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This paper presents a novel model of the lending process that takes into account that loan officers must spend time and effort to originate new loans. Besides generating predictions on loan officers’ compensation and its interaction with the loan review process, the model sheds light on why competition could lead to excessively low lending standards. We also show how more intense competition may fasten the adoption of credit scoring. More generally, hard-information lending techniques such as credit scoring allow to give loan officers high-powered incentives without compromising the integrity and quality of the loan approval process.
This paper presents a novel model of the lending process that takes into account that loan officers must spend time and effort to originate new loans. Besides generating predictions on loan officers’ compensation and its interaction with the loan review process, the model sheds light on why competition could lead to excessively low lending standards. We also show how more intense competition may fasten the adoption of credit scoring. More generally, hard-information lending techniques such as credit scoring allow to give loan officers high-powered incentives without compromising the integrity and quality of the loan approval process. The model is finally applied to study the implications of loan sales on the adopted lending process and lending standard.
We analyze incentives for loan officers in a model with hidden action, limited liability and truth-telling constraints under the assumption that the principal has private information from an automatic scoring system. First we show that the truth-telling problem reduces the bank’s expected profit whenever the loan officer cannot only conceal bad types, but can also falsely report bad types. Second, we investigate whether the bank should reveal her private information to the agent. We show that this depends on the percentage of good loans in the population and on the signal’s informativeness. Though we had to define different regions for different parameters, we concluded that it might often be favorable to not reveal the signal. This contradicts current practice.