We examine the effects of social network structure on inequality in a model of referral hiring that focuses on groups rather than individuals. More random social networks yield higher employment rates than less random ones if the population is integrated or job vacancy information flows are random. However less random social networks allow for better containment of job information inside a group in a segregated population with non-random job information flows, resulting in higher employment rates. We report on the robustness of these findings with respect to the size of minority and majority groups and the amount of social segregation.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 66 (2008) Issue (Month): 3-4 (June) Pages: 514-528 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).
Related research
Keywords:
Other versions of this item:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)