Evidence map›Paper›PMID 36624828›Full record

ArticleJournal of housing and the built environment : HBE2023

Racial disparities in unemployment benefits among U.S. mortgage borrowers during COVID-19.

JungHo Park, Dongha Park

Open access · bronzeAbstract read
In one paragraph

Article in Journal of housing and the built environment : HBE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 9% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

2 authors at 2 institutions in 1 country.

JungHo ParkDepartment of Housing and Interior Design (AgeTech-Service Convergence Major), College of Human Ecology, Kyung Hee University, Seoul, South Korea.ORCID 0000-0002-0726-5699
Dongha ParkDepartment of Urban Planning and Housing, Gyeonggi Research Institute, 1150, Gyeongsu-daero, Jangan-gu, Suwon-si, Gyeonggi Province 16207 South Korea.ORCID 0000-0003-2005-4113
Gyeonggi Research Institute · KRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes racial and ethnic differences in mortgage payment difficulties during the COVID-19 pandemic and examines whether disparities exist in the benefits of the unemployment insurance (UI) program. The sample consisted of 80,797 jobless mortgage borrowers who received or waited for UI benefits between August 2020 and May 2022. Considering individual- and state-level variables in multilevel logistic regressions, we examined rates of mortgage delay in the last month and payment concerns about the next month by racial and ethnic group. Minority borrowers were more likely to have a difficulty in paying mortgage than White borrowers. UI recipients-regardless of race and ethnicity-were less likely to experience mortgage difficulties, but the positive unemployment benefit was reduced disproportionately among Blacks. Blacks were also at a higher risk of mortgage difficulties compounded by other pandemic-induced hardships-loss of household, lack of food, and mental illness-even after the receipt of UI. Findings on the intersection between race and ethnicity and UI suggest that pandemic policy interventions should be race conscious and consider the longstanding and systematic barriers experienced by minority mortgage borrowers. Supplementary Information: The online version contains supplementary material available at 10.1007/s10901-022-10006-w.

Indexed as

Coronavirus (COVID-19) pandemicMortgage payment difficultyPandemic-induced hardshipsRacial disparitiesUnemployment insurance

Identifiers

PMID36624828
PMCPMC9812739
OpenAlexW4313490791

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.