Ethnicity and health at work during the COVID-19

IF 3.5 2区 经济学 Q1 ECONOMICS
Joan Madia , Francesco Moscone , Catia Nicodemo
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引用次数: 0

Abstract

This paper explores how health-work-related illnesses and injuries have changed during the COVID-19 pandemic for different ethnic groups and by gender. We find that not all groups were affected in the same way. While almost all men in all ethnic groups were on average less likely to work during the pandemic period, women were more likely to work. We also find that Mixed Ethnic and Pakistani women who reported a higher probability of working in the reference week had a higher risk of illness/injuries at work. Meanwhile, White men and Other ethnic groups with a reduced probability of working during the pandemic had a lower risk of illness/injuries at work. Long-term illness varied by ethnicity and gender, with men experiencing a reduction and women an increase in physical and mental health issues. This research provides valuable insights into the multifaceted impact of the COVID-19 pandemic on the health and work patterns of different ethnic groups and gender. Understanding and identifying these disparities is crucial for formulating targeted policies aimed at mitigating adverse effects and promoting equitable outcomes in regional studies and urban economics.
2019冠状病毒病期间工作中的种族和健康状况
本文探讨了在COVID-19大流行期间,不同种族和性别的健康相关疾病和伤害的变化情况。我们发现并不是所有的群体都以同样的方式受到影响。在大流行期间,几乎所有族裔群体的所有男子平均都不太可能工作,而妇女则更有可能工作。我们还发现,混血儿和巴基斯坦裔女性在参考周工作的可能性更高,她们在工作中患病/受伤的风险更高。与此同时,在疫情期间工作的可能性较低的白人男性和其他种族群体在工作中患病/受伤的风险较低。长期疾病因种族和性别而异,男性的身体和心理健康问题减少,而女性则增加。这项研究为了解COVID-19大流行对不同族裔和性别的健康和工作模式的多方面影响提供了宝贵见解。了解和识别这些差异对于制定有针对性的政策至关重要,这些政策旨在减轻区域研究和城市经济学中的不利影响并促进公平的结果。
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
CiteScore
5.30
自引率
9.70%
发文量
63
期刊介绍: Regional Science and Urban Economics facilitates and encourages high-quality scholarship on important issues in regional and urban economics. It publishes significant contributions that are theoretical or empirical, positive or normative. It solicits original papers with a spatial dimension that can be of interest to economists. Empirical papers studying causal mechanisms are expected to propose a convincing identification strategy.
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