Unsecured Credit and the Social Safety Net in U.S. States

Low-income households in the United States draw on public and private resources to manage economic risk. Cross-national scholars describe a “credit–welfare state tradeoff” where credit markets become particularly important when state benefits are less supportive. The United States is frequently highlighted in this regard, with its often-inadequate market-first safety net. Both credit markets and the safety net are, however, highly unequal and segmented across U.S. states. We provide new empirical insights on the credit–welfare state nexus by leveraging a large national sample of credit record data that allows us to distinguish between credit instruments. We link these data to a comprehensive dataset on state safety nets with comparable measures of program supportiveness. We estimate two-way fixed-effects models that exploit temporal variation within states in safety net supportiveness. We find that living in states with more supportive safety nets is associated with a lower probability of high-cost alternative payday, installment, and personal finance loan use, and a higher probability of mainstream credit card access, particularly among low-income households. In the context of the relative inadequacy of the U.S. safety net, state safety net supportiveness matters less for whether people borrow than for what credit instruments they use. Our findings suggest that efforts to restrict the U.S. safety net are likely to increase reliance on high-cost loans among low-income households, furthering the unequal burden of interest and fees levied on these households.

Authors

Institutions

Publication Details

Journal
American Sociological Review
Published
2026-02-22
DOI
https://doi.org/10.1177/00031224251411563
Primary Topic
Financial Literacy, Pension, Retirement Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unsecured Credit and the Social Safety Net in U.S. States

Sarah K. Bruch, Lawrence M. Berger, Alec P. Rhodes, Rachel E. Dwyer et al.
American Sociological Review
Financial Literacy, Pension, Retirement Analysis
article

Unsecured Credit and the Social Safety Net in U.S. States

Sarah K. Bruch, Lawrence M. Berger, Alec P. Rhodes, Rachel E. Dwyer, Davon Norris, Jason N. Houle
article en

Abstract

Low-income households in the United States draw on public and private resources to manage economic risk. Cross-national scholars describe a “credit–welfare state tradeoff” where credit markets become particularly important when state benefits are less supportive. The United States is frequently highlighted in this regard, with its often-inadequate market-first safety net. Both credit markets and the safety net are, however, highly unequal and segmented across U.S. states. We provide new empirical insights on the credit–welfare state nexus by leveraging a large national sample of credit record data that allows us to distinguish between credit instruments. We link these data to a comprehensive dataset on state safety nets with comparable measures of program supportiveness. We estimate two-way fixed-effects models that exploit temporal variation within states in safety net supportiveness. We find that living in states with more supportive safety nets is associated with a lower probability of high-cost alternative payday, installment, and personal finance loan use, and a higher probability of mainstream credit card access, particularly among low-income households. In the context of the relative inadequacy of the U.S. safety net, state safety net supportiveness matters less for whether people borrow than for what credit instruments they use. Our findings suggest that efforts to restrict the U.S. safety net are likely to increase reliance on high-cost loans among low-income households, furthering the unequal burden of interest and fees levied on these households.

American Sociological Review
Dartmouth College (US), University of Wisconsin–Madison (US), Purdue University West Lafayette (US), University of Michigan (US), Dartmouth Hospital (GB), The Ohio State University (US), University of Delaware (US)
No poverty
Openalex Percentile: Top 48%
Financial Literacy, Pension, Retirement Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.