彩票
边际价值
匹配(统计)
计算机科学
惩罚(心理学)
微观经济学
经济
价值(数学)
运筹学
精算学
机器学习
数学
统计
心理学
社会心理学
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2020-06-01
卷期号:66 (6): 2291-2307
被引量:25
标识
DOI:10.1287/mnsc.2019.3311
摘要
We study a setting in which dynamically arriving items are assigned to waiting agents, who have heterogeneous values for distinct items and heterogeneous outside options. An ideal match would both target items to agents with the worst outside options and match them to items for which they have high value. Our first finding is that two common approaches—using independent lotteries for each item and using a waitlist in which agents lose priority when they reject an offer—lead to identical outcomes in equilibrium. Both approaches encourage agents to accept items that are marginal fits. We show that the quality of the match can be improved by using a common lottery for all items. If participation costs are negligible, a common lottery is equivalent to several other mechanisms, such as limiting participants to a single lottery, using a waitlist in which offers can be rejected without punishment, or using artificial currency. However, when there are many agents with low need, there is an unavoidable trade-off between matching and targeting. In this case, utilitarian welfare may be maximized by focusing on good matching (if the outside option distribution is light tailed) or good targeting (if it is heavy tailed). Using a common lottery achieves near-optimal matching, whereas introducing participation costs achieves near-optimal targeting. This paper was accepted by Charles Corbett, operations management.
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