This paper investigates the impact of uncertainty on consumer credit outcomes. We develop a local measure of economic uncertainty capturing county-level labor market shocks. We then exploit microeconomic data on mortgages and credit-card balances together with the crosssectional variation...

Snap, the disappearing message app, went public at $17 per share on March 2, 2017, making its two 20-something founders the youngest self-made billionaires in the country. Over the next three weeks, 14 analysts make investment recommendations on Snap: two with buy recommendations, six with...

We assess the extent to which unemployment insurance (UI) serves as an automatic stabilizer to mitigate the economy's sensitivity to shocks. Using a local labor market design based on heterogeneity in local benefit generosity, we estimate that a one standard deviation increase in generosity...

We provide a first look into retail cryptocurrency investing by observing cryptocurrency purchases and sales into and out of user bank accounts for millions of U.S. individuals. We document the skyrocketing interest of new investors for the crypto space, even among those with limited traditional...

This paper argues that in the presence of trading frictions and agency problems, the interbank market may be overly fragile, in the sense that small changes in the liquidity of assets used as collateral may lead to large swings in haircuts and a potential credit freeze. Our results highlight...

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...

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 first lending to higher-risk borrowers and then to safer borrowers, and mainly rely on hard information to make credit decisions....

We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers' creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to counterfactual outcomes based on a...

Firms offering "buy now, pay later" (BNPL) point-of-sale installment loans with minimal underwriting and low interest have captured a growing fraction of the market for short-term unsecured consumer credit. We provide a detailed look into the US BNPL market by constructing a large panel of BNPL...

The reordering of transactions from "high-to-low" is a controversial bank practice thought to maximize fees paid by low-income customers on overdrawn accounts. We exploit multiple class-action lawsuits resulting in mandatory changes to this practice, coupled with payday lending data, to show...