Recent years have seen extensive investigation of the information aggregation properties of markets. However, relatively little is known about conditions under which a market will aggregate the private information of rational risk averse traders who optimize their portfolios over time; in...

We study learning in a dynamic setting where identical copies of a good are sold over time through a sequence of second price auctions. Each agent in the market has an 'unknown' independent private valuation which determines the distribution of the reward she obtains from the good; for example,...

In a large online market, buyers were given the opportunity to signal their relative preferences over price and quality—first experimentally, then later as the default experience in the market. The possibility of signaling caused substantial sorting by sellers to buyers of the right...

We investigate the role of a class of alternative market structures known as electronic crossing networks or "dark pools''. Relative to traditional "lit'' markets, dark pools offer investors the trade-off of reduced transaction costs in exchange for greater uncertainty of trade. Our paper...

We study optimal pricing strategies for ride-sharing platforms, such as Lyft, Sidecar, and Uber. Analysis of pricing in such settings is complex: On one hand these platforms are two-sided -- this requires economic models that capture the incentives of both drivers and passengers. On the other...