Using federal income tax data, this project will investigate intragenerational income mobility in the United States. The researchers will explore the determinants of mobility—such as aging, employment history, industry trends, marriage or divorce, and geographical mobility—and examine how household income profiles respond to earnings shocks.

This research seeks to better understand how readily low-income households spend an extra dollar of income by utilizing a novel quasi-experimental design based on the uncertainty of tax refunds. A better understanding of the marginal propensity to consume at the bottom of the income distribution has important implications for the design of fiscal stimulus and unemployment insurance systems, as well as the tax system.

This project examines the effect of incarceration on various outcomes, including recidivism, human capital accumulation, employment, and earnings. The authors will do so using a natural experiment leveraging variation in sentencing outcomes due to differences between randomly assigned judges. Taking advantage of the considerable administrative data capacities of University of Chicago’s Chapin Hall, the authors aim to make novel contributions extending well beyond the current literature, which largely relies on survey data. This research will address critical questions such as the flat lining of male labor force participation, and the importance of the prison boom in driving the black/white wage gap.

This project will quantify the gains that low-wage workers make via union membership, not only in terms of wages but also benefits, health and safety protections, grievance procedures, training, and work flexibility and regularity. Utilizing a database of first contracts gained under collective bargaining agreements, the researcher seeks to provide a broader view of unionization’s benefits which fully captures the human capital implications. In addition, this project focuses on women, workers of color, and low-wage workers, which the vast majority of the contemporary research on unions and labor market outcomes does not capture. Low-wage workers are disproportionately at the bottom of the income scale, and account for a significant share of the growth in income inequality. Understanding the diverse consequences of organizing and collective bargaining may provide insights into how and why inequality has grown.

This project will undertake a quantitative, rigorous assessment of financial regulation in the United States, an underdeveloped area of research within the social sciences. While there is an extensive literature on regulatory politics, the focus on financial regulation has eluded many political scientists (and most economists as well). Moreover, research on the effects of unequal influence has largely focused on representation and legislation, with minimal attention paid to the final, critical step of rulemaking in the “sausage factory” of policymaking. This project will create a new database on financial rulemaking covering the past three decades, with a particular focus on the pre- and post-Dodd Frank Act. The dataset will be publically available and include rules changes, comments, and linkages of these variables to financial enforcement and appointments data. The possibilities for influencing the rules through lobbying of various sorts are enormous and may significantly contribute to economic inefficiencies, rent seeking, and inequality, which in turn have implications for growth.

U.S. states and municipalities have increasingly granted targeted financial incentives to individual firms, arguing that upfront investments by governments will lead to job creation and increased tax revenues. Yet such policies increase inter-firm inequality by targeting a subset of firms while excluding others, and can distort local economic development by shifting scarce resources to individual firms. This project will explore the implications of these policies for state and local communities—including their effects on the distribution of tax burdens, budgets, and income inequality—through data collection aimed at documenting changing patterns of government spending and taxation across U.S. cities and states.