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信用评分的量化理论

A Quantitative Theory of the Credit Score
Econometrica · 2023 · Satyajit Chatterjee、Dean Corbae、Kyle Dempsey、José-V́ıctor Ŕıos-Rull

中文摘要

信用评分在信贷市场中发挥什么作用?我们认为,它在一定程度上反映了市场对个人不可观测类型的评估,而本文将这种类型设定为耐心程度。我们构建了一个具有持续性隐藏类型的模型,其中可观测行为通过贝叶斯更新塑造公众对个人类型的评估。我们阐明了动态声誉如何激励还款。重要的是,我们说明了具有信用评分的经济如何实现相同的均衡配置。我们同时利用信贷市场数据和个人信用评分的演变来估计该模型。我们进行反事实分析,以评估在个人评分中使用更多或更少信息如何影响结果和福利。如果法律禁止追踪个人信贷行为,低类型的贫困青年尽管因动态还款激励减弱而面临更高的利率,仍会因受到高类型者的补贴而获益。

Abstract

What is the role of credit scores in credit markets? We argue that it is, in part, the market's assessment of a person's unobservable type, which here we take to be patience. We postulate a model of persistent hidden types where observable actions shape the public assessment of a person's type via Bayesian updating. We show how dynamic reputation can incentivize repayment. Importantly, we show how an economy with credit scores implements the same equilibrium allocation. We estimate the model using both credit market data and the evolution of individuals' credit scores. We conduct counterfactuals to assess how more or less information used in scoring individuals affects outcomes and welfare. If tracking of individual credit actions is outlawed, poor young adults of low type benefit from subsidization by high types despite facing higher interest rates arising from lower dynamic incentives to repay.
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