Before revision: We study a sequential learning model featuring naive agents on a network . Agents wrongly believe their predecessors act solely on private information, so they neglect redundancies among observed actions.
After revision: We study a sequential learning model featuring a network of naive agents with Gaussian information structures . Agents wrongly believe their predecessors act solely on private information, so they neglect redundancies among observed actions.