Digital platforms like Uber can enhance market transparency and mitigate moral hazard via ratings of buyers and sellers, real-time monitoring, and low-cost complaint channels. We compare driver choices at Uber with taxis by matching trips so they are subject to the same optimal route. We also...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine...

Quality certification is a common tool to reduce asymmetric information and enhance trust in marketplaces. Should the certificate focus on seller inputs such as fast shipping, or include output measures such as consumer ratings? In theory, incorporating output measures makes the certificate more...

We conducted a nationwide field experiment in China to evaluate the direct and indirect impacts of assigning firms to public or private citizen appeals treatments when they violate pollution standards. There are three main findings. First, public appeals to the regulator through social media...

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...

This paper uses U.S. Toxic Release Inventory data on air lead emissions to provide IV estimates of the effects of air lead concentration on infant mortality. The causal effect of lead on infant mortality is identified by annual variation in air fugitive lead emissions interacted with wind speed...