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.
Archives: Grant
Welfare Effects of Common Ownership
The common ownership hypothesis suggests that when large investors own shares in more than one firm within the same industry, those firms may have reduced incentives to compete. Firms can soften competition by producing fewer units, raising prices, reducing investment, innovating less, or limiting entry into new markets. The U.S. Department of Justice, the Federal Trade Commission, the European Commission, and the Organisation for Economic Co-operation and Development have all acknowledged concerns about the anticompetitive effects of common ownership and have relied on the theory and evidence of common ownership in major merger cases. This is a series of four separate projects by the four researchers. The first project seeks to show a link between executive compensation and measures of common ownership, providing a “mechanism” for how common ownership might affect competition and consumption. The second focuses on innovation, building on recent work and seeking to incorporate effects of common ownership, which are predicted to vary according to technological and product-market relationships. The third project is largely theoretical and will study the size and magnitude of the relationship between common ownership and innovation and the extent to which that varies across the universe of publicly listed U.S. corporations. Finally, the fourth project is a data collection effort, expanding the universe of high-quality common ownership data outside of the United States.
Which Policies are Effective at Reducing Racial Differences in the Intergenerational Transmission of Poverty?
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.
Walmart Supercenters and Monopsony Power: How a Large, Low-Wage Employer Impacts Local Labor Markets
This project seeks to determine the overall impact of Walmart supercenters on local employment and earnings, and more generally on the competitive structure of affected local labor markets. The research design exploits the fact that Walmart Inc. attempted to place a supercenter in 39 counties but was prevented from doing so as the result of local efforts. These counties are compared to those where a supercenter was opened. Data on employment and earnings is gathered from the Quarterly Census of Employment and Wages, and county-by-year labor force data from the Local Area Unemployment Statistics, both from the U.S. Bureau of Labor Statistics. Preliminary results show that the entry of Walmart supercenters caused significant reductions in aggregate local employment and earnings, with retail employment increasing immediately upon entry before largely reverting to pre-entry levels. This research will help us understand how large employers can exercise monopsony power locally in the market for less-skilled labor and what the consequences are for workers.
Unequal Protections: Regional Disparities in Labor Standards Policies, Enforcement, and Violations
Fine, Galvin, Round, and Shepherd seek to understand the relationship between region, race, state enforcement capacities, and minimum wage violations in the United States, and what the mechanisms are by which weaker state enforcement capacities might produce a higher incidence of minimum wage violations. This exploratory, theory-building project involves three major empirical components. First, the four researchers will improve upon, merge, and expand separate datasets they previously compiled on subnational labor standards enforcement capacity to create a novel and flexible database of all the enforcement capacities of the 50 states and the District of Columbia. Data and coding rules will be made fully transparent to enable future researchers to use whichever combination of codes best suits their particular research questions. Second, the researchers will use CPS-MORG data to estimate the minimum wage violation rate in every state and region of the United States. Third, they will use exploratory, in-depth comparative case studies to identify and theorize a repertoire of mechanisms linking the legacy of slavery and the post-slavery racialized economy in the South to weak state enforcement capacity and minimum wage violations in order to understand the role of federalism in creating and maintaining Black-White racial disparities.
Carbon Pricing and Innovation in a World of Political Constraints
This project will convene economists, political scientists, energy scholars, and policy practitioners to synthesize collective expertise on the role of carbon pricing and innovation in climate policy. Participants will discuss how carbon pricing has been used around the world, its economic and political potential as a climate policy tool, and the importance of considering political economy in the design, implementation, and durability of climate policies.
COVID-19 and Paid Leave: Assessing the Impact of the FFCRA
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.
Access to Paid Leave during the Covid-19 Pandemic: Evidence from NYC
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.
Did Paid Sick Leave and Family Medical Leave Ameliorate the Health and Economic Effects of the COVID-19 Pandemic?
This study will examine whether state-mandated paid sick leave and state-mandated paid family and medical leave has helped control the early spread of COVID-19 and ameliorated the economic distress caused by the pandemic. In particular, the research team will explore whether people in states with guaranteed paid sick leave fared better in the pandemic and were better able to adopt social distancing measures compared to those in states without such a guarantee. State administrative data show that, early in the pandemic, there was a surge of initial claims in some states with their own paid leave systems—well before the Families First Coronavirus Response Act was signed into law. The research team will explore whether this surge in leave-taking is reflected in measures of social distancing or staying at home as captured by cell-phone location data, and whether that is reflected in the COVID-19 incidence data. Finally, the authors are also interested in whether there are differences across states with and without paid leave systems in reported measures of illness, leave-taking, and economic and psychological distress associated with the pandemic.
Racial and ethnic inequality in consumption smoothing
Forty-two percent of Americans report that they do not have savings that could be used to cover unexpected expenses, a staggeringly high number. And there are stark racial differences, with 38 percent of White households and 55 percent of Black households saying they don’t have money to cover an emergency expense—one manifestation of the Black-White wealth divide. Yet there is surprisingly little research on how typical month-to-month fluctuations in income affect consumption and even less evidence on how this consumption smoothing varies with wealth. Given how central consumption dynamics are for macroeconomics, it’s important to understand the sensitivity of consumption to income and how that might vary by race and wealth.
This project uses exciting new data to explore how income shocks may be passed through to consumption. By linking deidentified administrative bank data with self-reported race information from voter registration records, the authors will be able to identify the response of consumption by race with a large enough dataset (the analysis sample consists of 1.8 million matched bank-voter records) to identify racial differences credibly. Understanding how well households can smooth consumption, and how and why some groups—such as Black and Hispanic households who have lower-than-average wealth—may face greater challenges in doing so, is central for developing policy to address economic inequality and ensure vulnerable households achieve economic security.