K 型复苏:利用商业和家庭调查微观数据研究 COVID-19 大流行后复苏过程中工人的不同命运。

IF 3.6 3区 经济学 Q1 ECONOMICS
Journal of Economic Inequality Pub Date : 2021-01-01 Epub Date: 2021-08-23 DOI:10.1007/s10888-021-09506-6
Michael Dalton, Jeffrey A Groen, Mark A Loewenstein, David S Piccone, Anne E Polivka
{"title":"K 型复苏:利用商业和家庭调查微观数据研究 COVID-19 大流行后复苏过程中工人的不同命运。","authors":"Michael Dalton, Jeffrey A Groen, Mark A Loewenstein, David S Piccone, Anne E Polivka","doi":"10.1007/s10888-021-09506-6","DOIUrl":null,"url":null,"abstract":"<p><p>This paper examines employment patterns by wage group over the course of the coronavirus pandemic in the United States using microdata from two well-known data sources from the U.S. Bureau of Labor Statistics: the Current Employment Statistics and the Current Population Survey. We find establishments paying the lowest average wages and the lowest wage workers had the steepest decline in employment and experienced the most persistent losses. We disentangle the extent to which the effect observed for low wage workers is due to these workers being concentrated within a few low wage sectors of the economy versus the pandemic affecting low wage workers in a number of sectors across the economy. Our results indicate that the experience of low wage workers is not entirely due to these workers being concentrated in low wage sectors - for many sectors, the lowest wage quintiles in that sector also has had the worst employment outcomes. From April 2020 to May 2021, between 23% and 46% of the decline in employment among the lowest wage establishments was due to within-industry changes. Another important finding is that even for those who remain employed during the pandemic, the probability of becoming part-time for economic reasons increased, especially for low-wage workers.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s10888-021-09506-6.</p>","PeriodicalId":51559,"journal":{"name":"Journal of Economic Inequality","volume":"19 3","pages":"527-550"},"PeriodicalIF":3.6000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382096/pdf/","citationCount":"0","resultStr":"{\"title\":\"The K-Shaped Recovery: Examining the Diverging Fortunes of Workers in the Recovery from the COVID-19 Pandemic Using Business and Household Survey Microdata.\",\"authors\":\"Michael Dalton, Jeffrey A Groen, Mark A Loewenstein, David S Piccone, Anne E Polivka\",\"doi\":\"10.1007/s10888-021-09506-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This paper examines employment patterns by wage group over the course of the coronavirus pandemic in the United States using microdata from two well-known data sources from the U.S. Bureau of Labor Statistics: the Current Employment Statistics and the Current Population Survey. We find establishments paying the lowest average wages and the lowest wage workers had the steepest decline in employment and experienced the most persistent losses. We disentangle the extent to which the effect observed for low wage workers is due to these workers being concentrated within a few low wage sectors of the economy versus the pandemic affecting low wage workers in a number of sectors across the economy. Our results indicate that the experience of low wage workers is not entirely due to these workers being concentrated in low wage sectors - for many sectors, the lowest wage quintiles in that sector also has had the worst employment outcomes. From April 2020 to May 2021, between 23% and 46% of the decline in employment among the lowest wage establishments was due to within-industry changes. Another important finding is that even for those who remain employed during the pandemic, the probability of becoming part-time for economic reasons increased, especially for low-wage workers.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s10888-021-09506-6.</p>\",\"PeriodicalId\":51559,\"journal\":{\"name\":\"Journal of Economic Inequality\",\"volume\":\"19 3\",\"pages\":\"527-550\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382096/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economic Inequality\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1007/s10888-021-09506-6\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/8/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Inequality","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s10888-021-09506-6","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/8/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

本文利用美国劳工统计局的两个著名数据源:《当前就业统计》和《当前人口调查》中的微观数据,研究了冠状病毒大流行期间美国按工资组别划分的就业模式。我们发现,平均工资最低的企业和工资最低的工人的就业率下降幅度最大,经历的损失也最持久。我们区分了低薪工人受到的影响是由于这些工人集中在少数几个低薪经济部门,还是由于大流行病影响了整个经济中多个部门的低薪工人。我们的研究结果表明,低薪工人的遭遇并不完全是因为这些工人集中在低薪行业--在许多行业中,该行业中工资最低的五分之一工人的就业结果也是最差的。从 2020 年 4 月到 2021 年 5 月,最低工资单位就业人数下降的 23% 到 46% 是由于行业内部变化造成的。另一个重要发现是,即使是那些在大流行病期间仍然就业的人,由于经济原因成为兼职的概率也增加了,特别是对于低工资工人来说:在线版本包含补充材料,可查阅 10.1007/s10888-021-09506-6。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The K-Shaped Recovery: Examining the Diverging Fortunes of Workers in the Recovery from the COVID-19 Pandemic Using Business and Household Survey Microdata.

This paper examines employment patterns by wage group over the course of the coronavirus pandemic in the United States using microdata from two well-known data sources from the U.S. Bureau of Labor Statistics: the Current Employment Statistics and the Current Population Survey. We find establishments paying the lowest average wages and the lowest wage workers had the steepest decline in employment and experienced the most persistent losses. We disentangle the extent to which the effect observed for low wage workers is due to these workers being concentrated within a few low wage sectors of the economy versus the pandemic affecting low wage workers in a number of sectors across the economy. Our results indicate that the experience of low wage workers is not entirely due to these workers being concentrated in low wage sectors - for many sectors, the lowest wage quintiles in that sector also has had the worst employment outcomes. From April 2020 to May 2021, between 23% and 46% of the decline in employment among the lowest wage establishments was due to within-industry changes. Another important finding is that even for those who remain employed during the pandemic, the probability of becoming part-time for economic reasons increased, especially for low-wage workers.

Supplementary information: The online version contains supplementary material available at 10.1007/s10888-021-09506-6.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.60
自引率
8.30%
发文量
39
期刊介绍: The Journal of Economic Inequality provides a forum for analysis of ''economic inequality'', broadly defined. Its scope includes: ·         Theoretical and empirical analysis·         Monetary measures of ''well-being'' such as earnings, income, consumption, and wealth; non-monetary measures such as educational achievement and health and health care; multidimensional measures·         Inequality and poverty within and between countries, and globally, and their trends over time·         Inequalities of opportunity·         Income mobility and poverty persistence·         The factor distribution of income·         Differences in ''well-being'' between socioeconomic groups, for example between men and women, generations, or ethnic groups·         The effects of inequality on macroeconomic and other phenomena, and vice versa·         Related statistical methods and data issues ·         Related policy analysis  Papers need to prioritize the ''economic inequality'' dimension. For example, papers about trade and inequality, or inequality and growth, should not primarily be about trade or growth (in which case they should target a different journal). The same is true for papers considering the inter-relationships between the income distribution and the labour market, public policy, or demography.  Officially cited as: J Econ Inequal
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信