This paper studies how demand for labor reacts to financial technology (fintech) shocks based on comprehensive databases of fintech patents and firm job postings in the U.S. during the past decade. We first develop a measure of fintech exposure at the occupation level by intersecting the textual...

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...

FinTech lending--known for using big data and advanced technologies--promised to break away from the traditional credit scoring and pricing models. Using a comprehensive dataset of FinTech personal loans, our study shows that loan rates continue to rely heavily on conventional credit scores,...

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)...