This paper presents an empirical micro-simulation model of the teaching and the testing process in the classroomH. It is a non-econometric micro-simulation model describing informational behaviors of the pupils, based on the observation of the pupils’ communication behavior during lessons and...

This paper studies the evolution of peoples' models of how other people think - their theories of mind. First, this is formalized within the level-k model, which postulates a hierarchy of types, such that type k plays a k times iterated best response to the uniform distribution. It is found...

This paper studies the evolution of peoples' models of how other people think - their theories of mind. First, this is formalized within the level-k model, which postulates a hierarchy of types, such that type k plays a k times iterated best response to the uniform distribution. It is found...

This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether positive feedback (i.e., yielding a superior payo in a game) or negative feedback (i.e., yielding an inferior payo in a game) leads to a systematic change in the individual...

Agents in a network want to learn the true state of the world from their own signals and their neighbors' reports. Agents know only their local networks, consisting of their neighbors and the links among them. Every agent is Bayesian with the (possibly misspecified) prior belief that her local...

This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether positive feedback (i.e., yielding a superior payoff in a game) or negative feedback (i.e., yielding an inferior payoff in a game) leads to a systematic change in the individual...

This paper studies the evolution of peoplesʼ models of how other people think – their theories of mind. This is formalized within the level-k model, which postulates a hierarchy of types, such that type k plays a k times iterated best response to the uniform distribution. It is found that,...

This paper considers a model of observational learning in social networks. Every period, the agents observe the actions of their neighbors and their realized outcomes, and they imitate the most successful. First, we study the case where the network has finite population and we show that,...

This paper uses experimental data to analyze how competitive behavior is influenced by coaching and peer observation. We study behavior in a sequential contest, considering information about the effort level of subjects in other contests (observation of peers) and information about the...

Agents in a network want to learn the true state of the world from their own signals and their neighbors' reports. Agents know only their local networks, consisting of their neighbors and the links among them. Every agent is Bayesian with the (possibly misspecified) prior belief that her local...