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Completed STANDARD GRANT National Science Foundation (US)

Collaborative Research: Debt and Insecurity Among Vulnerable Communities During the COVID-19 Crisis

$2.71M USD

Funder National Science Foundation (US)
Recipient Organization Ohio State University
Country United States
Start Date Jun 01, 2021
End Date May 31, 2025
Duration 1,460 days
Number of Grantees 1
Roles Principal Investigator
Data Source National Science Foundation (US)
Grant ID 2049476
Grant Description

In this project, two questions are investigated: first, how financial difficulties were distributed within low-income communities before and during the COVID-19 pandemic and, second, the extent to which social welfare decisions mitigated or exacerbated debt burdens and which of these decisions were most (or least) successful in protecting low-income families from serious financial difficulties. When faced with economic insecurity, many Americans take on debt.

Although access to credit can provide families a resource in times of crisis, debt is often burdensome to repay for low-income families, and can exacerbate, rather than relieve, economic strain and insecurity. With the onset of the COVID-19 crisis, many Americans faced sudden and new sources of economic insecurity, and official responses to the pandemic were diverse.

This study contributes to understanding the combined effects of debt and official responses in low-income communities when a crisis strikes. One important goal of this project is to inform decision-makers about low-income debt and economic insecurity during the COVID-19 crisis in order to increase the effectiveness of future interventions.

The research questions are addressed through linkages of consumer credit, alternative financial services, and state data sets. Levels of indebtedness in low-income communities are captured with zip-code level quarterly data on consumer credit, such as mortgages and credit cards. Alternative financial service use—e.g., payday and title loans—is obtained from Q1 2019 through Q4 2020.

These data are linked to state and zip-level data that include sociodemographic characteristics, COVID-related constraints, and state-level social safety net procedures. Analysis involves, first, description of debt patterns in vulnerable communities in the United States before and after the onset of the COVID-19 pandemic. Second, a variety of statistical models are used to investigate associations between debt problems and official responses to the pandemic in these communities.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

All Grantees

Ohio State University

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