Reforming Rotations
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In many settings, tasks are assigned to agents via a rotation. Such quasi-random allocation ignores heterogeneity in agents performance and preferences. We study how a designer can exploit such heterogeneity to improve aggregate performance while simultaneously ensuring that no agent is worse off
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美国国家经济研究局创建时间:
2024-04-01



