Current Research


Research focusing on heterogenous agents learning bidding strategies across overlapping sequential auctions for a single unit of a good.  The approach is developing an agent-based computational model of auctions with agents who have multiple learning strategies.  Dr. Yiyan (Echo) Liu and I have a working paper on evidence from tripod auctions.  


Research focusing on Supreme Court citation networks and the perceived versus actual importance of seminal antitrust cases.


Interesting Data and Models

Full list available here.

Last Modified: 2016-01-06