Digital technologies and fintech firms have rapidly reshaped the consumer financial landscape in recent years, and have the potential to help consumers make better decisions and improve their financial health. Existing technologies such as autopay are also experiencing increased takeup, a trend...

Inspired by the field experiment in Bertrand and Morse (2011), the state of Texas adopted an information disclosure for consumers taking out payday loans starting in January, 2012. The disclosure compares the cost of payday loans with other credit products, and presents their likelihood of...

We study fraud in the unemployment insurance (UI) system using a dataset of 35 million debit card transactions. We apply machine learning techniques to cluster cards corresponding to varying levels of suspicious or potentially fraudulent activity. We then conduct a difference-in-differences...

In recent years, university endowments have received much attention for their spectacular returns and innovative investment strategies, but few papers have examined trends in the endowment sector at large. In this paper, we analyze a sample of 1,300 educational endowments between 1992 and 2005....

This paper studies how investing in venture capital (VC) affects the entrepreneurial outcomes of individual limited partners (LPs). Using comprehensive administrative data on entrepreneurial activities and VC fundraising and investments in China, we first document that individual LPs, on...

In recent years, impact investors - private investors who seek to generate simultaneously financial and social returns - have attracted intense interest and controversy. We analyze a novel, comprehensive data set of impact and traditional investors to assess how the non-financial characteristics...

Global innovation and entrepreneurship has traditionally been dominated by a handful of high-income countries, especially the US. This paper investigates the international consequences of the rise of a new hub for innovation, focusing on the dramatic growth of high-potential entrepreneurship and...

We develop a unique dataset of 24 thousand U.S. finance patents granted over last two decades to explore the evolution and production of financial innovation. We use machine learning to identify the financial patents and extensively audit the results to ensure their reasonableness. We find that...

We identify novel technologies using textual analysis of patents, job postings, and earnings calls. Our approach enables us to identify and document the diffusion of 29 disruptive technologies across firms and labor markets in the U.S. Five stylized facts emerge from our data. First, the...

This paper examines how government funding programs geared towards early-stage companies interact with private capital markets. Using hand-collected data on 755 government programs worldwide, we find that governments' allocations to such funding programs have been comparable to global venture...