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衡量消费信贷中的偏见

Measuring Bias in Consumer Lending
Review of Economic Studies · 2021 · Will Dobbie、Andres Liberman、Daniel Paravisini、Vikram Pathania

中文摘要

本文利用英国一家高成本贷款机构的行政数据,检验消费信贷中的偏见。我们以一个关于偏见的新委托—代理模型作为分析的理论依据。在该模型中,贷款审查员受到激励,追求短期结果最大化,而非长期利润最大化,由此对处于贷款决策边际且缺乏流动性的申请人产生偏见。我们利用贷款审查员的准随机分配来识别边际申请人的盈利能力,发现采用该企业偏好的长期利润衡量指标时,存在针对移民和年长申请人的统计显著的偏见;而采用用于评估审查员绩效的短期指标时,则未发现统计显著的偏见。在这种情况下,以群体间存在差异的特征为基础的市场激励,导致了无效率的基于群体的偏见。

Abstract

Abstract This article tests for bias in consumer lending using administrative data from a high-cost lender in the U.K. We motivate our analysis using a new principal-agent model of bias where loan examiners are incentivized to maximize a short-term outcome, not long-term profits, leading to bias against illiquid applicants at the margin of loan decisions. We identify the profitability of marginal applicants using the quasi-random assignment of loan examiners, finding significant bias against immigrant and older applicants when using the firm’s preferred measure of long-run profits but not when using the short-run measure used to evaluate examiner performance. In this case, market incentives based on characteristics that vary across groups lead to inefficient group-based bias.
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