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...

In this paper, we review the growing literature on FinTech lending - the provision of credit facilitated by technology that improves the customer-lender interaction or lenders' screening and monitoring of borrowers. FinTech lending has grown rapidly, though in developed economies like the U.S....

With the onset of the COVID-19 crisis in March 2020, small business lending through fintech lenders collapsed. We explore the reasons for the market shutdown using detailed data about loan applications, offers, and take-up from a major small business fintech credit platform. We document that...

Information asymmetries are known in theory to lead to inefficiently low credit provision, yet empirical estimates of the resulting welfare losses are scarce. This paper leverages a randomized experiment conducted by a large fintech lender to estimate welfare losses arising from asymmetric...

We ask whether epidemic exposure leads to a shift in financial technology usage within and across countries and if so who participates in this shift. We exploit a dataset combining Gallup World Polls and Global Findex surveys for some 250,000 individuals in 140 countries, merging them with...

The paper provides an overview of cryptocurrencies and decentralized finance. The discussion lays out potential benefits and challenges of the new system and presents a comparison to the traditional system of financial intermediation. Our analysis highlights that while the DeFi architecture...

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...

A binding interest rate cap on household savings is a common form of financial repression in developing economies and typically benefits banks. Using proprietary data from a leading Chinese FinTech company, we study Fintech's role in ending financial repression in China through the introduction...

Developing country lenders are taking advantage of fintech tools to create fully digital loans on mobile phones. Using administrative and survey data, we study the take up and impacts of one of the most popular digital loan products in the world, M-Shwari in Kenya. While 34% of those eligible...

Discrimination in lending can occur either in face-to-face decisions or in algorithmic scoring. We provide a workable interpretation of the courts' legitimate-business-necessity defense of statistical discrimination. We then estimate the extent of racial/ethnic discrimination in the largest...