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Improving Information from Manipulable Data
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DOI：10.1093/jeea/jvab017.png)
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摘要
En 中文
Data-based decision making must account for the manipulation of data by agents who are aware of how decisions are being made and want to affect their allocations. We study a framework in which, due to such manipulation, data become less informative when decisions depend more strongly on data. We formalize why and how a decision maker should commit to underutilizing data. Doing so attenuates information loss and thereby improves allocation accuracy.
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3.3
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1.5K
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