This paper analyzes how learning considerations may influence the pricing behavior of a duopoly facing demand uncertainty. We consider a symmetric duopoly game with product differentiation where firms have imperfect information about some parameters of the market demands. Firm learn about these...

This paper examines the stability of deterministic steady-states with a one dimensional state-variable and a smooth, recursive updating rule. It is shown that the only possibly stable steady states are those associated with random walk beliefs, provided there is motion on a center manifold,...

We study the informational role of prices. To that end, we consider the framework of a dominant firm with a competitive fringe. When the competitive fringe is large enough, there exists a unique fully revealing equilibrium, in which the price conveys full information about the quality of the...

We embed learning (without experimentation) in optimal growth. We extend the Mirman-Zilcha results of stochastic optimal growth to the learning case. We use recursive methods to study the effect of learning on the dynamic program by considering the case of iso-elastic utility and linear...

We study the informational role of prices in a stochastic environment. We provide a closed-form solution of the monopoly problem when the price imperfectly signals quality to the uninformed buyers. We then study the effect of noise on output, market price, information flows, and expected...

We address the issue of risk aversion in a competitive equilibrium when some buyers engage in learning and information is conveyed through the price system. Specifically, since the learning process yields uncertainty, we study the effect of risk aversion on the equilibrium outcomes of the model,...

We study learning in perfect competition. A representative price-taking firm sells a good whose quality is unknown to some buyers. The uninformed buyers use the price to infer information about quality. Even though the firm is a price-taker, information is disseminated though the price. It is...

In models of active learning or experimentation, agents modify their actions to affect the distribution of a signal that provides information about future payoffs. A standard result in the experimentation literature is that agents experiment, if at all, to increase information. This finding is a...

We introduce learning in a Brock-Mirman environment and study the effect of risk generated by the planner's econometric activity on optimal consumption and investment. Here, learning introduces two sources of risk about future payoffs: structural uncertainty and uncertainty from the anticipation...