Funded Research

Our funding interests are organized around the following four drivers of economic growth: macroeconomics and inequality, market structure, the labor market, and human capital and wellbeing. We consider proposals that investigate the consequences of economic inequality, as well as group dimensions of inequality; the causes of inequality to the extent that understanding these causal pathways will help us identify and understand key channels through which inequality may affect growth and stability; and the ways in which public policies affect the relationship between inequality and growth.

Explore the Grants We've Awarded

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What can 5 million households tell us about the impact of credit access on job finding and wage inequality?

Grant Year: 2015

Grant Amount: $54,000

Grant Type: academic

This project will bring together macroeconomic theory and large-scale microeconomic datasets to advance modern economics and inform monetary and public policy. Using employment records merged to credit reports, the authors will estimate the impact of credit access on the job-finding rates and re-employment earnings of displaced workers. Past research has examined the borrowing and credit use of the unemployed, and this study builds on that line of work to examine the direct impact of credit on future outcomes. In preliminary results, the authors find that credit access increases the time before re-employment, but also increases average salary once a new job is found. This work will develop a search model capable of explaining these new findings.

The military and incarceration: Hidden mechanisms of racial inequality in the U.S. labor market, 1980-2010

Grant Year: 2015

Grant Amount: $15,000

Grant Type: doctoral

This project will study the rise of mass incarceration in relation to military downsizing. The author will determine whether the military-penal crossover, occurring in the 1990s and continuing through the present, has reinforced racial inequality in the labor market, with blacks experiencing more incarceration while decreasingly enlisting in the military.

Household debt, municipal debt and aggregate demand

Grant Year: 2015

Grant Amount: $45,000

Grant Type: academic

The researchers will use an historical accounting methodology, established in earlier work, to examine the extent to which changes in household leverage have contributed to shifts in aggregate demand over the past 80 years. They will expand this accounting framework to analyze municipal debt—both an important asset in financial markets and a critical source of finance for local public goods. The results and underlying data will likely provide new evidence on how debt affects the macroeconomy and will have implications for monetary policy as well as policy responses to levels of private and public leverage.

College and intergenerational mobility: New evidence from administrative data

Grant Year: 2015

Grant Amount: $28,000

Grant Type: academic

Many argue that higher education is one of the best ways to increase intergenerationalmobility. Students from lower-income backgrounds can move up the income ladder if they attend the right college or university. But how equal is access to those schools? If qualified low-income students aren’t attending the schools that provide the most opportunity, then the college attendance process may be retarding upward economic mobility. This research project will look at the role of colleges and universities in transmitting income inequality into the next generation. Using gold-standard restricted-access tax data, the author will identify where students from across the income distribution attend college, and which colleges are improving the economic standing of students up and down the income ladder.

Impact of the great rise in finance on resource allocation and employment

Grant Year: 2015

Grant Amount: $60,000

Grant Type: academic

The authors will investigate how large increases in household debt affect the allocation of labor across geographical areas and industries. This project is a continuation of their previous research on household debt, and will result in the creation of a new historical county-level panel of household balance sheets and industry-specific employment—a harmonized data set (1946-2012) that will be available to other researchers. A second contribution is a test of whether the run-up in debt led to imbalances in employment, a corollary to the findings in Mian and Sufi (2014) about employment shocks during the Great Recession. A better understanding of the interaction between household debt and structural changes in the allocation of labor could help researchers better identify and understand the root causes behind the labor market slowdown.

Inequality, aggregate demand, and secular stagnation

Grant Year: 2015

Grant Amount: $15,000

Grant Type: doctoral

Over the past two years, “secular stagnation” has been widely discussed within the policy community. Supporters of the secular-stagnation hypothesis believe that demand may be permanently below supply capacity, with low interest rates and inflation targets by central banks preventing real interest rates from falling to the point necessary to restore the supply and demand balance. Widening income inequality has been cited as one cause of secular stagnation. This project will develop a theoretical model to illuminate how income inequality affects aggregate income and therefore economic growth. The model has important implications for economic policy, particularly monetary policy.

Funded research

Human Capital and Wellbeing

How does economic inequality affect the development of human capital, and to what extent do aggregate trends in human capital explain inequality dynamics?

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Funded research

Macroeconomics and Inequality

What are the implications of inequality on the long-term stability of our economy and its growth potential?

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Funded research

Market Structure

Are markets becoming less competitive and, if so, why, and what are the larger implications?

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Funded research

The Labor Market

How does the labor market affect equitable growth? How does inequality in turn affect the labor market?

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