Quarterly Journal of Economics · 2017 · Sumit D. Agarwal、Souphala Chomsisengphet、Neale Mahoney、Johannes Stroebel
中文摘要
我们提出一种研究信贷扩张政策传导的新方法,聚焦于银行与借款人互动中产生的信息不对称等摩擦。我们将银行资金成本变化对总借款的影响分解为银行对各借款人的边际放贷倾向(MPL)与相应借款人的边际借款倾向(MPB)之积,再对经济体中的所有借款人加总。我们通过估计美国信用卡市场中具有异质性的MPB和MPL来应用这一框架。利用850万张信用卡的面板数据以及743个信用额度断点进行断点回归分析,我们发现,MPB随信用评分上升而下降,从FICO评分低于660的消费者的59%降至FICO评分高于740的消费者的基本为零。我们使用一个简单的最优信用额度模型表明,银行的MPL取决于少数几个参数,这些参数可利用上述信用额度断点来估计。对于FICO评分最低的消费者,提高信用额度会大幅降低放贷利润,从而限制银行对这些消费者的最优MPL。MPB与MPL之间的负相关关系削弱了银行资金成本变化对家庭总借款的影响,并凸显了银行与借款人互动中的摩擦对于理解信贷扩张传导的重要性。
Abstract
Abstract We propose a new approach to studying the pass-through of credit expansion policies that focuses on frictions, such as asymmetric information, that arise in the interaction between banks and borrowers. We decompose the effect of changes in banks’ cost of funds on aggregate borrowing into the product of banks’ marginal propensity to lend (MPL) to borrowers and those borrowers’ marginal propensity to borrow (MPB), aggregated over all borrowers in the economy. We apply our framework by estimating heterogeneous MPBs and MPLs in the U.S. credit card market. Using panel data on 8.5 million credit cards and 743 credit limit regression discontinuities, we find that the MPB is declining in credit score, falling from 59% for consumers with FICO scores below 660 to essentially zero for consumers with FICO scores above 740. We use a simple model of optimal credit limits to show that a bank’s MPL depends on a small number of parameters that can be estimated using our credit limit discontinuities. For the lowest FICO score consumers, higher credit limits sharply reduce profits from lending, limiting banks’ optimal MPL to these consumers. The negative correlation between MPB and MPL reduces the impact of changes in banks’ cost of funds on aggregate household borrowing, and highlights the importance of frictions in bank-borrower interactions for understanding the pass-through of credit expansions.