relations Industrielles-Industrial Relations
Relations Industrielles-Industrial Relations INDUSTRIAL RELATIONS & LABOR-
CiteScore
0.40
自引率
0.00%
发文量
21
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