Evidence map›Paper›PMID 38992274›Full record

ArticleNature human behaviour2024

Inequality in high-cost borrowing and unemployment insurance generosity in US states during the COVID-19 pandemic.

Lawrence M Berger, Meta Brown, J Michael Collins, Rachel E Dwyer, Jason N Houle, Stephanie Moulton, Davon Norris, Alec P Rhodes

Abstract read
In one paragraph

Article in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lawrence M BergerSandra Rosenbaum School of Social Work and Institute for Research on Poverty, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-7913-1059
Meta BrownDepartment of Economics, The Ohio State University, Columbus, OH, USA.
J Michael CollinsLaFollette School of Public Affairs, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-2280-2130
Rachel E DwyerDepartment of Sociology, The Ohio State University, Columbus, OH, USA. dwyer.46@osu.edu.ORCID http://orcid.org/0000-0002-8256-1500
Jason N HouleDepartment of Sociology, Dartmouth College, Hanover, NH, USA.ORCID http://orcid.org/0000-0002-1278-0644
Stephanie MoultonJohn Glenn College of Public Affairs, The Ohio State University, Columbus, OH, USA. moulton.23@osu.edu.ORCID http://orcid.org/0000-0003-4102-0932
Davon NorrisDepartment of Organizational Studies, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-3590-6473
Alec P RhodesInstitute for Research on Poverty, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-5103-533X

Funding

Institute for Population ResearchP2CHD058484 · NICHD · OHIO STATE UNIVERSITY · PI HAYFORD, SARAH R · 2014 to 2023
$5.0M
Improving Data Collection of Debt and Financial Strain to Assess Health Impacts of Economic InsecurityR01HD103356 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI BERGER, LAWRENCE M, DWYER, RACHEL E · 2021 to 2025
$3.4M
NICHD NIH HHS P2C HD058484NICHD NIH HHS R01 HD103356NSF | NSF Office of the Director | Office of International Science and Engineering (Office of International Science & Engineering) GR122989U.S. Department of Health & Human Services | Administration for Children & Families | Office of Planning, Research and Evaluation (Office of Planning, Research & Evaluation) 1H79AE000058-01U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) P2CHD058484U.S. Social Security Administration (SSA) RDRC WI20-Q2
6 · The paper itself

Abstract

US consumers may turn to the private market for credit when income and government benefits fall short. The most vulnerable consumers have access only to the highest-cost loans. Prior research on trade-offs of credit with government welfare support cannot distinguish between distinct forms of unsecured credit due to data limitations. Here we provide insight on credit-welfare state trade-offs vis-à-vis unemployment insurance generosity by leveraging a large sample of credit data that allow us to separate credit cards, personal loans and alternative financial services loans and to analyse heterogeneity in credit use by household income. We find that more generous state unemployment insurance benefits were associated with a lower probability of high-cost credit use during the first seven quarters of the coronavirus disease 2019 (COVID-19) pandemic. This inverse association was concentrated among consumers living in low-income households. Our results support theories that public benefits are inversely associated with the use of costly credit.

Indexed as

COVID-19UnemploymentHumansIncomeInsuranceSocioeconomic FactorsUnited States

Identifiers

PMID38992274
PMCPMC11419942

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.