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Open Access Publications from the University of California

Essays on Reputation and Learning in Markets and Networks

  • Author(s): Zhang, Simpson
  • Advisor(s): Meyer-ter-Vehn, Moritz
  • et al.
Abstract

This dissertation addresses key topics in the economic study of reputation and learning. Many real world interactions occur among agents who are only partially informed about the qualities of other agents. Therefore the agents must learn about each other over time as they interact. Over time, as more information is learned, a reputation will develop for an agent, and this reputation will inform the decisions of other agents to interact with them. Thus understanding the nature and impact of reputational effects in dynamic settings is crucial in developing more realistic models of the world.

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