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How should an agent (the sender) observing multi-dimensional data (the state vector) persuade another agent to take the desired action? We show that it is always optimal for the sender to perform a (non-linear) dimension reduction by projecting the state vector onto a lower-dimensional object...
Persistent link: https://www.econbiz.de/10012799529
We study a sequential-learning model featuring a network of naive agents with Gaussian information structures. Agents … disproportionately influential early agents who can cause herding on incorrect actions. Going beyond existing social-learning results, we …
Persistent link: https://www.econbiz.de/10012308406
We develop a dynamic framework of strategic information transmission through cheap talk in a social network. Privately informed agents have different preferences about the action to be implemented by each agent and repeatedly communicate with their neighbors in the network. We first characterize...
Persistent link: https://www.econbiz.de/10012020319
. If signaling reveals information about its cost which can be used in future trades, how does learning affect signaling … incentives and the informativeness of signals for buyers? Learning can reduce the value of signaling by introducing noisiness in … properties of equilibria in which intermediate seller's types experiment with signaling. These experimental signaling equilibria …
Persistent link: https://www.econbiz.de/10012933976
We study learning by privately informed forward-looking agents in a simple repeated-action setting of social learning …
Persistent link: https://www.econbiz.de/10014263855
? We model dynamic hiring and employer learning via a general Poisson multi-armed bandit framework. Breakdown environments …
Persistent link: https://www.econbiz.de/10013168156
depends on a fixed unknown state of nature. Each short-run player inherits the beliefs of his immediate predecessor in …
Persistent link: https://www.econbiz.de/10014038672
This paper proposes a model of learning about a game. Players initially have little knowledge about the game. Through …. Results of computer simulations show (1) when all the players are slow in learning the game, they have only a partial … the players is quick in learning the game, he obtains a higher payoff than the others. However, all of them can receive …
Persistent link: https://www.econbiz.de/10014222361
This paper presents a model of learning about a game. Players initially have little knowledge about the game. Through … computer simulations show that (1) when all the players are slow at learning the game, they have only a partial understanding … is quick in learning the game, that player obtains a higher payoff than the others. However, all can receive lower …
Persistent link: https://www.econbiz.de/10014182224
We introduce learning in a dynamic game of international pollution, with ecological uncertainty. We characterize and … ecological uncertainty but they gain information (learn) about it. We then compare our learning model with the benchmark model of … anticipative learning induces a decrease in total emissions, but not necessarily in individual emissions. Further, the effect of …
Persistent link: https://www.econbiz.de/10013050176