当前位置: X-MOL 学术American Behavioral Scientist › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Derailed by the COVID-19 Economy? An Intersectional and Life Course Analysis of Older Adults’ Shifting Work Attachments
American Behavioral Scientist ( IF 2.3 ) Pub Date : 2022-06-06 , DOI: 10.1177/00027642211066061
Phyllis Moen 1 , Joseph H. Pedtke 1 , Sarah Flood 1
Affiliation  

This paper addresses the uneven employment effects on older Americans (aged 50–75) of the COVID-19 pandemic. Drawing on monthly Current Population Survey data from January through December 2020, we take an intersectional and life course approach to study the labor market effects of COVID-19 on older Americans. First, we chart monthly labor force states throughout 2020 for older adult subgroups defined by age, gender, and race/ethnicity. We then examine transitions out of and into work from one month to the next. We find gendered age-graded declines in employment, increases in unemployment, and increases in the proportions of people in their 50s reporting they are not in the labor force for other reasons (NILF-other), most dramatically for Asian and Hispanic women. There is little change in age-graded retirement from before to during the pandemic, regardless of gender or race/ethnicity, though there are education-level effects, with those without a college degree more likely to retire in the face of COVID-19. White men with a college degree are the most apt to retain their work engagement.



中文翻译:

因 COVID-19 经济而出轨?老年人轮班工作依恋的交叉与人生历程分析

本文讨论了 COVID-19 大流行对美国老年人(50-75 岁)的就业不均衡影响。利用从 2020 年 1 月到 2020 年 12 月的月度当前人口调查数据,我们采用交叉和生命历程的方法来研究 COVID-19 对美国老年人的劳动力市场影响。首先,我们绘制了按年龄、性别和种族/民族定义的老年人亚组在整个 2020 年的月度劳动力状态。然后,我们检查从一个月到下一个月的工作过渡。我们发现按性别划分的就业率下降,失业率上升,以及 50 多岁的人报告由于其他原因(NILF-其他)而没有加入劳动力大军的比例增加,其中亚裔和西班牙裔女性最为显着。从大流行之前到大流行期间,年龄分级退休几乎没有变化,无论性别或种族/民族如何,尽管存在教育水平的影响,但那些没有大学学位的人更有可能在面对 COVID-19 时退休。拥有大学学位的白人男性最容易保持工作投入。

更新日期:2022-06-06
down
wechat
bug