Evolutionary dynamics and equitable core selection in assignment games
Heinrich H. Nax and
Bary S.R. Pradelski
No 607, Economics Series Working Papers from University of Oxford, Department of Economics
Abstract:
We study evolutionary dynamics in assignment games where many agents interact anonymously at virtually no cost. The process is decentralized, very little information is available and trade takes place at many different prices simultaneously. We propose a completely uncoupled learning process that selects a subset of the core of the game with a natural equity interpretation. This happens even though agents have no knowledge of other agents' strategies, payoffs, or the structure of the game, and there is no central authority with such knowledge either. In our model, agents randomly encounter other agents, make bids and offers for potential partnerships and match if the partnerships are profitable. Equity is favored by our dynamics beause it is more stable, not because of any ex ante fairness criterion.
Keywords: assignment games; cooperative games; core; equity; evolutionary game theory; learning; matching markets; stochastic stability (search for similar items in EconPapers)
JEL-codes: C71 C73 C78 D83 (search for similar items in EconPapers)
Date: 2012-06-01
New Economics Papers: this item is included in nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ora.ox.ac.uk/objects/uuid:2200fef8-b575-4e41-85dc-2e47b3fc9401 (text/html)
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:oxf:wpaper:607
Access Statistics for this paper
More papers in Economics Series Working Papers from University of Oxford, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Anne Pouliquen (facultyadmin@economics.ox.ac.uk this e-mail address is bad, please contact repec@repec.org).