This project examines the source of racial and ethnic inequality among the highly educated workforce in the United States by focusing on how educational credentials translate into U.S. labor market outcomes. The racial and ethnic wage divide is the largest and has expanded the most among highly educated workers, despite the fact that people of color in the United States are registering higher educational attainment. This project seeks to shed light on that by exploring how educational credentials translate into positions in the U.S. labor market and whether there are mismatches. Specifically, the project will investigate vertical and horizontal dimensions of education-occupation mismatches. Vertical mismatch refers to a mismatch between a worker's educational credentials and the level of education required for the occupation, such as a college graduate working as a retail sales associate. Horizontal mismatch refers to a mismatch between a worker's field of study and the type of education required for the occupation, for example, an engineering major working as an accountant. Lu will incorporate a demand-based measure of mismatch using online job-posting data compiled by Burning Glass Technologies, in addition to pooling two decades of nationally representative longitudinal data from the Survey of Income and Program Participation. She will investigate which dimensions of mismatch and which processes in the employment relationship drive racial and ethnic labor market inequality by exploring initial occupational allocation, subsequent occupational trajectory, and wage consequences of mismatch. Lu also will investigate how educational stratification factors into ethnic/racial disparities by looking at degree levels, fields of study, and college quality.

Manufacturing jobs in the United States were widely considered to provide an important opportunity for less-educated workers to climb the U.S. economic ladder by offering high pay and stable careers. Research shows that the decline in manufacturing jobs since the 1970s coincided with a decline in upward mobility: Children born in the 1980s are less likely to grow up to earn as much as their parents than children born in the 1950s were, particularly in the post-industrial heartland. This project examines how increases in high-wage manufacturing work opportunity affected individual opportunity following the industrial mobilization for World War II. Garin and Rothbaum will exploit the fact that the siting of new plants was based on idiosyncratic short-run strategic considerations, leading to the construction of massive new publicly financed manufacturing plants in places that would not have been chosen by private firms. This historical dynamic gives rise to an ideal laboratory for studying how public investments that create high-wage employment impact upward mobility in the long run. The authors have digitized data on the locations of World War II manufacturing facilities using the War Production Board data books. Focusing on children who grew up in those areas in the 1940s, the two researchers will then trace those individuals’ income trajectories using the later-20th century Current Population Survey data linked to Social Security Administration-based income histories to examine mobility rates.

This project will build on the relatively thin body of work on informal, home-based child care providers in the United States. It aims to better understand how that community can be supported in meeting societal priorities around increasing affordable access to high-quality early childhood care. Home-based care providers deliver essential care services but occupy a structurally challenging position. These providers are poorly compensated and face challenges when it comes to meeting licensing requirements or achieving high-quality ratings. This study will identify impediments to these child care providers’ abilities to provide high-quality, affordable child care that is accessible to the families that need it. The authors will take advantage of a collaboration with the Virginia Department of Education to conduct interviews with licensed and unlicensed providers in Virginia through participatory action research, a research design that helps create unsilencing opportunities for those who have been silenced. This is especially important since the voices of home-based providers are often not included in the conversation about quality care.

Prior research suggests that the pathways through which childhood poverty shapes poverty in adulthood include physical and mental well-being, educational attainment, employment, and family structure. Income support policies, such as the Earned Income Tax Credit, Supplemental Nutrition Assistance Program, and cash assistance from Temporary Assistance for Needy Families, are all known to reduce levels of child poverty and have the potential to reduce racial disparities in child poverty. Using the Panel Study of Income Dynamics from 1967–2018, the researchers plan to investigate how the introduction of and/or policy changes to the EITC, SNAP, and TANF programs are effective at reducing racial differences in the intergenerational transmission of poverty. The authors will disaggregate their findings by race and use individual-level data from the Panel Study of Income Dynamics to identify children in poverty who were exposed to these programs and will follow them through early adulthood, assessing their poverty status.

Using monthly Current Population Survey data, this study will examine leave-taking behavior during the first few months of the coronavirus pandemic in the United States. Specifically, the authors will investigate whether and how leave-taking was influenced by the passage of the Families First Coronavirus Response Act. The researchers will analyze the impact of FFCRA on several employment and leave-taking outcomes such as employment status, usual hours worked, and reasons for work absence (including child-care problems or one’s own illness). They will use these variables to measure leave-taking behavior, including total leave-taking and reasons for leave taking. These data allow them to explore how workers trade off the alternatives to leave-taking, including working while sick or separation from the labor force. Using a difference-in-difference empirical estimation strategy, the authors will compare leave taking in states that do or do not have state-based paid family and medical leave programs.

This study will explore access, use, and outcomes associated with paid leave during the pandemic in New York City utilizing The New York City Longitudinal Study of Health and Wellbeing, also known as the Poverty Tracker. This survey follows representative samples of New York City residents, interviewing them every three months for up to four years and collecting a wealth of data on poverty, hardship (e.g. food insecurity), health and wellbeing, and specialized topics such as assets and debts. The research team will administer a post-COVID-19 survey with members of their second panel, for whom they have four years of pre-COVID-19 data, including information on employment and employer-provided paid sick leave. Interviewing this panel again will allow the researchers to gather important post-COVID-19 data on (1) use of employer-provided paid sick leave, (2) use of New York State paid family and medical leave and temporary disability insurance, and (3) use of the new federal emergency paid sick leave and paid family leave; as well as 4) post-COVID-19 data on poverty, hardship, and health and wellbeing.