Arbeitspapier

Dynamic Refugee Matching

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.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 2018:7

Klassifikation
Wirtschaft
Cooperative Games
Bargaining Theory; Matching Theory
Social Choice; Clubs; Committees; Associations
Positive Analysis of Policy Formulation and Implementation
International Migration
Thema
forced migration
market design
refugee matching
dynamics
envy
efficiency

Ereignis
Geistige Schöpfung
(wer)
Andersson, Tommy
Ehlers, Lars
Martinello, Alessandro
Ereignis
Veröffentlichung
(wer)
Lund University, School of Economics and Management, Department of Economics
(wo)
Lund
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Andersson, Tommy
  • Ehlers, Lars
  • Martinello, Alessandro
  • Lund University, School of Economics and Management, Department of Economics

Entstanden

  • 2018

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