Grant Category

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?

The acquisition and deployment of human capital in the market drives advances in productivity. The extent to which someone is rich or poor, experiences family instability, faces discrimination, or grows up in an opportunity-rich or opportunity-poor neighborhood affects future economic outcomes and can subvert the processes that lead to productivity gains, which drive long-term growth.

How does economic inequality affect the development of human capital, and to what extent do aggregate trends in human capital explain inequality dynamics? To what extent can social programs counteract these underlying dynamics? We are interested in proposals that investigate the mechanisms through which economic inequality might work to alter the development of human potential across the generational arc, as well as the policy mechanisms through which inequality’s potential impacts on human capital development and deployment may be mitigated.

  • Economic opportunity and intergenerational mobility
  • Economic instability
  • Family stability
  • Neighborhood characteristics

Explore the Grants We've Awarded

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The optimal design of parental leave policies and gender equality: mismatch of skills across genders

Grant Year: 2017

Grant Amount: $15,000

Grant Type: doctoral

The goal of this study is to understand the welfare consequences from long-term skill mismatches due to childbirth and how maternity leave policies can help alleviate such mismatches. This research focuses on job match quality between men and women through joint decision-making, and its contribution to the gender wage gap. While the gender wage gap has been studied in relation to occupation or sector type, the job match paradigm within the context of household decision-making is less understood. Findings will be relevant to discussions of effective federal paid leave policies, among others.

The impact of paid maternity leave: evidence from temporary disability insurance in Rhode Island

Grant Year: 2017

Grant Amount: $40,000

Grant Type: academic

This research explores how maternity leave affects mothers and their children. Much of the work on paid maternity leave in the United States has focused on the labor supply effect for women, with a small literature on health effects for children. Using a set of linked administrative data from the state of Rhode Island, this project will examine a more extensive set of outcomes for both mothers and children. In addition, the research will look at maternal and child outcomes for individuals across the income distribution, providing needed nuance to assess various policy options.

The effect of government cash assistance on household credit access and use

Grant Year: 2016

Grant Amount: $100,000

Grant Type: academic

This team of young, promising applied economists seeks to quantify how public assistance affects households’ financial well-being through increasing access to credit. We know little about the interactions between social safety net programs and the financial well-being of families. This paper uses a credible and proven research design to provide new evidence to better our understanding of the role of credit markets in the lives of the poor. By matching individual credit data to administrative data, the authors will estimate the effects of removing low-income youth with disabilities from Supplemental Security Income on credit access, secured borrowing, and payday loan borrowing for the youth and their families. There is great interest in this broad subject, and precious few ways to tease out causal impacts. Yet with cutting-edge methods and use of administrative data, the authors will attempt to do so.

Preschool attendance and child health: Evidence from state-funded Pre-K programs

Grant Year: 2016

Grant Amount: $15,000

Grant Type: doctoral

This project seeks to contribute to the literature on the impact of large-scale, publicly-funded preschool education programs on a variety of health and developmental outcomes for children ages 4 to 12. While numerous studies exist on the effects of attending Head Start, there is a dearth of research on state pre-K programs even though they are currently the largest provider of preschool education in the United States. State-funded pre-K programs have been expanding since the 1990s and the calls for universal pre-K continue. This project promises to add useful data to those discussions.

Firms, human capital, and careers

Grant Year: 2016

Grant Amount: $15,000

Grant Type: doctoral

Building on recent work in labor economics focused on the role of firms, this research seeks to shed light on the importance of firms specifically in the careers of young workers. Using administrative matched employer-employee data, the researcher seeks to document facts regarding access to high-wage firms and movements between high- and low-wage firms over the span of a worker’s career. This has the potential to improve our understanding of cohort inequality as well as potential scarring effects of recessions.

School-to-work transitions and wage outcomes of Texas populations from colonias and model subdivisions

Grant Year: 2015

Grant Amount: $15,000

Grant Type: doctoral

This project will study the school-to-work transitions and subsequent earnings of Texas high school students. This project will focus on some of Texas’ most socially and economically excluded populations—those living in substandard housing settlements found in unincorporated areas outside Texas border cities. This research will shed light on the efficacy of potential education and workforce interventions to assist impoverished student populations.

Experts

Grantee

Nataliya Nedzhvetskaya

University of California, Berkeley

Dissertation Scholar and Ph.D. Candidate

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Tal Gross

Boston University

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Kate Bronfenbrenner

Cornell University

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Natasha Pilkauskas

University of Michigan, Ann Arbor

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Nirupama Rao

University of Michigan, Ann Arbor

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Our funding interests are organized around the following four drivers of economic growth: the macroeconomy, human capital and the labor market, innovation, and institutions.

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