Improving Information from Manipulable Data-Reference-Cited by-同舟云学术

Improving Information from Manipulable Data

Published:2021-06-23 Issue: Volume: Page:
ISSN:1542-4766
Container-title:Journal of the European Economic Association
language:en
Short-container-title:

Author:

Frankel Alex¹,Kartik Navin²

Affiliation:

1. University of Chicago Booth School of Business, USA

2. Department of Economics, Columbia University, USA

Abstract

Abstract 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.

Publisher

Oxford University Press (OUP)

Subject

General Economics, Econometrics and Finance

Link

http://academic.oup.com/jeea/advance-article-pdf/doi/10.1093/jeea/jvab017/38894228/jvab017.pdf

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