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Learning With Heterogeneous Misspecified Models: Characterization and Robustness

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Publication:3390577
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DOI10.3982/ECTA15318zbMath1485.91172OpenAlexW3213437036MaRDI QIDQ3390577

J. Aislinn Bohren, Daniel N. Hauser

Publication date: 24 March 2022

Published in: Econometrica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3982/ecta15318


zbMATH Keywords

convergencerobustnesssocial learningmodel misspecificationindividual learning


Mathematics Subject Classification ID

Social learning (91D15)


Related Items (8)

Learning with misattribution of reference dependence ⋮ Biased learning under ambiguous information ⋮ A reputation for honesty ⋮ Mislearning from censored data: The gambler's fallacy and other correlational mistakes in optimal‐stopping problems ⋮ Which misspecifications persist? ⋮ As strong as the weakest node: the impact of misinformation in social networks ⋮ A multi-agent model of misspecified learning with overconfidence ⋮ Pathwise concentration bounds for Bayesian beliefs







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