A clearer picture of U.S. intergenerational mobility is emerging for the latter part of the 20th century, but the same is not true for earlier in the century. This project is a massive data undertaking that will produce a database of mobility rates going back to 1900. Previous work, most notably the American Opportunity Study, links U.S. Census Decennials from 1940–2000. This project makes some important extensions. It will expand the feasible linkages back to 1900 so that the panel spans the entire 20th century. Perhaps the most important contribution is the use of the Social Security Numerical Identification Files, or SS-5s, which contain information obtained from the application for a Social Security card for more than 40 million individuals who died prior to 2007 and include substantially more information on individuals than U.S. Census records, increasing the number of linkages and the quality of those linkages. In particular, the wealth of information in a single record is vastly superior to a Census-to-Census linking process and will better facilitate linkages within families, including for married women who have changed their names, improving the representation of women and racial and ethnic minorities. This will allow the researchers to study differences across space (states), as well as differences by race and gender.

This project will examine how Unemployment Insurance policies interact with job search behavior in dual-earner households in the United States. More specifically, the researcher will explore the impacts of an expansion of Unemployment Insurance to include workers who leave their jobs due to their spouse getting a job that requires relocation. Using the National Longitudinal Survey of Youth from 1979 and 1997, and the Survey of Income and Program Participation from 2008, this study will seek to explain how and if access to Unemployment Insurance influences whether households will migrate long distances and attempts to measure if access to Unemployment Insurance is associated with higher wages after the household moves. The findings have the potential to inform our understanding of the gender wealth gap and women’s labor force participation, as well as geographic mobility, which has been declining in recent decades.

This study will seek to explore the consequences of diversity programs on recipients’ individual-level labor market outcomes. Using an audit study, the researcher will examine how Black university diversity scholarship recipients fare when seeking entry-level jobs after graduation in comparison to other Black job applicants. The author then will link these results to a survey of hiring professionals to understand the social and psychological phenomena that may explain the differential treatment of diversity scholarship recipients. The author also will use administrative data from a California postdoctoral program to compare post-Ph.D. outcomes of diversity scholarship recipients to applicants who were closely considered but did not receive the scholarship. The study could add to our understanding of the unintended consequences of diversity initiatives, which may inadvertently stigmatize recipients, and the broader implications of efforts to create more access and more means of support for scholarship recipients of color.

This research projects aims to identify the characteristics of individuals who have a family member who experiences the onset of disability or health shock but lack access to paid caregiving leave. The investigators will also estimate the impact of access to paid caregiving leave on financial security and employment for this group of individuals. The research team will use data from the National Compensation Survey to develop a machine-learning classification model that will be used to determine the likelihood that individuals observed in the Survey of Income and Program Participation have access to paid leave. This novel technique overcomes limitations of existing data sources that have hamstrung previous research efforts and poises the project to make a significant contribution to the small but growing body of research on caregiving leave.

This project seeks to determine the feasibility of a paid family and medical leave insurance (PFMLI) program with an opt-out mechanism. While state PFMLI programs in the United States vary somewhat in program parameters, all essentially require eligible workers to participate and are funded through payroll contributions. Some allow employers to self-insure and opt out of the public program. Generally, employees do not have that option. But proposed legislation in New Hampshire would create a program that contains an employee opt-out mechanism. There is a large gap in understanding of this design choice. Which individuals would opt out? And which would opt out initially and then opt in later? And how would that interact with the employer self-insurance opt-out? The answers have lasting implications for the cost of the program, the level of benefits that can be offered, the possibility of implicit or explicit bias against low-wage women workers of reproductive age, and the ultimate success of the program. The researcher will create, distribute, and analyze a survey of New Hampshire workers in an effort to predict their behavior if such a program were to be implemented.

This project seeks to identify the impact of workforce characteristics on the employer costs of implementing paid leave policies. The researchers will perform an empirical examination of the way New York City’s paid sick days law has affected covered businesses. They will undertake an employer survey of 350 firms, analyze the impact of workforce characteristics on costs, firm profitability, the share of the workforce that has access to paid sick days, and on the number of paid sick days available to specific categories of workers before and after the law.