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新冠疫情期间的工会与危险津贴:来自加拿大劳动力调查的证据

Unions and hazard pay for COVID-19: Evidence from the Canadian Labour Force Survey.

作者信息

Lamb Danielle, Gomez Rafael, Moghaddas Milad

机构信息

Ted Rogers School of Management Ryerson University Toronto Ontario Canada.

Centre for Industrial Relations and Human Resources University of Toronto Toronto Ontario Canada.

出版信息

Br J Ind Relat. 2021 Nov 1. doi: 10.1111/bjir.12649.

Abstract

In this article, we examine whether (and by how much) workers in Canada have been compensated for the 'novel' risks associated with COVID-19. We create a unique dataset from a system that scores occupations in the US O*NET database for COVID-19 exposure. We then combine those COVID exposure scores with Canadian occupational data contained in the Public Use Microdata File of the Labour Force Survey. This allows us to categorize Canadian occupations based on COVID-19 exposure risk. We find a long-tailed distribution of COVID-19 risk scores across occupations, with most jobs at the lower end of the risk spectrum and relatively few occupations accounting for most of the high COVID-19 exposure risk. We find that workers who are already more vulnerable in the labour market (i.e. youth, women and immigrants) are also more likely to be employed in occupations with high COVID-19 exposure risk. When we look at the relationship between high-COVID exposure risks in occupation and wages, we find negative compensating differentials both at the mean (negative 8%) and across the earnings distribution. However, when workers are covered by a union, they enjoy a sizeable hazard pay premium (11.7% on average) as compared to their non-union counterparts. Furthermore, we find that the moderating effects of unionization for workers at high risk of COVID exposure to be largest at the bottom of the earnings distribution (i.e. the 10th percentile of unionized earners receives a 12.3% risk premium for high-COVID exposure, whereas the 90th percentile receives only a 2%).

摘要

在本文中,我们研究了加拿大的工人是否(以及在多大程度上)因与新冠疫情相关的“新”风险而获得了补偿。我们从一个对美国职业信息网络(O*NET)数据库中的职业进行新冠疫情暴露评分的系统创建了一个独特的数据集。然后,我们将这些新冠疫情暴露评分与劳动力调查公共使用微观数据文件中包含的加拿大职业数据相结合。这使我们能够根据新冠疫情暴露风险对加拿大职业进行分类。我们发现,各职业的新冠疫情风险评分呈长尾分布,大多数工作处于风险范围的低端,而占高新冠疫情暴露风险大部分的职业相对较少。我们发现,在劳动力市场中本就较为脆弱的工人(即年轻人、女性和移民)也更有可能受雇于新冠疫情暴露风险高的职业。当我们研究职业中的高新冠疫情暴露风险与工资之间的关系时,我们发现在均值(负8%)和整个收入分布中都存在负补偿性差异。然而,当工人加入工会时,与非工会同行相比,他们能获得可观的危险津贴溢价(平均为11.7%)。此外,我们发现,工会化对高新冠疫情暴露风险工人的调节作用在收入分布底部最为显著(即加入工会的收入者中处于第10百分位的人因高新冠疫情暴露获得12.3%的风险溢价,而处于第90百分位的人仅获得2%)。

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Evidence that coronavirus superspreading is fat-tailed.有证据表明冠状病毒超级传播是呈长尾分布的。
Proc Natl Acad Sci U S A. 2020 Nov 24;117(47):29416-29418. doi: 10.1073/pnas.2018490117. Epub 2020 Nov 2.

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