Cited by 249Names, Identity, and Discrimination ResearchExperimental Behavioral Economics StudiesSocial and Intergroup Psychology

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index; 17 of the 44 sources its claims cite were checked for support.

The state of hiring discrimination: A meta-analysis of (almost) all recent correspondence experiments

Open access
Lippens, Louis, Vermeiren, Siel, Baert, Stijn·2023·European Economic Review

Abstract

Notwithstanding the improved integration of various minority groups in the workforce, unequal treatment in hiring still hinders many individuals’ access to the labour market. To tackle this inaccessibility, it is essential to know which and to what extent minority groups face hiring discrimination. This meta-analysis synthesises a quasi-exhaustive register of correspondence experiments on hiring discrimination published between 2005 and 2020. Using a random-effects model, we computed pooled discrimination ratios concerning ten discrimination grounds upon which unequal treatment in hiring is forbidden by law. Our meta-analysis shows that hiring discrimination against candidates with disabilities, older candidates, and less physically attractive candidates seems equally severe as the unequal treatment of candidates with salient racial or ethnic characteristics. Moreover, hiring discrimination against older applicants is more prominent in Europe than in the United States. Last, while we initially find a significant decrease in ethnic hiring discrimination in (Western) Europe, we find no structural evidence of recent temporal changes in hiring discrimination when controlling for the minority groups considered, at the country level, or based on the various other grounds within the scope of this review.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This meta-analysis synthesizes 306 correspondence experiments from 169 studies published between 2005 and 2020, comprising almost 965,000 fictitious job applications, to quantify hiring discrimination across ten legally protected grounds. It finds substantial discrimination against racial/ethnic minorities, people with disabilities, older applicants, and less physically attractive applicants, with limited robust evidence of temporal change and some regional differences.

Key findings

  • Pooled discrimination ratios indicate applicants with disabilities receive about 41% fewer positive responses (DR = 0.5885, 95% CI [0.5277; 0.6563]), less physically attractive applicants about 37% fewer (DR = 0.6308, CI [0.4738; 0.8397]), older applicants about 31% fewer (DR = 0.6867, CI [0.6503; 0.7250]), and ethnic minority candidates about 29% fewer (DR = 0.7113, CI [0.6924; 0.7307]).
  • Among specific groups, Arab/Maghrebi/Middle Eastern applicants face about 41% fewer positive responses (DR = 0.5937, CI [0.5548; 0.6353]), Eastern/South-Eastern Asian applicants about 37% fewer (DR = 0.6286, CI [0.5368; 0.7361]), Southern European applicants about 33% fewer (DR = 0.6673, CI [0.5711; 0.7798]), and African/African American/Black applicants about 32% fewer (DR = 0.6845, CI [0.6444; 0.7270]).
  • Age discrimination is more severe in Europe (DR = 0.6288, CI [0.5349; 0.7392]) than the Americas (DR = 0.6881, CI [0.6438; 0.7354]); older applicants in several European countries face about 50% fewer positive call-backs (DR = 0.5152, CI [0.4258; 0.6234]) versus about 30% fewer in the United States (DR = 0.6916, CI [0.6342; 0.7541]).
  • An initial decline in ethnic hiring discrimination in Europe becomes statistically insignificant when controlling for minority groups considered or country-level analyses; no structural temporal changes are found for other grounds. Potential publication bias is found for race/ethnicity/national origin and sexual orientation, but not structurally for other grounds.

Methods

  • Systematic review and meta-analysis of correspondence experiments first published in English between 2005 and 2020, limited to discrimination grounds forbidden under United States federal or state law; sources included Baert’s (2018) register plus Web of Science and Google Scholar searches in spring 2021.
  • The final dataset contains 169 studies and 306 units of observation, with almost 965,000 fictitious applications; two researchers independently reviewed studies, and missing outcome data for 32 experiments were partly completed, leaving 20 excluded.
  • Random-effects models pooled log-transformed discrimination ratios (risk ratios) by discrimination ground and treatment group, using Knapp-Hartung confidence intervals and Mantel-Haenszel weights adjusted for between-study variance; heterogeneity was assessed with I² and weighted least squares meta-regressions for call-back classification, region, and period, with publication-bias and robustness checks.

Limitations

  • Stated in the paper: the review includes only correspondence experiments, not in-person audits; it excludes unpublished and non-English research, so publication bias may remain; marital status, wealth, and military service/affiliation have too few experiments for convincing conclusions; most variability is unexplained, and meta-regression results are not causal because many relevant covariates were unavailable.
  • Evident from the text: statistical heterogeneity is very high, with I² ranging from 82.36% for age to 98.53% for sexual orientation, and several pooled estimates rely on fewer than ten experiments, making uncertainty large; some regional findings rest on very few studies, such as the Africa gender comparison and the Asia sexual-orientation estimate based on one Cyprus study.

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Integrity signals

Registry

Crossref · 10.1016/j.euroecorev.2022.104315

Cites

99 of 99 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

92 Own result · 15 Own interpretation · 14 Own method · 11 No basis given · 8 No full text of the sources · 7 Supported · 5 Sources not found · 4 Partly supported · 3 Supported so far · 3 Not checked yet · 1 Couldn’t confirm · accuracy not yet measured

Show all 90 claims

  • It may state two separate claims as one. 46
  • Probably not a substantial claim. 33
  • The quote only partly states this claim. 1
73 of 73
  • The authors state this as an assumption.

    The true level of discrimination varies across studies due to differences in the definition and conceptualisation of treatment and control groups, measurement of responses, and overall experimental design and process.

    “We assumed that there was at least some variation in these levels caused by (subtle) differences in the (i) definition and conceptualisation of the treatment and control groups, (ii) measurement of the responses (or call-backs), and (iii) overall experimental design and process.”
  • The authors state this as an assumption.

    The included discrimination ratios follow a normal-like distribution.

    “Since our estimation strategy assumed that the included discrimination ratios follow a normal-like distribution, we logtransformed these ratios before pooling them in our meta-analysis (see Section 2.4.1).”
  • The authors state this as an assumption.

    The random-effects model is an appropriate model to account for between-study heterogeneity.

    “This confirms our priors that (i) there is between-study variation that is driven by differences in the operationalisation of the experimental groups and, more broadly, how the correspondence experiments are designed, and (ii) the random-effects model is an appropriate model to account for such between-study heterogeneity.”
  • The paper relies on this without support.

    Publication bias could adversely impact the results from the meta-analysis, resulting in either an over- or underestimation of hiring discrimination in certain cases.

    “There are several reasons why publication bias could adversely impact the results from our meta-analysis, resulting in either an over-or underestimation of hiring discrimination in certain cases.”
  • The paper relies on this without support.

    The pooled discrimination ratios enable comparison of the severity of unequal treatment in hiring across different discrimination grounds.

    “The pooled discrimination ratios enable us to compare the severity of unequal treatment in hiring across different discrimination grounds.”
  • The authors state this as an assumption.

    Hiring discrimination may be lower if the call-back is measured in the broad sense compared to the narrow sense.

    “We assume that hiring discrimination may be lower if the call-back is measured in the broad sense compared to the narrow sense.”
  • The paper relies on this without support.

    Correspondence testing is the reference method of measurement that allows for a causal interpretation of the empirical evidence of unequal treatment in hiring.

    “In this meta-analysis, we extensively documented and synthesised the recent hiring discrimination literature grounded in the correspondence testing method-i.e. the reference method of measurement that allows for a causal interpretation of the empirical evidence of unequal treatment in hiring.”
  • The paper relies on this without support.

    The Journal of Ethnic and Migration Studies compiled a special issue on ethnic discrimination in the labour market that was first published online in 2019.

    “the Journal of Ethnic and Migration Studies compiled a special issue on ethnic discrimination in the labour market that was first published online in 2019”
8 of 8

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Metadata

Authors
Lippens, L., Vermeiren, S., & Baert, S.
Affiliations
  • Vrije Universiteit Brussel (BE)
  • Ghent University (BE)
  • University of Antwerp (BE)
Corresponding author
Lippens, Louis
Venue
European Economic Review
Publisher
Elsevier BV
Published
2023-01
Volume
151
Pages
104315
ISSN
0014-2921 (ISSN-L)
OpenAlex
W4287460468
Cited by
0
References
91
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • European Economic Review (publishedVersion, cc-by-nc-nd)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by-nc-nd)
  • Econstor (Econstor) (submittedVersion)
Funders
Fonds Wetenschappelijk Onderzoek (S004119N)
Topics
  • Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
Keywords
hiring discrimination, correspondence experiment, labor market access, minority groups, racial discrimination, ethnic discrimination, disability discrimination, age discrimination, physical attractiveness, discrimination ratio

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