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Centralized Matching with Incomplete Information
We study the impacts of incomplete information on centralized one-to-one matching markets. We focus on the commonly used Deferred Acceptance mechanism (Gale and Shapley, 1962). We show that many complete-information results are fragile to a small infusion of uncertainty.
Date:
27 April 2021, 12:45
Venue:
Held on Zoom
Speaker:
Marcelo Fernandez (Johns Hopkins University)
Organising department:
Department of Economics
Part of:
Learning, Games and Network Seminar
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Melis Clark
