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Following beliefs or excluding the worst? The role of unfindable state in learning

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  • Mayskaya, Tatiana

Abstract

An agent learns in continuous time from two information sources, each associated with a hypothesis. If a hypothesis is true, the associated source confirms it at a positive rate. False hypotheses are never confirmed. Among the two hypotheses, either exactly one is true or both are false. The agent’s optimal learning strategy has two phases. During the first phase, the agent follows his beliefs; that is, at each moment, he learns from the source associated with the most likely hypothesis according to his current beliefs. During the second phase, he focuses on excluding the least likely but more important hypothesis.

Suggested Citation

  • Mayskaya, Tatiana, 2024. "Following beliefs or excluding the worst? The role of unfindable state in learning," European Economic Review, Elsevier, vol. 162(C).
    • Handle: RePEc:eee:eecrev:v:162:y:2024:i:c:s0014292123002817
    DOI: 10.1016/j.euroecorev.2023.104653
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    References listed on IDEAS

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    1. Nikandrova, Arina & Pancs, Romans, 2018. "Dynamic project selection," Theoretical Economics, Econometric Society, vol. 13(1), January.
    2. Nicolas Klein & Sven Rady, 2011. "Negatively Correlated Bandits," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(2), pages 693-732.
    3. T. Tony Ke & Zuo-Jun Max Shen & J. Miguel Villas-Boas, 2016. "Search for Information on Multiple Products," Management Science, INFORMS, vol. 62(12), pages 3576-3603, December.
    4. Godfrey Keller & Sven Rady & Martin Cripps, 2005. "Strategic Experimentation with Exponential Bandits," Econometrica, Econometric Society, vol. 73(1), pages 39-68, January.
    5. Ke, T. Tony & Villas-Boas, J. Miguel, 2019. "Optimal learning before choice," Journal of Economic Theory, Elsevier, vol. 180(C), pages 383-437.
    6. Forand, Jean Guillaume, 2015. "Keeping your options open," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 47-68.
    7. Yeon-Koo Che & Konrad Mierendorff, 2019. "Optimal Dynamic Allocation of Attention," American Economic Review, American Economic Association, vol. 109(8), pages 2993-3029, August.
    8. Ettore Damiano & Hao Li & Wing Suen, 2020. "Learning While Experimenting," The Economic Journal, Royal Economic Society, vol. 130(625), pages 65-92.
    9. Annie Liang & Xiaosheng Mu & Vasilis Syrgkanis, 2022. "Dynamically Aggregating Diverse Information," Econometrica, Econometric Society, vol. 90(1), pages 47-80, January.
    10. Klein, Nicolas, 2013. "Strategic learning in teams," Games and Economic Behavior, Elsevier, vol. 82(C), pages 636-657.
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    More about this item

    Keywords

    Dynamic information acquisition; Poisson process; Limited attention; Search;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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