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We study a sequential-learning model featuring a network of naive agents with Gaussian information structures. Agents …' actions in terms of network paths and use this formula to characterize the set of networks where naive agents eventually learn … expected welfare losses, across network structures. The probability of mislearning increases when link densities are higher and …
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