Centralized Matching with Incomplete Information

Autor: Fernandez, Marcelo Ariel, Rudov, Kirill, Yariv, Leeat
Rok vydání: 2021
Předmět:
Druh dokumentu: Working Paper
Popis: 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 about others' preferences.
Databáze: arXiv