A successful speculative attack against one currency is a wake-up call for speculators elsewhere. Currency speculators have an incentive to acquire costly information about exposures across countries to infer whether their monetary authority's ability to defend its currency is weakened....

We study firms' incentives to acquire private information in a setting where subsequent competition leads to firms' later signaling their private information to rivals. Due to signaling, equilibrium prices are distorted, and so while firms benefit from obtaining more precise private information,...

We study firms' incentives to acquire private information on cost in a duopoly signaling game. Firms first choose how much to invest in information acquisition and then engage in dynamic price competition. In equilibrium firms acquire too little information from the perspective of industry...

We have experimentally tested a theory of bounded rational behavior in a "lemon market". It provides an explanation for the observation that real world players successfully conclude transactions when perfect rationality predicts a market collapse. We analyzed two different market designs :...

In this paper we experimentally test a theory of boundedly rational behavior in a "lemons market." We analyzed two different market designs, for which perfect rationality implies complete and partial market collapse, respectively. Our empirical observations deviate substantially from these...

This paper examines the ability of a policy maker to control equilibrium outcomes in a global coordination game; applications include currency attacks, bank runs, and debt crises. A unique equilibrium is known to survive when the policy is exogenously fixed. We show that, by conveying...

Global games of regime change that is, coordination games of incomplete information in which a status quo is abandoned once a sufficiently large fraction of agents attacks it have been used to study crises phenomena such as currency attacks, bank runs, debt crises, and political change. We...

Various approaches used in Agent-based Computational Economics (ACE) to model endogenously determined interactions between agents are discussed. This concerns models in which agents not only (learn how to) play some (market or other) game, but also (learn to) decide with whom to do that (or not).

We consider a simple model that combines elements of search and social learning. Acting in sequence, and observing the action adopted by a previous agent, agents must search for an action. We explore why agent heterogeneity may increase expected payoffs and demonstrate that social learning may...

A theoretical model is adopted in order to explain incentives and actual safety behaviour for drivers, pedestrians and other road users which do not utilise motorised vehicles. A road user's outcome is supposed to be dependent on her individual actions and cares decided upon by other individuals...