We examine whether social networks facilitate online markets using data from a leading peer-to-peer lending website. We find that borrowers with social ties are consistently more likely to have their loans funded and receive lower interest rates; however, most borrowers with social ties are more...

The dramatic increase of direct-to-consumer advertising (DTCA) of prescription drugs created intensive debates on its effects on patient and doctor behaviors. Combining 1994-2000 DTCA data with the 1995-2000 National Ambulatory Medical Care Surveys, we examine the effect of DTCA on doctor...

The recent withdrawal of Cox-2 Inhibitors has generated debate on the role of information in drug diffusion: can the market learn the efficacy of new drugs, or does it depend solely on manufacturer advertising and FDA updates? In this study, we use a novel data set to study the diffusion of...

Using proprietary data from Alibaba, we examine how the 2015 Food Safety Law (FSL) affects e-commerce in China. The FSL requires most food sellers on e-commerce platforms to obtain a valid, online license for retail food handling. Because the FSL was rolled out progressively, we have a rare...

During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant activity data, we find that...

Using bi-weekly snapshots of Zillow in three US cities, we document how home sellers and buyers interact with Zillow's Zestimate algorithm during the sales cycle of residential properties. We find that listing and selling outcomes respond significantly to Zestimate, and Zestimate is quickly...

Some argue that large platforms, such as Alphabet/Google, Amazon, Apple, Facebook and Microsoft (or GAFAM), are unusual in their number, pace and concentration of technology mergers, with the potential to harm market competition. Using a unique taxonomy developed by S&P Global Market...

Using bi-weekly snapshots of Zillow in three US cities, we document how home sellers and buyers interact with Zillow's Zestimate algorithm during the sales cycle of residential properties. We find that listing and selling outcomes respond significantly to Zestimate, and Zestimate is quickly...

Mergers and acquisitions (M&A) provide an important way for firms to expand technologically. In this paper, we examine how public firms listed in North American stock exchanges acquire technology companies during 2010-2020. Combining data from Compustat, CRSP, Refinitiv, and S&P on M&A, and...