G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Paths to Stability in Two-sided Matching with Uncertainty
Emiliya Lazarova; Dinko Dimitrov
发表日期2013
出处Climate Change and Sustainable Development
出版年2013
语种英语
摘要We consider one-to-one matching problems under two modalities of uncertainty that differ in the way types are assigned to agents. Individuals have preferences over the possible types of the agents from the opposite market side and initially know the “name” but not the ”type” of the other players. Learning occurs via matching and using Bayes’ rule. We introduce the notion of a stable and consistent outcome, and show how the interaction between blocking and learning behavior shapes the existence of paths to stability in each of the uncertainty environments. Existence of stable and consistent outcomes then follows as a side result.
特色分类C62;C78;D71;D83
关键词Consistent Outcomes One-to-One Uncertainty Many-to-One Uncertainty Paths to Stability Two-Sided Matching
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/paths-to-stability-in-two-sided-matching-with-uncertainty/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118135
推荐引用方式
GB/T 7714
Emiliya Lazarova,Dinko Dimitrov. Paths to Stability in Two-sided Matching with Uncertainty. 2013.
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