Evidence map›Paper›PMID 37146136›Full record

ArticleScience advances2023

Gender composition predicts gender bias: A meta-reanalysis of hiring discrimination audit experiments.

Diana Roxana Galos, Alexander Coppock

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Diana Roxana GalosCentre for the Experimental-Philosophical Study of Discrimination (CEPDISC), Department of Political Science, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-7907-412X
Alexander CoppockDepartment of Political Science, Yale University, New Haven, CT, USA.ORCID 0000-0002-5733-2386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 1983, more than 70 employment audit experiments, carried out in more than 26 countries across five continents, have randomized the gender of fictitious applicants to measure the extent of hiring discrimination on the basis of gender. The results are mixed: Some studies find discrimination against men, and others find discrimination against women. We reconcile these heterogeneous findings through a "meta-reanalysis" of the average effects of being described as a woman (versus a man), conditional on occupation. We find a strongly positive gender gradient. In (relatively better paying) occupations dominated by men, the effect of being a woman is negative, while in the (relatively lower paying) occupations dominated by women, the effect is positive. In this way, heterogeneous employment discrimination on the basis of gender preserves status quo gender distributions and earnings gaps. These patterns hold among both minority and majority status applicants.

Indexed as

EmploymentSexismFemaleHumansIncomeMaleOccupationsSalaries and Fringe Benefits

Identifiers

PMID37146136
PMCPMC11326032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.