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Cited by 331

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Who Gets the Job Referral? Evidence from a Social Networks Experiment

Open access
Beaman, Lori, Magruder, Jeremy·2012·American Economic Review

Abstract

We use recruitment into a laboratory experiment in Kolkata, India to analyze how social networks select individuals for jobs. The experiment allows subjects to refer actual network members for casual jobs as experimental subjects under exogenously varied incentive contracts. We provide evidence that some workers, those who are high ability, have useful information about the abilities of members of their social network. However, the experiment also shows that social networks provide incentives to refer less qualified workers, and firms must counterbalance these incentives in order to effectively use existing employees to help overcome their screening problem.

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Metadata

Authors
Beaman, L., & Magruder, J.
Venue
American Economic Review
Published
2012-12-01
Volume
102
Issue
7
Pages
3574-3593
ISSN
0002-8282 (ISSN-L)
OpenAlex
W2163495370
Cited by
331
References
57
FWCI
60.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Who Gets the Job Referral? Evidence from a Social Networks Experiment. https://app.cochat.ai/papers/10.1257/aer.102.7.3574
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Beaman, L., & Magruder, J. (2012). Who Gets the Job Referral? Evidence from a Social Networks Experiment. American Economic Review. https://doi.org/10.1257/aer.102.7.3574

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.