Production takes time, and labor supply and profit maximization decisions that relate to current production are typically made before all shocks affecting that production have been realized. In this paper we re-examine the problem of stochastic optimal growth with aggregate risk where the timing...

The literature on minimum effort game has been concerned with a symmetric game with linear payoff functions. The main aim of the present paper is to study the coordination problem arising in a not necessarily symmetric minimum effort game with two players. The sources of asymmetry can be...

Motivated by the desire to bridge the gap between the microscopic description of price formation (agent-based modeling) and the stochastic differential equations approach used classically to describe price evolution at macroscopic time scales, we present a mathematical study of the order book as...

The clearing of forests for agricultural land and other marketable purposes is a well-trodden path of economic development. With these private benefits from deforestation come external costs: emissions from deforestation currently account for 12 per cent of global carbon emissions. A widespread...

It is a very well-known result that in terms of evolutionary stability the long-run outcome of a Cournot oligopoly market with finitely many firms approaches the perfectly competitive Walrasian market outcome (Vega-Redondo, 1997). However, in this paper we show that an asymmetric structure in...

Social norms are patterns of behavior that are self-enforcing at the group level: everyone wants to conform when they expect everyone else to conform.  There are multiple mechanisms that sustain social norms, including a desire to coordinate, fear of being sanctioned, signaling membership in...

We study evolutionary dynamics in assignment games where many agents interact anonymously at virtually no cost.  The process is decentralized, very little information is available and trade takes place at many different prices simultaneously.  We propose a completely uncoupled learning process...

In this paper, we consider situations where agents face repeatedly the same decision problem. We focus on adaptive rules without beliefs. We distinguish between two kinds of models. Firstly, we study adaptive rules that are only based on private information. Decisions are made on the basis of...

This paper presents results on stochastic stability in evolutionary game theory. We will see that imitation processes with bounded memory and sampling (Josephson, Matros, 2004) select Pareto outcomes whereas Fictitious Play processes with bounded memory select risk-dominant outcomes in the sense...

In this paper we consider the stochastic sequence {Pt}E N defined recursively by the linear relation Pt+1 = At Pt + Bt in a random environment which is described by the non-stationary process V = {(At, Bt) t E N.. We formulate sufficient conditions on v which ensure that the finite-dimensional...