How does the large market for credit score improvement products affect consumers and market efficiency? For consumers, we use a randomized encouragement design on a standard credit builder loan (CBL) and find null average effects on scores. But a generalized random forest algorithm finds...

We analyze the information content of the digital footprint – information that people leave online simply by accessing or registering on a website – for predicting consumer default. Using more than 250,000 observations, we show that even simple, easily accessible variables from the digital...

Discrimination in lending can occur either in face-to-face decisions or in algorithmic scoring. We provide a workable interpretation of the courts' legitimate-business-necessity defense of statistical discrimination. We then estimate the extent of racial/ethnic discrimination in the largest...

We develop a theory of trust in lending, distinguishing between trust and reputation, and use it to analyze the competitive interactions between banks and non-bank lenders (fintech firms). Trust enables lenders to have assured access to financing, whereas a loss of investor trust makes this...

In this paper, we review the growing literature on FinTech lending – the provision of credit facilitated by technology that improves the customer-lender interaction or lenders’ screening and monitoring of borrowers. FinTech lending has grown rapidly, though in developed economies like the...

This paper tests for bias in consumer lending decisions using administrative data from a high-cost lender in the United Kingdom. We motivate our analysis using a simple model of bias in lending, which predicts that profits should be identical for loan applicants from different groups at the...

One suggested hypothesis for the dramatic rise in household borrowing that preceded the financial crisis is that low-income households increased their demand for credit to finance higher consumption expenditures in order to "keep up" with higher-income households. Using household level data on...

It is often argued that people might take on too much high-cost debt because they are present focused and/or overoptimistic about how soon they will repay. We measure borrowers' present focus and overoptimism using an experiment with a large payday lender. Although the most inexperienced...

Poor loan quality is often attributed to loan officers exercising poor judgment. A potential solution is to base loans on hard information alone. However, we find other consequences of bypassing discretion stemming from loan officer incentives and limits of hard information verifiability. Using...

We study the spending response of first-time borrowers to an overdraft facility and elicit their preferences, beliefs, and motives through a FinTech application. Users increase their spending permanently, lower their savings rate, and reallocate spending from non-discretionary to discretionary...