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”...

Previous research on Frequent Flyer Programs (FFP) covered various topics, from analyzing the effect of international airline alliances on domestic travel demand to the effect of airport dominance and FFP on pricing. However, one important constraint in previous empirical research on FFP is the...

In this paper we solve a parametric moral hazard model that incorporates risk and inequity aversion. In the model, the worker's effort is not contractible but the employer can link the worker's compensation to the revenue, a measure probabilistically related to the effort. The model can account...

We experimentally test an endogenous-timing investment model in which subjects privately observe their cost of investing and a signal correlated with the common investment return. Subjects overinvest, relative to Nash. We separately consider whether subjects draw inferences, in hindsight, and...

We use a second-price common-value auction, the maximal game, to experimentally study whether the Winner’s Curse (WC) can be explained by models which retain best-response behavior but allow for inconsistent beliefs. In the maximal game, the WC can be rationalized only by a belief that others...

Standard auctions are known to be a revenue-maximizing way to sell an object under broad conditions when buyers are symmetric and have independent private valuations. We show that when buyers have interdependent valuations, auctions may lose their advantage, even if symmetry and independence of...