LinkedOut? A Field Experiment on Discrimination in Job Network Formation

Abstract We assess the impact of discrimination on Black individuals’ job networks across the United States using a two-stage field experiment with 400+ fictitious LinkedIn profiles. In the first stage, we vary race via AI-generated images only and find that Black profiles’ connection requests are 13% less likely to be accepted. Based on users’ CVs, we find widespread discrimination across social groups. In the second stage, we exogenously endow Black and white profiles with the same networks and ask connected users for career advice. We find no evidence of direct discrimination in information provision. However, when taking into account differences in the composition and size of networks, Black profiles receive substantially fewer replies. Our findings suggest that gatekeeping is a key driver of Black–white disparities.

Authors

Institutions

Publication Details

Journal
The Quarterly Journal of Economics
Published
2024-10-25
DOI
https://doi.org/10.1093/qje/qjae035
Citations
10
Primary Topic
Labor Movements and Unions
Type
article
Field-Weighted Citation Impact
8.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LinkedOut? A Field Experiment on Discrimination in Job Network Formation

Felix Rusche, Wladislaw Mill, Yulia Evsyukova
10 citations
The Quarterly Journal of Economics
Labor Movements and Unions
8.56
article

LinkedOut? A Field Experiment on Discrimination in Job Network Formation

Felix Rusche, Wladislaw Mill, Yulia Evsyukova
article en
10 citations

Abstract

Abstract We assess the impact of discrimination on Black individuals’ job networks across the United States using a two-stage field experiment with 400+ fictitious LinkedIn profiles. In the first stage, we vary race via AI-generated images only and find that Black profiles’ connection requests are 13% less likely to be accepted. Based on users’ CVs, we find widespread discrimination across social groups. In the second stage, we exogenously endow Black and white profiles with the same networks and ask connected users for career advice. We find no evidence of direct discrimination in information provision. However, when taking into account differences in the composition and size of networks, Black profiles receive substantially fewer replies. Our findings suggest that gatekeeping is a key driver of Black–white disparities.

The Quarterly Journal of EconomicsVol. 140(1)
Centre for European Economic Research (DE), University of Mannheim (DE)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 2%
Labor Movements and Unions
8.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.