Dynamic Refugee Matching

Research output: Working paper

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.

Details

Authors
Organisations
External organisations
  • University of Montreal, Canada
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Economics

Keywords

  • forced migration, market design, refugee matching, dynamics, envy, efficiency, C71, C78, D71, D78, F22
Original languageEnglish
Number of pages29
Publication statusPublished - 2018
Publication categoryResearch

Publication series

NameWorking Papers
PublisherLund University, Department of Economics
No.2018:7