Patrick Carey, J. Groen, Bradley A. Jensen, Anne E. Polivka, Thomas J. Krolik
During the coronavirus disease 2019 pandemic in the United States, claims for unemployment insurance (UI) benefits rose sharply because of the substantial job loss and the expansion of UI programs. To improve upon UI administrative data, in this article, we use the Household Pulse Survey to estimate the number of people who applied for UI benefits, the number of people who received benefits, and the success rate of UI applicants (the share of applicants who received benefits) during the first 9 months of the pandemic. We examine differences by demographic group, educational attainment, and prepandemic household income. In addition, we relate state-level estimates to UI recipiency before the pandemic, job loss during the pandemic, and the differential spread of the coronavirus across states. Compared with individuals who applied for UI benefits but did not receive them, we find that individuals who received benefits had greater well-being in a variety of domains, including household finances, food security, and mental health.
{"title":"Applying for and receiving unemployment insurance benefits during the coronavirus pandemic","authors":"Patrick Carey, J. Groen, Bradley A. Jensen, Anne E. Polivka, Thomas J. Krolik","doi":"10.21916/mlr.2021.19","DOIUrl":"https://doi.org/10.21916/mlr.2021.19","url":null,"abstract":"During the coronavirus disease 2019 pandemic in the United States, claims for unemployment insurance (UI) benefits rose sharply because of the substantial job loss and the expansion of UI programs. To improve upon UI administrative data, in this article, we use the Household Pulse Survey to estimate the number of people who applied for UI benefits, the number of people who received benefits, and the success rate of UI applicants (the share of applicants who received benefits) during the first 9 months of the pandemic. We examine differences by demographic group, educational attainment, and prepandemic household income. In addition, we relate state-level estimates to UI recipiency before the pandemic, job loss during the pandemic, and the differential spread of the coronavirus across states. Compared with individuals who applied for UI benefits but did not receive them, we find that individuals who received benefits had greater well-being in a variety of domains, including household finances, food security, and mental health.","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46253289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Because of differences in data collection purposes and practices, combining data from different federal statistical programs that use the Standard Occupational Classification system can be complicated. This article addresses this problem by presenting a method for mapping occupational data from the U.S. Bureau of Labor Statistics Employment Projections program and the U.S. Department of Labor Occupational Information Network.
{"title":"Mapping Employment Projections and O*NET data: a methodological overview","authors":"Amy Hopson","doi":"10.21916/mlr.2021.18","DOIUrl":"https://doi.org/10.21916/mlr.2021.18","url":null,"abstract":"Because of differences in data collection purposes and practices, combining data from different federal statistical programs that use the Standard Occupational Classification system can be complicated. This article addresses this problem by presenting a method for mapping occupational data from the U.S. Bureau of Labor Statistics Employment Projections program and the U.S. Department of Labor Occupational Information Network.","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49023368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Data from the European Working Conditions Surveys from 2005, 2010, and 2015 for 29 European countries show that the prevalence of nonstandard work schedules (evenings, nights, weekends, and rotating shifts) differs markedly across European regions with different public policies. Working nonstandard schedules also differs by education, gender, and parental status across Europe.
{"title":"Nonstandard work schedules in 29 European countries, 2005–15: differences by education, gender, and parental status","authors":"Pablo Gracia, Wen Jui-Han, Jianghong Li","doi":"10.21916/mlr.2021.17","DOIUrl":"https://doi.org/10.21916/mlr.2021.17","url":null,"abstract":"Data from the European Working Conditions Surveys from 2005, 2010, and 2015 for 29 European countries show that the prevalence of nonstandard work schedules (evenings, nights, weekends, and rotating shifts) differs markedly across European regions with different public policies. Working nonstandard schedules also differs by education, gender, and parental status across Europe.","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45432606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
U.S. manufacturing has been in decline for the last forty years, bringing real economic impact. This paper examines the Southern region experience. Variation in rate of decline and industry evolution are shown across states. The important transportation equipment manufacturing industry is explored in more detail. The overall takeaway is that manufacturing looks different across the Southeast.
{"title":"Manufacturing employment in the Southeast: examining the last 30 years","authors":"Wendy Zhang","doi":"10.21916/MLR.2021.16","DOIUrl":"https://doi.org/10.21916/MLR.2021.16","url":null,"abstract":"U.S. manufacturing has been in decline for the last forty years, bringing real economic impact. This paper examines the Southern region experience. Variation in rate of decline and industry evolution are shown across states. The important transportation equipment manufacturing industry is explored in more detail. The overall takeaway is that manufacturing looks different across the Southeast.","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47155026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COVID-19 ends longest employment expansion in CES history, causing unprecedented job losses in 2020","authors":"R. Ansell, John P. Mullins","doi":"10.21916/MLR.2021.13","DOIUrl":"https://doi.org/10.21916/MLR.2021.13","url":null,"abstract":"","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44302775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unemployment rises in 2020, as the country battles the COVID-19 pandemic","authors":"S. Smith, Roxanna Edwards, Hao C. Duong","doi":"10.21916/mlr.2021.12","DOIUrl":"https://doi.org/10.21916/mlr.2021.12","url":null,"abstract":"","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45416674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using data from the National Longitudinal Surveys of Youth 1979 and 1997, this article examines how the skill level and task content of U.S. jobs vary among workers born during the 1957–1964 and 1980–1984 periods. This article presents data on how job attributes vary by sex, race, Hispanic origin, and educational attainment as well as by performance on the Armed Forces Qualifying Test and type of occupation. It also examines the relationship between job attributes and wages.
{"title":"A look at the new job-task information in the National Longitudinal Surveys of Youth","authors":"Matthew S. Dey, M. Loewenstein, Hugette Sun","doi":"10.21916/MLR.2021.10","DOIUrl":"https://doi.org/10.21916/MLR.2021.10","url":null,"abstract":"Using data from the National Longitudinal Surveys of Youth 1979 and 1997, this article examines how the skill level and task content of U.S. jobs vary among workers born during the 1957–1964 and 1980–1984 periods. This article presents data on how job attributes vary by sex, race, Hispanic origin, and educational attainment as well as by performance on the Armed Forces Qualifying Test and type of occupation. It also examines the relationship between job attributes and wages.","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44050417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The North American Industry Classification System (NAICS) replaced the Standard Industrial Classification (SIC) system in 1997. Since the change, some analysts have expressed concerns about the elimination in NAICS of the concept of auxiliary units, which are now classified with other worksites that perform similar functions. This article examines how employment trends by broad industry groups would have differed over the past few decades if the auxiliary-unit concept had been used to estimate employment in those units as it was in the SIC system.
{"title":"Measuring industry employment, 1990–2018: a look at the auxiliary-unit concept","authors":"K. Robertson","doi":"10.21916/MLR.2021.7","DOIUrl":"https://doi.org/10.21916/MLR.2021.7","url":null,"abstract":"The North American Industry Classification System (NAICS) replaced the Standard Industrial Classification (SIC) system in 1997. Since the change, some analysts have expressed concerns about the elimination in NAICS of the concept of auxiliary units, which are now classified with other worksites that perform similar functions. This article examines how employment trends by broad industry groups would have differed over the past few decades if the auxiliary-unit concept had been used to estimate employment in those units as it was in the SIC system.","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48325280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using data from the American Time Use Survey (ATUS) and the National Longitudinal Survey of Youth 1979 (NLSY79), this article examines the patterns of caregiving during midlife of those born in the years 1957 to 1964. The two datasets examine different measures of caregiving: eldercare examined in the ATUS and care for a household member who is living with a chronic illness or a disability examined in the NLSY79. The ATUS shows that approximately 24 percent of men and women provide eldercare. The NLSY79 shows that about 7 percent of men and women care for a household member who is living with a chronic illness or a disability. For both types of care, women are more likely to provide care than men. In the ATUS, the provision of eldercare increases with education and employment. In the NLSY79, the provision of care to household members who are living with a chronic illness or a disability is negatively related to education and employment.
{"title":"Patterns of caregiving and work: evidence from two surveys","authors":"Alison Aughinbaugh, R. Woods","doi":"10.21916/MLR.2021.6","DOIUrl":"https://doi.org/10.21916/MLR.2021.6","url":null,"abstract":"Using data from the American Time Use Survey (ATUS) and the National Longitudinal Survey of Youth 1979 (NLSY79), this article examines the patterns of caregiving during midlife of those born in the years 1957 to 1964. The two datasets examine different measures of caregiving: eldercare examined in the ATUS and care for a household member who is living with a chronic illness or a disability examined in the NLSY79. The ATUS shows that approximately 24 percent of men and women provide eldercare. The NLSY79 shows that about 7 percent of men and women care for a household member who is living with a chronic illness or a disability. For both types of care, women are more likely to provide care than men. In the ATUS, the provision of eldercare increases with education and employment. In the NLSY79, the provision of care to household members who are living with a chronic illness or a disability is negatively related to education and employment.","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41957704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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