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Dynamic Choices and Common Learning

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  • Rahul Deb
  • Ludovic Renou

Abstract

A researcher observes a finite sequence of choices made by multiple agents in a binary-state environment. Agents maximize expected utilities that depend on their chosen alternative and the unknown underlying state. Agents learn about the time-varying state from the same information and their actions change because of the evolving common belief. The researcher does not observe agents' preferences, the prior, the common information and the stochastic process for the state. We characterize the set of choices that are rationalized by this model and generalize the information environments to allow for private information. We discuss the implications of our results for uncovering discrimination and committee decision making.

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  • Rahul Deb & Ludovic Renou, 2021. "Dynamic Choices and Common Learning," Papers 2105.03683, arXiv.org.
    • Handle: RePEc:arx:papers:2105.03683
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    Cited by:

    1. Christopher Turansick, 2023. "Random Utility, Repeated Choice, and Consumption Dependence," Papers 2302.05806, arXiv.org, revised Oct 2023.
    2. Mark Whitmeyer & Cole Williams, 2024. "Dynamic Signals," Papers 2407.16648, arXiv.org.

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