In a recent set of influential papers, researchers have argued that residential mortgage foreclosures reduce the sale prices of nearby properties. We revisit this issue using a more robust identification strategy combined with new data that contain information on the location of properties...

Financially constrained borrowers have the incentive to influence the appraisal process in order to increase borrowing or reduce the interest rate. We document that the average valuation bias for residential refinance transactions is above 5%. The bias is larger for highly leveraged...

We exploit an episode of plausibly-random debt discharge, due to the inability of National Collegiate to prove chain of title, to examine the effects of student debt relief on individual credit and labor market outcomes. We find that borrowers experiencing this debt relief shock reduce their...

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. An increase in firm-level uncertainty is associated...

We study the interaction of search and application approval in credit markets. We combine a unique dataset, which details search behavior for a large sample of mortgage borrowers, with loan application and rejection decisions. Our data reveal substantial dispersion in mortgage rates and search...

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....

This paper investigates the impact of lower mortgage rates on household balance sheets and other economic outcomes during the housing crisis. We use proprietary loan-level panel data matched to consumer credit records using borrowers' Social Security numbers, which allows for accurate...

This paper studies racial/ethnic disparities in awareness of chronic diseases using biomarker data from the 2006 HRS. We estimate a 3-step sequential probit model which accounts for selection into: (1) participating in biomarker collection; (2) having illness (hypertension or diabetes); (3)...