arXiv
Open Access
2019
Improving Information from Manipulable Data
Alex Frankel
Navin Kartik
Abstrak
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.
Topik & Kata Kunci
Penulis (2)
A
Alex Frankel
N
Navin Kartik
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2019
- Bahasa
- en
- Sumber Database
- arXiv
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- Open Access ✓