This project partners with two guaranteed income experiments in Georgia to understand how guaranteed income affects asset development and credit-building. One experiment, in and around Atlanta, enrolled 654 low-income Black women in the summer of 2022. This experiment uses two different models of benefit delivery—equal-sized regular payments versus a one-time lump-sum payment followed by smaller regular payments. There is also a control group formed by those not randomly selected for the program. The other project takes 200 homeless clients from Project Community Connections Inc. and randomly assigns half of them to receive case management and housing assistance, while the other half receives those services plus $400 per month. For both experiments, the research team will link to credit report data and create a control group from the credit data to provide insight on racially patterned economic disparities and potential policy interventions. This paper will bridge guaranteed income—an income-maintenance intervention—with the study of wealth development and access to credit.
Archives: Grant
Missing pieces in the puzzle: Leveraging untapped archival data to connect New Deal housing policies to racial and spatial inequality
This project will digitize previously thought to be destroyed Federal Housing Administration maps created in the 1930s and 1940s that outline redlining in FHA loans. Furthermore, the authors plan to digitize 10,000 Paid Loan Case files, which describe individual FHA loans. They will then look at how the information in these maps helped decide which neighborhoods were redlined and how important race was in those decisions. Lastly, they will look at who received FHA loans and how these loans affected homeownership.
Changing Climate for Union Organizing: Non-Board campaigns 2016-2022
This project will answer how campaigns for unionization run outside of the National Labor Relations Board differ from NLRB campaigns in terms of firm, industry, and bargaining unit characteristics, as well as employer and union tactics. There is existing evidence that NLRB-certified elections are fraught with employer labor law violations and other barriers. Card check campaigns, on the other hand, offer a potentially compelling alternative way of organizing. This study will use an in-depth national survey of lead organizers in private-sector, non-Board organizing campaigns to examine the characteristics and effectiveness of the campaigns. The author will compile a database of non-Board organizing campaigns from 2016–2022 to show the extent of non-Board organizing, whether these campaigns have declined in number and size in accordance with NLRB campaigns, and which unions and industries have the most non-Board organizing activity. The author will then conduct a survey of 500 non-Board campaign organizers on employer and union tactics, unit demographics, and the election and first contract process.
Aggregate Costs of Workplace Sexual Harassment
Workplace sexual harassment is a pervasive problem that affects women more than men and often leads to a decline in productivity and altered labor market outcomes for survivors. This project is the first to attempt to quantify the implications of workplace sexual harassment for economic growth and gender wage inequality. What are the aggregate implications of workplace sexual harassment? And how can policy effectively reduce its consequences? The authors will use employer-employee linked administrative data from Denmark, along with a survey tracking instances of workplace sexual harassment, to calibrate a quantitative model. They will measure three channels: productivity, the accumulation of human capital, and the allocation of talent. They will also measure how each of these channels affect output and wage inequality, and how harassment affects workers directly reporting harassment, as well as the spillover to other workers at the same firm. These measurements will enable the authors to see when people change jobs after harassment or don’t change jobs, and they plan to look beyond policies intended to address harassment, including policies that boost worker power and mobility.
The Self-Taught Economy: Open Access and Inclusion in the Tech Industry
This project asks, “Can access grant inclusion?” The author will explore this question in the context of open-access coding platforms that allow people to be self-taught coders. The technology sector is notoriously exclusionary, and computer science degrees are difficult to obtain because of the high cost of college, among other factors. Could open-access training platforms create a path for individuals from underrepresented communities of color to take advantage of the explosive job growth in the technology sector? This project will address these questions by combining survey data with in-depth interviews and observations of those who have participated in a specific learn-to-code platform. Preliminary findings indicate that the open-access platform does not aid those who have been excluded from high-quality jobs in the tech industry. The project seeks to understand why open-access training platforms are not leading to success. What barriers do female applicants or applicants of color face in job-seeking? This research will be especially informative for efforts to address job quality and wage stagnation by advocating for worker training. If completing worker training does not lead to the desired outcomes, then policymakers need to understand those programs as only part of the solution and identify necessary complements.
Collateral Consequences: How Driver’s License Suspensions Create Barriers to Work
This research explores how nonwork policies affect work opportunities. The inability for individuals with low incomes to access transportation is a significant barrier to employment. Existing research has focused on the lack of car ownership or transportation deserts. But for millions of U.S. workers, the suspension of their driver’s licenses is a significant concern, with a large portion of those suspensions due to Failure to Comply and Failure to Appear violations. As of 2021, more than 1 million people in North Carolina (the state the author is researching) have active license suspensions as a result of these policies. For many, these policies often create a vicious cycle of debt and collateral consequences that linger for years. The author will conduct semi-structured interviews with people in North Carolina whose driver’s license has been suspended due to Failure to Comply and Failure to Appear violations to better understand the mechanisms through which driver’s license suspension structures affect individuals’ employment opportunities.
Racial disparities in heat exposure
This project ties together neighborhood segregation, migration patterns, and local spending and policies to explore how “structural racism is built into physical infrastructure in cities.” The author will use granular satellite images to measure temperature in Black and White urban neighborhoods. The project will look at the degree to which neighborhoods are segregated and the level of surface imperviousness in each of those neighborhoods. The author also will map Great Migration patterns, White flight, and local government spending patterns. The research uses data from the University of Virginia’s Environmental Inequality Lab and builds on research on Northern cities’ responses to the Great Migration. Preliminary results show that historical Black migrant inflows increased the surface temperature of neighborhoods where Black households live, relative to the neighborhoods where White households live, as well as the Black-White gap in neighborhood imperviousness.
Concentration and Racial Equity in Meat Processing
This project seeks to provide some of the first causal evidence on how concentration in the meat-processing industry affects producers, workers, and consumers across racial and income groups in the United States. Rising concentration has been especially salient in the meat-processing industry, and recent research connects market power in the product market with monopsony power in the labor market. This project will build and expand on that literature by measuring the effect of consolidation by meat processors on monopoly power in the input and product markets, and monopsony power in the labor market, and then assessing what the implications of these market conditions are on racial inequality, specifically farmer profits, conditions for workers, and prices for consumers.
Caregiving Arrangements for Older Adults: The Roles of Family Characteristics and Public Benefits
Individuals and their families use a variety of caregiving arrangements, but there is little research on who is likely to use which kind of arrangement. Furthermore, existing scholarship mainly focuses on the characteristics of the care recipient, without considering how family characteristics influence choices for caregiving arrangements. This mixed-methods study will explore how family characteristics and social infrastructure programs shape caregiving arrangements for older adults in the United States. The first two papers quantify and study the relationship between family characteristics and the size and scope of several social infrastructure and caregiving arrangements. The third paper will use semi-structured interviews with families who have eldercare responsibilities, focusing on Black females in the Chicago area, to shed light on their decision-making processes. Through these interviews, the author will explore how access to public programs affects their decisions, how they were selected as caregivers, what their preferences and future expectations are, and how employment plays into their decisions. The sample will include recipients (either care recipients or caretakers) of Social Security Insurance, Social Security Disability Insurance, Old Age and Survivors Insurance, Paid Family Leave, and Home & Community Based Services waivers from Medicaid.
Do Labor Strikes Achieve Worker Demands? Understanding Strike Outcomes and Effectiveness
This project is a data collection effort that seeks to fill an important gap: the undercounting of strikes. The author will collect data on all strikes in the United States regardless of size, duration, or whether workers are unionized or not. There is a perceived rise in collective action, but current data sources are not collecting information on the full universe of strikes. This effort will define a strike as “a temporary stoppage of work by a group of workers in order to express a grievance or to enforce a demand. Such a grievance or demand may or may not be workplace related.” A rigorous search and verification protocol by the author will ensure that a strike occurred. Data will be collected on other variables related to the strike, and all data will be publicly accessible on an interactive map. This project will extend recent research that has found strikes decreased in both amount and scale, and that strike effectiveness declined. It seeks to provide information on the outcomes of strikes for workers and their organizations, and under what conditions strikes are most effective. A notable extension is an investigation of whether strikes can respond to identity-based inequality, such as racial discrimination or sexual harassment, by studying noneconomic demands.