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Referrals and information flow in networks increase discrimination: A laboratory experiment
Hungarian Acad Sci, Hungary.
Linnaeus University, Faculty of Social Sciences, Department of Social Studies. (DISA;CSS)ORCID iD: 0000-0003-2837-0137
Univ Brescia, Italy.
2018 (English)In: Social Networks, ISSN 0378-8733, E-ISSN 1879-2111, Vol. 54, p. 254-265Article in journal (Refereed) Published
Abstract [en]

Referrals and information flow distort market mechanisms of hiring in the labor market, but they might assist employers under asymmetric information infinding better alternatives. This paper investigates whether an impartial information flow between employers in a cyclic network structure could generate more discrimination than when no information is exchanged between employers. We set up an artificial labor market in which there was no average quality difference between two categories of workers. We asked participants to play the role of employers and examined the partiality of their hiring choices. Results showed that discrimination was prevalent in all conditions. Higher standards by the employers for the quality of workers increased discrimination as did the presence of referrals from workers. Unexpectedly, impartial information flow in a cyclic network of employers did not help to decrease discrimination. We also showed that these mechanisms interact with and subdue each other in complex ways.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 54, p. 254-265
National Category
Sociology
Research subject
Social Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-72051DOI: 10.1016/j.socnet.2018.03.005ISI: 000432768600021OAI: oai:DiVA.org:lnu-72051DiVA, id: diva2:1194326
Available from: 2018-03-31 Created: 2018-03-31 Last updated: 2018-07-12Bibliographically approved

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Bravo, Giangiacomo

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CiteExportLink to record
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  • apa
  • harvard1
  • ieee
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  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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