American Economic Review · 2023 · David Delacrétaz、Scott Duke Kominers、Alexander Teytelboym
中文摘要
当前的难民重新安置流程既未考虑难民的偏好，也未考虑接收社区的优先次序。我们引入了一个具有多维背包约束的新型匹配框架，该框架能够刻画难民家庭的（可能是多维的）规模以及社区的接收能力。我们提出了四种难民重新安置机制和两种解概念，可在各种制度与信息约束下用于难民重新安置匹配。我们的理论结果以及利用难民重新安置数据进行的模拟表明，基于偏好的匹配机制能够提高匹配效率，尊重社区的优先次序，并激励难民如实报告其偏好的安置地点。(JEL C78, D82, J15, J18)
Abstract
Current refugee resettlement processes account for neither the preferences of refugees nor the priorities of hosting communities. We introduce a new framework for matching with multidimensional knapsack constraints that captures the (possibly multidimensional) sizes of refugee families and the capacities of communities. We propose four refugee resettlement mechanisms and two solution concepts that can be used in refugee resettlement matching under various institutional and informational constraints. Our theoretical results and simulations using refugee resettlement data suggest that preference-based matching mechanisms can improve match efficiency, respect priorities of communities, and incentivize refugees to report where they would prefer to settle. (JEL C78, D82, J15, J18)