We study an e-commerce platform’s incentives to delist IP-infringing products and the effects of introducing a liability regime that induces the platform to increase its screening intensity. We identify conditions under which platform liability is socially desirable (respectively, undesirable)...

This paper analyzes the effects of tying arrangements on market competition and social welfare in two-sided markets when economic agents can engage in multi-homing; that is, they can participate in multiple platforms in order to reap maximal network benefits. The model shows that tying induces...

We analyze algorithmic pricing on Bol.com, the largest online marketplace in the Netherlands and Belgium. Based on more than two months of pricing data for around 2,800 popular products, we find that algorithmic sellers can both increase and reduce the price of the Buy Box (the most prominently...

This project evaluates the optimal transport network in North America by first analyzing the proposed $25 billion merger between the Canadian Pacific Railway and the Kansas City Southern Railway. Then this project studies different sequences of mergers and find the optimal path of mergers to...

In this paper, we build a theoretical model in which an online hosting platform can develop a copyright filter to screen content that contributors wish to upload. The technology is imprecise, since non-infringing material may be incorrectly filtered out. Once the content is hosted on the...

We study how organizational boundaries affect pricing decisions using comprehensive data provided by a large U.S. airline. We show that contrary to prevailing theories of the firm, advanced pricing algorithms have multiple biases. To quantify the impacts of these biases, we estimate a structural...

Marketers often utilize social media influencers to reach audiences with more authentic and credible messaging. While some influencers are prudent and carefully test products before promoting them, many others are shallow and merely post the marketer messaging as is. We analyze the impact of...

This empirical research investigates the impact of an aggressive growth strategy used by delivery platforms to add restaurants to their platforms without restaurants' consent. Although these platforms provide a valuable option to consumers to access restaurant services, they experience strong...

The aim of this research is to analyze whether and when ratings are informative signals about the quality of movies. The ratings data of Netflix is used to fit a structural Bayesian learning model. This model links revealed experience utilities of raters, previous consumers, to the product...

The U.S. spectrum licenses cover geographically distinct areas and are often complementary to each other. A bidder seeking to acquire multiple licenses is then exposed to risks of winning only isolated patches. To allocate licenses more efficiently, the Federal Communications Commission allowed...