Most of the theoretical work on collusion and price wars assumes identical firms and an unchanging environment, assumptions which are at odds with what we know about most industries. Further that literature focuses on the impact of collusion on prices. Whether an industry can support collusion...

Most of the theoretical work on collusion and price wars assumes identical firms and an unchanging environment, assumptions which are at odds with what we know about most industries. Further that literature focuses on the impact of collusion on prices. Whether an industry can support collusion...

We present a simple algorithm for computing an intuitive notion of MPE for finite state dynamic games with asymmetric information. The algorithm does not require: storage and updating of posterior distributions, explicit integration over possible future states to determine continuation values,...

We investigate the impact of information sharing between rivals in a dynamic auction with asymmetric information. Firms bid in sequential auctions to obtain inputs. Their inventory of inputs, determined by the results of past auctions, are privately known state variables that determine bidding...

Most of the theoretical work on collusion and price wars assumes identical firms and an unchanging environment, assumptions which are at odds with what we know about most industries. Further that literature focuses on the impact of collusion on prices. Whether an industry can support collusion...

The behavior of artificial intelligences algorithms (AIAs) is shaped by how they learn about their environment. We compare the prices generated by AIAs that use different learning protocols when there is market interaction. Asynchronous learning occurs when the AIA only learns about the return...