Evidence map›Paper›PMID 32476697›Full record

ArticleResearch in social stratification and mobility2019

Race-Ethnicity, Class, and Unemployment Dynamics: Do Macroeconomic Shifts Alter Existing Disadvantages?

Weihsin Yu, Shengwei Sun

Abstract read
In one paragraph

Article in Research in social stratification and mobility, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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.

Weihsin YuUniversity of Maryland, College Park.
Shengwei SunWashington University in St. Louis.
University of Maryland, College Park · USWashington University in St. Louis · US

Funding

Sci-Tech Core-Maryland Population Research CenterP2CHD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Susan W Parker · 2018 to 2026
$3.9M
NICHD NIH HHS P2C HD041041
6 · The paper itself

Abstract

Research indicates that individuals of different races, ethnic backgrounds, and class origins differ in their unemployment rates. We know less, however, about whether these differences result from the differing groups' unequal hazards of entering or exiting unemployment and even less about how economic fluctuations moderate the ethnoracial and class-origin gaps in the long-term risks of transitioning into and out of unemployment. Using Rounds 1-17 of the National Longitudinal Survey of Youth 1997 and event history models, we show that non-Hispanic blacks become more similar to non-Hispanic whites in their paces of entering unemployment as their local unemployment rate rises, perhaps because jobs largely closed to the former are eliminated in a greater proportion during recessions. Nonetheless, blacks' relatively slow pace of transitioning from unemployment to having a job decelerates further with economic downturns. By contrast, Hispanics' paces of entering and exiting unemployment relative to non-Hispanic whites hardly change with local unemployment rates, despite unemployed Hispanics' slower rate of transitioning to having a job. With respect to class origin, we find that the advantages in both unemployment entry and recovery of young men with relatively educated parents diminish with economic deterioration. Based on these results, we suggest that facing economic pressure, employers' preference for workers of a higher class origin is more malleable than their preference for whites over blacks, making unemployed blacks especially disadvantaged in uncertain economic times.

Identifiers

PMID32476697
PMCPMC7259616
OpenAlexW2964077524

What OpenQuestion holds

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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.