What's in a Face? An Experiment on Facial Information and Loan-Approval Decision
成果类型:
Article
署名作者:
Chen, Zeyang; Liu, Yu-Jane; Meng, Juanjuan; Wang, Zeng
署名单位:
Renmin University of China; Peking University
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.2022.4436
发表日期:
2023
页码:
2263-2283
关键词:
facial information
cash loan
repayment behavior
Machine Learning
摘要:
Facial information is essential in daily life, but relatively little is known about whether seeing a face improves people's decision quality. This experimental paper studies the loan-approval decisions based on the historical cash-loan data with real repayment outcomes and exogenously varies whether and how a borrower's facial information is provided. We find that facial information does not improve subjects' decisions, despite the fact that it can predict repayment behavior in a machine-learning algorithm. This is because subjects have various biases in evaluating facial photos, and they rely excessively on facial information inmaking the loan-approval decisions.