Can't Catch a Break: Intersectional Inequalities at Work.

The labor market is the site of longstanding and persistent inequalities across race and gender groups in hiring, compensation, and advancement. In this paper, we draw on data from 13,574 hourly service-sector workers to extend the study of intersectional labor market inequalities to workers' experience on the job. In the service sector, where workers are regularly expected to be on their feet for long hours and to contend with workloads that are intense and unrelenting, regular break time is an essential component of job quality and general well-being. Yet, we find that Black women are less likely than their counterparts to get a break during their work shift. Although union membership and laws mandating work breaks are effective in increasing access to breaks for workers overall, they do not ameliorate the inequality Black women face in access to work breaks within the service sector. A sobering implication is that worker power and labor protections can raise the floor on working conditions but leave inequalities intact. Our findings also have implications for racial health inequalities, as the routine daily stress of service sector takes a disproportionate toll on the health of Black women.

Effects of a liquefied petroleum gas stove intervention on stillbirth, congenital anomalies and neonatal mortality: A multi-country household air pollution intervention network trial.

Household air pollution (HAP) from cooking with solid fuels used during pregnancy has been associated with adverse pregnancy outcomes. The Household Air Pollution Intervention Network (HAPIN) trial was a randomized controlled trial that assessed the impact of a liquefied petroleum gas (LPG) stove and fuel intervention on health in Guatemala, India, Peru, and Rwanda. Here we investigated the effects of the LPG stove and fuel intervention on stillbirth, congenital anomalies and neonatal mortality and characterized exposure-response relationships between personal exposures to fine particulate matter (PM2.5), black carbon (BC) and carbon monoxide (CO) and these outcomes. Pregnant women (18 to <35 years of age; gestation confirmed by ultrasound at 9 to <20 weeks) were randomly assigned to intervention or control arms. We monitored these fetal and neonatal outcomes and personal exposure to PM2.5, BC and CO three times during pregnancy, we conducted intention-to-treat (ITT) and exposure-response (E-R) analyses to determine if the HAPIN intervention and corresponding HAP exposure was associated with the risk of fetal/neonatal outcomes. A total of 3200 women (mean age 25.4 ± 4.4 years, mean gestational age at randomization 15.4 ± 3.1 weeks) were included in this analysis. Relative risks for stillbirth, congenital anomaly and neonatal mortality were 0.99 (0.60, 1.66), 0.92 (95 % CI 0.52, 1.61), and 0.99 (0.54, 1.85), respectively, among women in the intervention arm compared to controls in an ITT analysis. Higher mean personal exposures to PM2.5, CO and BC during pregnancy were associated with a higher, but statistically non-significant, incidence of adverse outcomes. The LPG stove and fuel intervention did not reduce the risk of these outcomes nor did we find evidence supporting an association between personal exposures to HAP and stillbirth, congenital anomalies and neonatal mortality.

The Gender Wage Gap, Between-Firm Inequality, and Devaluation: Testing a New Hypothesis in the Service Sector.

Unequal sorting of men and women into higher and lower wage firms contributes significantly to the gender wage gap according to recent analysis of national labor markets. We confirm the importance of this between-firm gender segregation in wages and examine a second outcome of hours using unique employer-employee data from the service sector. We then examine what explains the relationship between firm gender composition and wages. In contrast to prevailing economic explanations that trace between-firm differences in wages to differences in firm surplus, we find evidence consistent with devaluation and potentially a gender-specific use of "low road" employment strategies.

Effects of a LPG stove and fuel intervention on adverse maternal outcomes: A multi-country randomized controlled trial conducted by the Household Air Pollution Intervention Network (HAPIN).

Household air pollution from solid cooking fuel use during gestation has been associated with adverse pregnancy and birth outcomes. The Household Air Pollution Intervention Network (HAPIN) trial was a randomized controlled trial of free liquefied petroleum gas (LPG) stoves and fuel in Guatemala, Peru, India, and Rwanda. A primary outcome of the main trial was to report the effects of the intervention on infant birth weight. Here we evaluate the effects of a LPG stove and fuel intervention during pregnancy on spontaneous abortion, postpartum hemorrhage, hypertensive disorders of pregnancy, and maternal mortality compared to women who continued to use solid cooking fuels. Pregnant women (18-34 years of age; gestation confirmed by ultrasound at 9-19 weeks) were randomly assigned to an intervention (n = 1593) or control (n = 1607) arm. Intention-to-treat analyses compared outcomes between the two arms using log-binomial models. Among the 3195 pregnant women in the study, there were 10 spontaneous abortions (7 intervention, 3 control), 93 hypertensive disorders of pregnancy (47 intervention, 46 control), 11 post postpartum hemorrhage (5 intervention, 6 control) and 4 maternal deaths (3 intervention, 1 control). Compared to the control arm, the relative risk of spontaneous abortion among women randomized to the intervention was 2.32 (95% confidence interval (CI): 0.60, 8.96), hypertensive disorders of pregnancy 1.02 (95% CI: 0.68, 1.52), postpartum hemorrhage 0.83 (95% CI: 0.25, 2.71) and 2.98 (95% CI: 0.31, 28.66) for maternal mortality. In this study, we found that adverse maternal outcomes did not differ based on randomized stove type across four country research sites.

The Politics of Prevention: Polarization in How Workplace COVID-19 Safety Practices Shaped the Well-Being of Frontline Service Sector Workers.

The COVID-19 pandemic dramatically reshaped the labor market, especially for service sector workers. Frontline service sector workers, already coping with precarious working conditions, faced proximate risks of COVID-19 transmission on the job and navigated new workplace safety measures, including masking, social distancing, and staying home while sick, all in a polarized political environment. We examine polarization in the effects of COVID-19 workplace safety measures on workers' feelings of safety and well-being. Specifically, we examine how support for former President Trump moderates the relationship between COVID-19 safety practices (masking, social distancing, staying home while sick) and workers' feelings of safety and well-being. To do so, we draw on novel data collected by The Shift Project from 2,039 service sector workers at 89 large firms during the COVID-19 pandemic. We find that workplace safety measures are positively associated with workers' self-assessments of feeling safe and with mental health, but only for Biden voters.

Mandates Narrow Gender Gaps In Paid Sick Leave Coverage For Low-Wage Workers In The US.

Paid sick leave helps workers recover from illness and manage care obligations and protects public health. Yet access to paid sick leave remains limited and unequal in the United States. Drawing on surveys of 61,223 service-sector workers collected during the period 2017-21 by the Shift Project, we documented limited access to paid sick leave and stark gender inequality, with women less likely than men to have paid sick leave. Part-time employment and gender segregation by industry subsector each explain part, but not all, of the gender disparity. However, in states and localities that mandate paid sick leave for workers, workers are far more likely to report access to this benefit, and the gender gap is eliminated. Guaranteeing paid sick leave to all workers would offer a range of benefits for workers, employers, and public health while also offering the further benefit of reducing gender inequality.

Maternal exposure to work schedule unpredictability and child behavior.

Objective: This article estimates the association between maternal exposure to unpredictable work schedules in the service sector and child internalizing and externalizing behavior. Background: Precarious work is widespread and characterized by low wages, few benefits, and nonstandard schedules. But working parents, especially in the service sector, contend with unpredictable work schedules as well. These schedules have negative consequences for workers, but may also perpetuate inequality across generations by negatively affecting children. Method: This article takes advantage of novel survey data from The Shift Project, covering 2,613 mothers (surveyed 2017-2019) working in the service sector with children (mean child age of 7.5), to examine the association between maternal work schedules and child behavior as well as the mediators of this relationship. Results: Maternal exposure to unpredictable work schedules is associated with children's externalizing and internalizing behavior. Mediation analysis shows that for parents with the most unpredictable schedules, this aspect of job quality operates on children's behavior by increasing household economic insecurity, reducing developmental parenting time, and diminishing maternal well-being. Conclusion: These results demonstrate that work scheduling conditions may have consequences not just for workers themselves but also for their children.

Older Workers With Unpredictable Schedules: Implications for Well-Being and Job Retention.

BACKGROUND AND OBJECTIVES: A substantial portion of the service sector workforce is middle-aged or older, but little is known about the scheduling conditions of these older workers. This study describes the quality of work schedules in the service sector by age and tests associations of unpredictable schedules with well-being and job retention among workers ages 50-80. RESEARCH DESIGN AND METHODS: The Shift Project collected survey data on detailed working conditions and health from 121,408 service sector workers, recruited in 2017-2020 using social media advertisements. Survey weights aligned sample demographics with the American Community Survey, and multiple imputation addressed missingness. Ordinary least squares regression models were used to examine associations between age and schedule stability, and ordinary least squares, ordinal logit, and logit regression models tested associations between schedule stability and well-being and job retention outcomes for older workers. RESULTS: Scheduling conditions were more stable and predictable for older compared to younger workers; however, more than 80% of workers ages 50-80 experienced one or more types of routine schedule instability. Among workers ages 50-80, unpredictable schedules were associated with psychological distress, poor-quality sleep, work-family conflict, economic insecurity, job dissatisfaction, and intentions to look for a new job. Canceled and back-to-back closing and opening ("clopening") shifts were most strongly associated with negative outcomes. DISCUSSION AND IMPLICATIONS: Policies aimed at improving scheduling conditions hold promise to benefit older service workers' well-being. As the population ages, improving work schedules in the years approaching retirement may be important to longer working lives.

Who Cares if Parents have Unpredictable Work Schedules?: The Association between Just-in-Time Work Schedules and Child Care Arrangements.

Working parents must arrange some type of care for their young children when they are away at work. For parents with unstable and unpredictable work schedules, the logistics of arranging care can be complex. In this paper, we use survey data from the Shift Project, collected in 2017 and 2018 from a sample of 3,653 parents who balance work in the retail and food service sector with parenting young children 0 to 9 years of age. Our results demonstrate that unstable and unpredictable work schedules have consequences for children's care arrangements. We find that parents' exposure to on-call work and last-minute shift changes are associated with more numerous care arrangements, with a reliance on informal care arrangements, with the use of siblings to provide care, and with young children being left alone without adult supervision. Given the well-established relationship between quality of care in the early years and child development, just-in-time scheduling practices are likely to have consequences for child development and safety and to contribute to the intergenerational transmission of disadvantage.

Parenting without Predictability: Precarious Schedules, Parental Strain, and Work-Life Conflict.

Against the backdrop of dramatic changes in work and family life, this paper draws on survey data from 2,971 mothers working in the service sector to examine how unpredictable schedules are associated with three dimensions of parenting: difficulty arranging childcare, work-life conflict, and parenting stress. Results demonstrate that on-call shifts, shift timing changes, work hour volatility, and short advance notice of work schedules are positively associated with difficulty arranging childcare and work-life conflict. We also find that mothers working these schedules are more likely to miss work. Finally, we consider how family structure and race moderate the relationship between schedule instability and these dimensions of parenting. Ultimately, we argue that unstable work schedules have important consequences for mothers working in the service industry.

UNCERTAIN TIME: PRECARIOUS SCHEDULES AND JOB TURNOVER IN THE US SERVICE SECTOR.

The authors develop a model of cumulative disadvantage relating three axes of disadvantage for hourly workers in the US retail and food service sectors: schedule instability, turnover, and earnings. In this model, exposure to unstable work schedules disrupts workers' family and economic lives, straining the employment relation and increasing the likelihood of turnover, which can then lead to earnings losses. Drawing on new panel data from 1,827 hourly workers in retail and food service collected as part of the Shift Project, the authors demonstrate that exposure to schedule instability is a strong, robust predictor of turnover for workers with relatively unstable schedules (about one-third of the sample). Slightly less than half of this relationship is mediated by job satisfaction and another quarter by work-family conflict. Job turnover is generally associated with earnings losses due to unemployment, but workers leaving jobs with moderately unstable schedules experience earnings growth upon re-employment.

What's to Like? Facebook as a Tool for Survey Data Collection.

In this paper, we explore the use of Facebook targeted advertisements for the collection of survey data. We illustrate the potential of survey sampling and recruitment on Facebook through the example of building a large employee-employer linked dataset as part of The Shift Project. We describe the workflow process of targeting, creating, and purchasing survey recruitment advertisements on Facebook. We address concerns about sample selectivity, and apply post-stratification weighting techniques to adjust for differences between our sample and that of "gold-standard" data sources. We then compare univariate and multi-variate relationships in the Shift data against the Current Population Survey and the National Longitudinal Survey of Youth-1997. Finally, we provide an example of the utility of the firm-level nature of the data by showing how firm-level gender composition is related to wages. We conclude by discussing some important remaining limitations of the Facebook approach, as well as highlighting some unique strengths of the Facebook targeting advertisement approach, including the ability for rapid data collection in response to research opportunities, rich and flexible sample targeting capabilities, and low cost, and we suggest broader applications of this technique.

Adverse birth outcomes associated with household air pollution from unclean cooking fuels in low- and middle-income countries: A systematic review.

Approximately 3.8 billion people in low- and middle-income countries use unclean fuels as a source of primary cooking fuel as well as for heating. For pregnant women, the toxic chemicals produced by combustion of unclean fuels not only affect women's health directly, but particulate matter and carbon monoxide are absorbed in maternal blood and cross the placental barrier impairing fetal tissue growth. PRISMA 2009 guidelines were used for this systematic review. The inclusion criteria were quantitative, peer reviewed journal articles published within a date range of May 1, 2013-June 12, 2021 examining birth outcomes related to household air pollution from type of cooking fuel in low- and middle-income countries. The quality of available evidence was evaluated using the Office of Health Assessment and Translation (OHAT) risk of bias rating tool. Of the 553 studies screened, 23 satisfied the inclusion criteria. Of the studies that met the inclusion criteria, 14 were cross-sectional, 5 cohort, 1 case-control and 3 randomized control trials conducted across 15 different countries. A range of birth outcomes are reported across studies including birthweight (19), small for gestational age (6), spontaneous abortion (3), preterm birth (6), stillbirth (7) and neonatal mortality (6). The reviewed studies presented evidence for an increased risk of low birth weight (LBW), preterm birth (PTB), small for gestational age (SGA), stillbirth, neonatal mortality and reduction in birthweight with solid fuel and kerosene use compared to cleaner fuels like gas and LPG. Systematically reviewing the evidence and risk of bias ratings illuminated several gaps in the current literature related to exposure assessment, outcome measurement and adequacy of adjustment for confounding.

Improving health and economic security by reducing work schedule uncertainty.

Work schedules in the service sector are routinely unstable and unpredictable, and this unpredictability may have harmful effects on health and economic insecurity. However, because schedule unpredictability often coincides with low wages and other dimensions of poor job quality, the causal effects of unpredictable work schedules are uncertain. Seattle's Secure Scheduling ordinance, enacted in 2017, mandated greater schedule predictability, providing an opportunity to examine the causal relationship between work scheduling and worker health and economic security. We draw on pre- and postintervention survey data from workers in Seattle and comparison cities to estimate the impacts of this law using a difference-in-differences approach. We find that the law had positive impacts on workers' schedule predictability and stability and led to increases in workers' subjective well-being, sleep quality, and economic security. Using the Seattle law as an instrumental variable, we also estimate causal effects of schedule predictability on well-being outcomes. We show that uncertainty about work time has a substantial effect on workers' well-being, particularly their sleep quality and economic security.

Olive Garden's Expansion Of Paid Sick Leave During COVID-19 Reduced The Share Of Employees Working While Sick.

The COVID-19 pandemic has focused public and policy attention on the acute lack of paid sick leave for service-sector workers in the United States. The lack of paid sick leave is potentially a threat not only to workers' well-being but also to public health. However, the literature on the effects of paid sick leave in the US is surprisingly limited, in large part because instances of paid sick leave expansion are relatively uncommon. We exploit the fact that large firms in the US were not required to expand paid sick leave during the COVID-19 pandemic but that one casual dining restaurant in particular, Olive Garden, faced intense public pressure to do so. We drew on data collected from 2017 through fall 2020 from 10,306 food service-sector workers in the US by the Shift Project, which include employer identifiers. Using a difference-in-differences design, we found strong evidence of an increase in paid sick leave coverage among Olive Garden workers, as well as evidence that this expansion reduced the incidence of working while sick among front-line food service workers.

Hard Times: Routine Schedule Unpredictability and Material Hardship among Service Sector Workers.

American policymakers have long focused on work as a key means to improve economic wellbeing. Yet, work has become increasingly precarious and polarized. This precarity is manifest in low wages, but also in unstable and unpredictable work schedules that often vary significantly week-to-week with little advance notice. We draw on new survey data from The Shift Project on 37,263 hourly retail and food service workers in the United States. We assess the association between routine unpredictability in work schedules and household material hardship. Using both cross-sectional models and panel models, we find that workers who receive shorter advanced notice, those who work on-call, those who experience last minute shift cancellation and timing changes, and those with more volatile work hours are more likely to experience hunger, residential, medical, and utility hardships as well as more overall hardship. Just-in-time work schedules afford employers a great deal of flexibility, but at a heavy cost to workers' economic security.

Losing sleep over work scheduling? The relationship between work schedules and sleep quality for service sector workers.

In the retail and food service sectors, work schedules change from day-to-day and week-to-week, often with little advance notice, posing a potential impediment to healthy sleep patterns. In this article, we use data from the Shift Project collected in 2018 and 2019 for a sample of over 16,000 hourly workers employed in the service sector to examine relationships between unstable and unpredictable work schedules and sleep quality. We extend prior research on shift work and sleep disruption, which has often focused on the health care sector, to the retail and food service sector, which comprises nearly 20 percent of jobs in the U.S. We find that the unstable and unpredictable schedules that are typical in the service sector are associated with poor sleep quality, difficulty falling asleep, waking during sleep, and waking up feeling tired. As a benchmark, we compare unstable and unpredictable work schedules with two well-known predictors of sleep quality - having a young child and working the night shift. The strength of the associations between most types of unstable and unpredictable work schedules and sleep quality are stronger than those of having a pre-school aged child or working a regular night shift. Chronic uncertainty about the timing of work shifts appears to have a pernicious influence on sleep quality, and, given its prevalence for low-wage workers, potentially contributes to stark health inequalities by socioeconomic status.

What Explains Racial/Ethnic Inequality in Job Quality in the Service Sector?

Precarious work in the United States is defined by both economic and temporal dimensions. While a large literature documents the extent of low-wages and limited fringe benefits, research has only recently examined the prevalence and consequences of unstable and unpredictable work schedules. Yet, it appears that such practices as on-call shifts, last minute cancellations, and insufficient work hours are common in the retail and food service sectors. While little research has examined racial/ethnic inequality in this temporal dimension of job quality, precarious scheduling practices may be a significant, if mostly hidden, site for racial/ethnic inequality because scheduling practices differ significantly between firms and because front-line managers have substantial discretion in scheduling. We draw on innovative matched employer-employee data from The Shift Project to estimate racial/ethnic gaps in these temporal dimensions of job quality and examine the contribution of firm-level sorting and intra-organizational dynamics to these gaps. We find significant racial/ethnic gaps in exposure to precarious scheduling that disadvantage non-White workers. We provide novel evidence that both firm segregation and racial discordance between workers and managers play significant roles in explaining racial/ethnic gaps in job quality. Notably, we find that racial/ethnic gaps are larger for women than for men.

Job Quality and the Educational Gradient in Entry Into Marriage and Cohabitation.

Men's and women's economic resources are important determinants of marriage timing. Prior demographic and sociological literature has often measured resources in narrow terms, considering employment and earnings and not more fine-grained measures of job quality. Yet, scholarship on work and inequality focuses squarely on declining job quality and rising precarity in employment and suggests that this transformation may matter for the life course. Addressing the disconnect between these two important areas of research, this study analyzes data on the 1980-1984 U.S. birth cohort from the National Longitudinal Survey of Youth 1997 to examine the relationships between men's and women's job quality and their entry into marital or cohabiting unions. We advance existing literature by moving beyond basic measures of employment and earnings and investigating how detailed measures of job quality matter for union formation. We find that men and women in less precarious jobs-both jobs with standard work schedules and those that provide fringe benefits-are more likely to marry. Further, differences in job quality explain a significant portion of the educational gradient in entry into first marriage. However, these dimensions of job quality are not predictive of cohabitation.

Consequences of Routine Work-Schedule Instability for Worker Health and Well-Being.

Research on precarious work and its consequences overwhelmingly focuses on the economic dimension of precarity, epitomized by low wages. But the rise in precarious work also involves a major shift in its temporal dimension, such that many workers now experience routine instability in their work schedules. This temporal instability represents a fundamental and under-appreciated manifestation of the risk shift from firms to workers. A lack of suitable existing data, however, has precluded investigation of how precarious scheduling practices affect workers' health and well-being. We use an innovative approach to collect survey data from a large and strategically selected segment of the U.S. workforce: hourly workers in the service sector. These data reveal that exposure to routine instability in work schedules is associated with psychological distress, poor sleep quality, and unhappiness. Low wages are also associated with these outcomes, but unstable and unpredictable schedules are much more strongly associated. Precarious schedules affect worker well-being in part through the mediating influence of household economic insecurity, yet a much larger proportion of the association is driven by work-life conflict. The temporal dimension of work is central to the experience of precarity and an important social determinant of well-being.