This paper assesses the potential impact of FinTech on the finance industry, focusing on financial stability and access to services. I document first that financial services remain surprisingly expensive, which explains the emergence of new entrants. I then argue that the current regulatory...

The cost of financial intermediation has declined in recent years thanks to technological progress and increased competition. I document this fact and I analyze two features of new financial technologies that have stirred controversy: returns to scale, and the use of big data and machine...

Web3 and DeFi are widely advocated as innovations for greater financial inclusion and democratization. We assemble the most comprehensive dataset to date on the largest Web3 ecosystem and use large-scale computing to conduct an initial investigation. We describe Ethereum's network structure,...

Migrant remittances are significant but remain relatively costly to send. Policymakers have argued that fintech, specifically, comparison websites like kayak.com but for sending money, can boost financial inclusion and reduce remittance prices. Yet, little is known about how migrants with...

Wages have been spreading out across workers over time - or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the U.S.,...

We introduce a new rule-based linking method for historical Census records. We augment earlier algorithms based on name, age and place of birth (Abramitzky, Boustan, Eriksson, 2012, or "basic ABE"), with five matching characteristics - middle initial, county of residence, and spouse and parents'...

Markets for consumer financial services are growing rapidly in low and middle income countries and being transformed by digital technologies and platforms. With growth and change come concerns about protecting consumers from firm exploitation due to imperfect information and contracting as well...

This paper combines a data rich environment with a machine learning algorithm to provide new estimates of time-varying systematic expectational errors ("belief distortions") embedded in survey responses. We find that distortions are large on average even for professional forecasters, with all...

A key challenge for research on many questions in the social sciences is that it is difficult to link historical records in a way that allows investigators to observe people at different points in their life or across generations. In this paper, we develop a new approach that relies on millions...

Understanding factors affecting the direction of innovation is a central aim of research in the economics of innovation. Progress on this topic has been inhibited by difficulties in measuring distance and movement in knowledge space. We describe a methodology that infers the mapping of the...