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Paths to Stability in Two-sided Matching with Uncertainty

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Author Info

  • Emiliya Lazarova

    (Department of Economics, University of Birmingham, United Kingdom)

  • Dinko Dimitrov

    (Chair of Economic Theory, Saarland University, Germany)

Abstract

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.

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Bibliographic Info

Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2013.02.

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Date of creation: Jan 2013
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Handle: RePEc:fem:femwpa:2013.02

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Related research

Keywords: Consistent Outcomes; One-to-One Uncertainty; Many-to-One Uncertainty; Paths to Stability; Two-Sided Matching;

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  1. 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.
  2. Effrosyni Diamantoudi & Eiichi Miyagawa & Licun Xue, 2002. "Random paths to stability in the roommate problem," Discussion Papers 0102-65, Columbia University, Department of Economics.
  3. Roth, Alvin E & Vande Vate, John H, 1990. "Random Paths to Stability in Two-Sided Matching," Econometrica, Econometric Society, vol. 58(6), pages 1475-80, November.
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