Agent-based simulations are performed to study adaptive learning in the context of asymmetric first-price auctions. Non-linearity of the Nash equilibrium strategies is used to investigate the effect of task complexity on adaptive learning by varying the degree of approximation the agents can...

This article explores the effect of a subset of symmetric bidders joining to bid together. Possible applications include mergers, collusion and joint-bidding arrangements. The change produces a “strong” party with a more advantageous value distribution than the remaining “weak”...

We study, theoretically and experimentally, sealed-bid first-price auctions with and without package bidding. In the model, a global bidder bids for multiple items and can benefit from synergies, while local bidders bid for a single item. In the equilibrium, package bidding improves (hurts)...