We describe the effect of social media advertising content on customer engagement using data from Facebook. We content-code 106,316 Facebook messages across 782 companies, using a combination of Amazon Mechanical Turk and Natural Language Processing algorithms. We use this dataset to study the...

We investigate the impact of collaborative filtering recommender algorithms (e.g., Amazon’s “Customers who bought this item also bought”) commonly used in e-commerce on sales diversity. We use data from a randomized field experiment run on the website of a top retailer in North America...

The erosion of high-end fashion brands by fast fashion copycats (e.g., Zara, H&M) has provoked ongoing controversies and unceasing legal attempts to copyright fashion designs. Despite this tension around the enforcement of copyrights and the purported negative impact of copycats, the effect of...

We examine whether and how ride-sharing services influence the demand for home-sharing services. Our identification strategy hinges on a natural experiment where Uber/Lyft exited Austin in May 2016 in response to new regulations. On a 12-month longitudinal data spanning 11,423 Airbnb properties,...