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Improving Information from Manipulable Data · Around

2019

Improving Information from Manipulable Data

Frankel, Alex, Kartik, Navin

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Data-based decisionmaking 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 becomes less informative when decisions depend more strongly on data.
We formalize why and how a decisionmaker should commit to underutilizing data.
Doing so attenuates information loss and thereby improves allocation accuracy.

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Bjorkegren, D., J. E. Blumenstock, and S. Knight
Original
2004
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2006
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