Paths to Stability in Two-sided Matching with Uncertainty
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.
|Date of creation:||Jan 2013|
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- Bo Chen & Satoru Fujishige & Zaifu Yang, 2010.
"Decentralized Market Processes to Stable Job Matchings with Competitive Salaries,"
KIER Working Papers
749, Kyoto University, Institute of Economic Research.
- Bo Chen & Satoru Fujishige & Zaifu Yang, 2011. "Decentralized Market Processes to Stable Job Matchings with Competitive Salaries," Discussion Papers 11/03, Department of Economics, University of York.
- Roth, Alvin E & Vande Vate, John H, 1990. "Random Paths to Stability in Two-Sided Matching," Econometrica, Econometric Society, vol. 58(6), pages 1475-1480, November.
- Diamantoudi, Effrosyni & Miyagawa, Eiichi & Xue, Licun, 2004. "Random paths to stability in the roommate problem," Games and Economic Behavior, Elsevier, vol. 48(1), pages 18-28, July.
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