Corpus ID: 2020507

Network Structure and Naive Sequential Learning

@article{Dasaratha2017NetworkSA,
  title={Network Structure and Naive Sequential Learning},
  author={Krishna Dasaratha and Kevin He},
  journal={ArXiv},
  year={2017},
  volume={abs/1703.02105}
}
  • Krishna Dasaratha, Kevin He
  • Published in ArXiv 2017
  • Economics, Computer Science
  • We study a sequential learning model featuring naive agents on a network. The key behavioral assumption is that agents wrongly believe their predecessors act based only on private information, so correlation between observed actions is ignored. We provide a simple linear formula characterizing agents' actions in terms of network paths and use this formula to determine when society eventually learns correctly. Disproportionately influential early agents can cause herding on incorrect beliefs and… CONTINUE READING

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