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Effects of Job Quality in the Service Sector on Health-Related Outcomes Across the Life Course

服务部门工作质量对整个生命周期健康相关结果的影响

基本信息

批准号：
10392853
负责人：
KRISTEN HARKNETT
金额：
$ 70.2万
依托单位：
HARVARD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-04-15 至 2025-12-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10392853
关键词：
Advertisements Advertising Affect Age American Americas Area Automation Buffers Cities Conflict (Psychology)Country Cross-Sectional Studies Data Data Collection Data Set Data Sources Dimensions Economic Conditions Economic Policy Economics Employee Exposure to Facebook Family Fringe Benefit Future Health Health behavior Individual Knowledge Laws Life Life Cycle Stages Link Longitudinal Surveys Measures Mediation Mental Health Methods Modeling Natural experiment Occupations Outcome Personal Satisfaction Policies Policy Maker Policy Making Population Research Research Personnel Role Sampling Schedule Services Shapes Signal Transduction Social Work Social support Speed Sum Surveys Target Populations Testing Time Uncertainty Variant Wages Woman Work Workplace caregiving cost deprivation design evidence base expectation fast food healthy aging innovation insight large scale data negative affect new technology novel novel strategies physical conditioning population health recruit safety net social social relationships

项目摘要

PROJECT SUMMARY/ABSTRACT The U.S. service sector employs 27 million workers, 20% of the U.S. workforce. Abetted by new technologies, employers in the service sector have embraced surveillance and sanctioning, which affect time and pace of tasks on the job, unpredictable and constrained scheduling practices, which affect the organization of time on and off work, and automation, which shapes longer-term expectations for the future and job insecurity. We refer to these working conditions, collectively, as temporal dimensions of job quality to draw a contrast with purely economic dimensions of job quality. Although prior research has established a robust relationship between other aspects of job conditions and health, there is a gap in knowledge about how these new and increasingly prevalent workplace practices affect worker health and healthy aging. One important reason for this gap is a lack of suitable existing data containing information on both these emergent workplace practices and workers’ health outcomes, yet policy makers have already begun to take action to regulate these practices. There is thus a critical need to collect new data that will allow researchers to estimate the health effects of exposure to these temporal dimensions of job quality for workers across the life course. The proposed research expands upon an innovative method for collecting survey data at scale, at low-cost, and with speed from a target population of service-sector workers. We use the Facebook advertising platform to purchase and place survey recruitment advertisements in the mobile and desktop newsfeeds of Facebook and Instagram users, targeting those who work in retail and fast food. This approach allows us to target users with particular employers and/or in specific localities. We propose to collect repeated cross-sectional and longitudinal survey data from 90,000 workers across the country. The proposed research uses these data and methods to accomplish three aims. First, we estimate the relationship between emergent temporal dimensions of job quality and worker health and healthy aging. The data collection is designed to capitalize on natural experiments to provide rigorous evidence on the health effects of temporally precarious work. One set of analyses will exploit city and company policy changes to use rigorous difference-in-differences and instrumental variable methods to estimate causal effects of job quality on health. Second, we assess whether the health consequences of surveillance and sanctioning, schedule unpredictability and constraint, and automation vary across the life course. Finally, we will assess the social and public supports that may buffer and mitigate the harmful health effects of these temporal dimensions of job quality. In sum, we deploy an innovative data collection approach combined with rigorous estimation to take advantage of natural experiments implemented when labor laws or company practices change. The significant contributions of our project entail testing how new dimensions of job quality affect health, estimating differential vulnerabilities across the life course, and gauging the importance of protective supports and policies. Collectively, this research provides key missing evidence on health impacts of job quality.

项目总结/文摘