Decentralized matching and social segregation
Yan Chen,
Ernst Fehr,
Urs Fischbacher and
Peter Morgan
Games and Economic Behavior, 2015, vol. 90, issue C, 17-43
Abstract:
Social segregation is a ubiquitous feature of human life. People segregate along the lines of income, religion, ethnicity, language, and other characteristics. This study provides the first experimental examination of decentralized matching with search frictions and institutionalized segregation. The findings indicate that, without a segregation institution, high types over-segregate relative to the equilibrium prediction. We observe segregation attempts even when equilibrium suggests that everyone should accept everyone else. In the presence of a segregation institution, we find that, while the symmetric segregation institution increases matching success rate and efficiency in one environment, it has weak or no effect in a steep-incentive environment. By adding an entry cost to a flat-incentive market, however, the asymmetric segregation institution leads to an increased matching success rate and efficiency in both environments, which underscores the importance of a coordination device.
Keywords: Decentralized matching; Segregation; Experiment (search for similar items in EconPapers)
JEL-codes: C78 D83 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0899825615000032
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:gamebe:v:90:y:2015:i:c:p:17-43
DOI: 10.1016/j.geb.2014.11.004
Access Statistics for this article
Games and Economic Behavior is currently edited by E. Kalai
More articles in Games and Economic Behavior from Elsevier
Bibliographic data for series maintained by Catherine Liu ().