Occupational social class differences in the impact of COVID-19 related employment disruptions on retirement planning amongst older workers in England

IF 0.8 Q4 GERONTOLOGY
Tatiana S. Rowson, V. Beck, M. Hyde, E. Evans
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Abstract

Purpose This paper aims to examine the impact of COVID-19 related employment disruption on individuals’ retirement planning and whether these experiences differ by occupational social class. Design/methodology/approach To explore these issues, this study linked data from those who were employed in wave 9 of the English Longitudinal Study of Ageing (ELSA) main study with wave 1 of the ELSA COVID-19 study (N = 1,797). Multinominal regression analyses were conducted to explore whether the interaction between employment disruption and occupational social class was associated with planning to retire earlier or later than previously planned. Findings The results show that stopping work because of COVID-19 is associated with planning to retire earlier. However, there were no statistically significant interactions between occupational social class and employment disruptions on whether respondents planned to retire earlier or later. Originality/value This paper’s original contribution is in showing that the pandemic has had an impact on retirement decisions. Given the known negative effects of both involuntary early labour market exit, the findings suggest that the COVID-19 related employment disruptions are likely to exacerbate social inequalities in health, well-being in later life and, consequently, can help anticipate where there will be need for additional support in later life.
COVID-19相关就业中断对英格兰老年工人退休计划影响的职业社会阶层差异
目的本文旨在研究新冠肺炎相关就业中断对个人退休计划的影响,以及这些经历是否因职业社会阶层而异。设计/方法/方法为了探讨这些问题,本研究将英国老龄化纵向研究(ELSA)主要研究第9波与ELSA新冠肺炎研究第1波(N=1797)中使用的数据联系起来。进行了多元回归分析,以探讨就业中断和职业社会阶层之间的相互作用是否与计划提前或推迟退休有关。调查结果显示,因新冠肺炎而停止工作与计划提前退休有关。然而,在受访者计划提前退休还是推迟退休的问题上,职业社会阶层和就业中断之间没有统计学上的显著互动。原创性/价值本文的原始贡献在于表明疫情对退休决策产生了影响。鉴于非自愿提前退出劳动力市场的已知负面影响,研究结果表明,与新冠肺炎相关的就业中断可能会加剧健康和晚年福祉方面的社会不平等,因此有助于预测晚年哪里需要额外支持。
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
2.30
自引率
6.70%
发文量
17
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