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.

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 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.

Exploiting variation in the timing of resets of adjustable-rate mortgages (ARMs), we find that a sizable decline in mortgage payments (up to 50 percent) induces a significant increase in car purchases (up to 35 percent). This effect is attenuated by voluntary deleveraging. Borrowers with lower incomes and housing wealth have significantly higher marginal propensity to consume. Areas with a larger share of ARMs were more responsive to lower interest rates and saw a relative decline in defaults and an increase in house prices, car purchases, and employment. Household balance sheets and mortgage contract rigidity are important for monetary policy pass-through.