We study the personal credit market using unique individual-level data covering fintech and traditional lenders. We show that fintech lenders acquire market share by lending first to higher-risk borrowers and then to safer borrowers, and rely mainly on hard information to make credit decisions. Fintech borrowers are significantly more likely to default than neighbor individuals with the same characteristics borrowing from traditional financial institutions. Furthermore, they tend to experience a short-lived reduction in the cost of credit, because their indebtedness increases more than non-fintech borrowers after loan origination. However, fintech lenders’ pricing strategies are likely to take this into account.

This paper theoretically and empirically studies the interaction of search and application approval in credit markets. Risky borrowers internalize the probability that their application is rejected and behave as if they had high search costs. Thus, “overpayment” may be a poor proxy for consumer sophistication since it partly represents rational search in response to rejections. Contrary to standard search models, our model implies (1) endogenous adverse selection through the search and application approval process, (2) a possibly non‐monotone or non‐decreasing relationship between search and realized interest, default, and application approval rates, and (3) search costs estimated from transaction prices alone are biased. We find support for the model's predictions using a unique data set detailing search behavior of mortgage borrowers. Estimating the model, we find that screening is informative and search is costly. Counterfactual analyses reveal that tightening lending standards and discrimination through application rejection both increase equilibrium interest rates. This increase in realized interest rates is in part due to strategic complementarity in bank rate setting.

Institutions often offer a menu of contracts to consumers in an attempt to create a separating equilibrium that reveals borrower types and provides better pricing. We test the effectiveness of a specific set of contracts in the mortgage market: mortgage points. Points allow borrowers to exchange an upfront amount for a decrease in the mortgage rate. We document that, on average, points takers lose about $700. Also, points takers are less financially savvy (less educated, older), and they make mistakes on other dimensions (e.g., inefficiently refinancing their mortgages). Overall, our results show that borrowers overestimate how long they will stay with the mortgage.

This paper examines the effect of a regulatory action (the Home Valuation Code of Conduct) that was designed to reduce the incidence of inflated collateral valuations. We identify the impact of the regulation using a difference-in-difference identification strategy. Our baseline results confirm that the regulation reduced inflated valuations in refinance transactions by 16% in the large lender sample, compared to small lenders and a placebo sample. The effect is most significant in low-liquidity and low-distress markets, but not in other markets. We find that the regulation had a significant impact on loan to value ratio and interest rate, and it also led to a significant increase in defaults but a decrease in prepayments.

We exploit an episode of plausibly random debt discharge due to the loss of paperwork for thousands of defaulted borrowers to examine the effects of private student debt relief on borrower outcomes. We find that borrowers who receive debt relief (treated) experience declines in debt balances and delinquency rates on other accounts, and increases in mobility and income relative to those who bear the costs of default like wage garnishment and collections (control). Borrowers in both groups contribute to our findings through different mechanisms. While our estimates may not directly apply to blanket student loan forgiveness, they speak to the benefits of forgiveness in reducing the consequences of debt burden for distressed borrowers.

Using new employer-employee matched data, this paper investigates the impact of uncertainty, as measured by idiosyncratic stock market volatility, on individual outcomes. We find that firms provide at best partial insurance to their workers. Increased firm-level uncertainty reduces total compensation, especially variable pay, and workers reduce their durable goods consumption in response. Such shocks also lead to greater financial fragility among lower-income earners. Constructing a new county-level uncertainty shock, we find that local uncertainty shocks reduce county-level durable consumption. Taken together, these findings show that uncertainty shocks can significantly affect local economic activity through households’ consumption and savings decisions.

This paper adopts a novel approach to examine the roles of gender difference and intra-household economic power in mortgage signing order. We develop an “economic power” index based on relative economic power within the same-sex couple households. We then use this measure along with gender identity and other factors to explain signing order in different-gender couples. Our results suggest that, while pure economic power explains much of the observed signing order, gender difference plays an important role. Analysis exploiting regional variation reveals that gender difference in signing order is greater in states with a larger gender wage gap and red states whose residents predominantly vote for the Republican.

This paper conducts a textual analysis of earnings call transcripts to quantify climate risk exposure at the firm level. We construct dictionaries that measure physical and transition climate risks separately and identify firms that proactively respond to climate risks. Our validation analysis shows that our measures capture firm-level variations in respective climate risk exposure. Firms facing high transition risk, especially those that do not proactively respond, have been valued at a discount in recent years as aggregate investor attention to climate-related issues has been increasing. We document differences in how firms respond through investment, green innovation, and employment when facing high climate risk exposure.

We examine the impact of fintech on firm labor demand, job turnover, and firm performance. Occupations with higher exposure to fintech experience a net decline in job postings and employment, though both complementary and substitutive effects emerge across different sectors. Fintech blurs traditional industry boundaries, creating demand for workers with a combination of finance and technology skills. In response, firms upskill through hiring, reallocate talent internally, and pivot innovation to new areas. As a result, firms are better equipped to absorb the shock than individual workers, with innovative firms even experiencing growth in employment, sales, and productivity upon fintech disruption.