Improving Information from Manipulable Data

• Tác giả: Alex Frankel, Navin Kartik
• Ngôn ngữ: eng
• Ký hiệu phân loại: 158.1 Personal improvement and analysis
• Thông tin xuất bản: 2019
• Bộ sưu tập: Báo, Tạp chí
• ID: 163279

Tóm tắt

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.