Dynamic Refugee Matching
Dynamic Refugee Matching
复制标题
动态难民匹配
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Alessandro Martinello
中科院分区：
文献类型：
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作者：
Tommy Andersson;Lars Ehlers;Alessandro Martinello
寻求庇护者往往在抵达后直接被分配到东道国的某个地方，这是基于某种不知情的动态匹配系统，该系统不考虑寻求庇护者的背景。本文提出了一个明智的，直观的，易于实施和计算效率高的动态机制，以匹配寻求庇护者的地方。这一机制可用于任何动态的难民匹配问题，只要有特定地点的配额，并可将寻求庇护者分为特定类型。我们证明，任何匹配所提出的机制是帕累托有效的，地方之间的嫉妒是由一个单一的寻求庇护者。通过模拟，我们评估了所提出的机制在类似于美国和瑞典的情况下设置的性能，并表明，我们的机制优于不知情的机制，即使在存在严重的错误分类错误的寻求庇护者类型的估计。
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.