means of a signaling game which incorporates dynamic enforcement and learning. Interestingly, we show that the ongoing …

This paper introduces an agency relationship into a dynamic game with informational externalities. Two principals …

cause agents to aggregate information through social/observational learning; second, it will decrease the network …

. Simulations with a least squares learning rule show that the one-shot model is a good approximation when the imprecision of …

. Simulations with a least squares learning rule show that the one-shot model is a good approximation when the imprecision of …

(2010). My model allows for an analysis of the effects of firm learning on labor market efficiency in the presence of search … frictions. I find that firm learning increases relative expected earnings in high-ability jobs and, thereby, enhances imitation … priori. Numerical results show that firm learning does not increase labor market efficiency. …

taking an (irreversible) action. We define \textit{asymptotic learning} as the fraction of agents taking the correct action … converging to one as a society grows large. Under truthful communication, we show that asymptotic learning occurs if (and under … ``information hubs'', which receive and distribute a large amount of information. Asymptotic learning therefore requires information …

increase in settlement upon a denial. Thus, ex ante, learning leads to more settlement. Nevertheless, the anticipation of … learning and increased chances of settlement do not affect the initial filing decision …