Pooled testing for quarantine decisions
نویسندگان
چکیده
We study optimal testing to inform quarantine decisions for a population exhibiting heterogeneous probability of carrying pathogen. Because test supply is limited, the planner may choose pooled sample, which contains specimens multiple individuals ( Dorfman, 1943 ). characterize unique allocation tests. This features assortative batching , whereby agents differing infection risk are never jointly tested. Moreover, tests only whose prior decision most uncertain. Finally, with higher tested in smaller batches, because such minimize informational externality group testing.
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ژورنال
عنوان ژورنال: Journal of Economic Theory
سال: 2021
ISSN: ['1095-7235', '0022-0531']
DOI: https://doi.org/10.1016/j.jet.2021.105372