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