substantially simplify the inference problem and increase the speed of learning on the part of the agents. However, under certain …

this paper, we study the identification of moral hazard from adverse selection and learning within the context of a multi …-period dynamic model. We extend the model of Abbring et al. (2003) to include learning and insurance coverage choice over time. We … 15 years). Policyholders with less than 5 years of experience have a combination of learning and moral hazard, whereas no …

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 of learning. The latter renders control and learning nonseparable. We present …

, job rank assignments based on comparative advantage and learning about workers' abilities, is implemented empirically to … direct evidence of learning about workers' unobserved abilities but the analysis reveals that unmeasured ability is an …

effect of asymmetric information and learning on the equilibrium outcomes. More uninformed buyers increases the price …

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 …

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 …

observing prices. In a noisy learning environment, price discrimination can be detrimental to the firm and beneficial to the …