Working Papers,
Lund University, Department of Economics

Abstract: Asylum seekers are often assigned to a locality in their host country directly upon arrival based on some type of uninformed dynamic matching system which does not take the background of the asylum seekers into consideration. This paper proposes an informed, intuitive, easy-to-implement and computationally efficient dynamic mechanism for matching asylum seekers to localities. This mechanism can be adopted in any dynamic refugee matching problem given locality-specific quotas and that asylum seekers can be classified into specific types. We demonstrate that any matching selected by the proposed mechanism is Pareto efficient and that envy between localities is bounded by a single asylum seeker. Via simulation, we evaluate the performance of the proposed mechanism in settings that resemble the US and the Swedish situations, and show that our mechanism outperforms uninformed mechanisms even in presence of severe misclassification error in the estimation of asylum seeker types.

Keywords: forced migration; market design; refugee matching; dynamics; envy; efficiency

JEL-codes: C71; C78; D71; D78; F22

29 pages, March 27, 2018

Full text files

WP18_7  Full text

Download statistics

• Lund University, Department of Economics
• Home page for this series

Questions (including download problems) about the papers in this series should be directed to Iker Arregui Alegria ()
Report other problems with accessing this service to Sune Karlsson ().

RePEc:hhs:lunewp:2018_007This page generated on 2024-09-15 00:49:36.