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Learning With Heterogeneous Misspecified Models: Characterization and Robustness

Citations

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Cited by:

  1. Larry Samuelson & Jakub Steiner, 2024. "Robust latent data representations," ECON - Working Papers 460, Department of Economics - University of Zurich, revised Jul 2025.
  2. Daria Fedyaeva & Georgy Lukyanov & Hannah Tolli'e, 2025. "Learning to Unlearn: Education as a Remedy for Misspecified Beliefs," Papers 2510.24735, arXiv.org.
  3. Giacomo Lanzani, 2025. "Dynamic Concern for Misspecification," Econometrica, Econometric Society, vol. 93(4), pages 1333-1370, July.
  4. Jehiel, Philippe & Mohlin, Erik, 2021. "Cycling and Categorical Learning in Decentralized Adverse Selection Economies," Working Papers 2021:11, Lund University, Department of Economics.
  5. Ignacio Esponda & Emanuel Vespa & Sevgi Yuksel, 2024. "Mental Models and Learning: The Case of Base-Rate Neglect," American Economic Review, American Economic Association, vol. 114(3), pages 752-782, March.
  6. Benjamin Christoffersen & Arvid Hoffmann & Zwetelina Iliewa & Lena Jaroszek, 2025. "Experience Effects on Wall Street vs. Main Street: Field and Lab Evidence of Context Dependence," CRC TR 224 Discussion Paper Series crctr224_2025_684, University of Bonn and University of Mannheim, Germany.
  7. Luca Braghieri, 2023. "Biased Decoding and the Foundations of Communication," CESifo Working Paper Series 10432, CESifo.
  8. Pearce, Graeme & Grosskopf, Brit, 2025. "Evidence and perceptions of discrimination in restaurants," Journal of Economic Behavior & Organization, Elsevier, vol. 238(C).
  9. Ing-Haw Cheng & Alice Hsiaw, 2023. "Bayesian Doublespeak," Working Papers 135, Brandeis University, Department of Economics and International Business School.
  10. Allen Vong, 2026. "The Topology of Reputation Effects," Papers 2605.17090, arXiv.org, revised Jun 2026.
  11. Florian Brandl & Wanying Huang & Atulya Jain, 2026. "On the Inefficiency of Social Learning," Papers 2602.08812, arXiv.org.
  12. Philippe Jehiel & Erik Mohlin, 2023. "Categorization in Games: A Bias-Variance Perspective," Working Papers halshs-04154272, HAL.
  13. He, Kevin & Libgober, Jonathan, 2025. "Misspecified learning and evolutionary stability," Journal of Economic Theory, Elsevier, vol. 230(C).
  14. Mira Frick & Ryota Iijima & Yuhta Ishii, 2018. "Dispersed Behavior and Perceptions in Assortative Societies," Cowles Foundation Discussion Papers 2128R3, Cowles Foundation for Research in Economics, Yale University, revised Jun 2022.
  15. Gagnon-Bartsch, Tristan & Bushong, Benjamin, 2022. "Learning with misattribution of reference dependence," Journal of Economic Theory, Elsevier, vol. 203(C).
  16. Hossain, Tanjim & Okui, Ryo, 2024. "Belief formation under signal correlation," Games and Economic Behavior, Elsevier, vol. 146(C), pages 160-183.
  17. Benjamin Bushong & Tristan Gagnon-Bartsch, 2024. "Failures in Forecasting: An Experiment on Interpersonal Projection Bias," Management Science, INFORMS, vol. 70(12), pages 8735-8752, December.
  18. Zikai Xu, 2022. "Observational Learning with Competitive Prices," Papers 2202.06425, arXiv.org, revised May 2022.
  19. Mueller-Frank, Manuel, 2024. "As strong as the weakest node: The impact of misinformation in social networks," Journal of Economic Theory, Elsevier, vol. 215(C).
  20. Jia, Chengcheng & Wu, Jing Cynthia, 2023. "Average inflation targeting: Time inconsistency and ambiguous communication," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 69-86.
  21. Chen, Jaden Yang, 2022. "Biased learning under ambiguous information," Journal of Economic Theory, Elsevier, vol. 203(C).
  22. Ignacio Esponda & Demian Pouzo, 2026. "Learning and Equilibrium under Model Misspecification," Papers 2601.09891, arXiv.org.
  23. Fudenberg, Drew & Gao, Ying & Pei, Harry, 2022. "A reputation for honesty," Journal of Economic Theory, Elsevier, vol. 204(C).
  24. Simon Board & Moritz Meyer‐ter‐Vehn, 2021. "Learning Dynamics in Social Networks," Econometrica, Econometric Society, vol. 89(6), pages 2601-2635, November.
  25. Jan Hanousek Jr. & Jan Hanousek & Konstantin Sokolov, 2023. "X Bots and Earnings Announcements," MENDELU Working Papers in Business and Economics 2023-92, Mendel University in Brno, Faculty of Business and Economics.
  26. Sebastian Bervoets & Mathieu Faure & Ludovic Renou, 2025. "Non-Bayesian Learning in Misspecied Models," AMSE Working Papers 2513, Aix-Marseille School of Economics, France.
  27. Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R2, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
  28. Cuimin Ba, 2021. "Robust Misspecified Models and Paradigm Shifts," Papers 2106.12727, arXiv.org, revised Aug 2023.
  29. Tristan Gagnon-Bartsch & Antonio Rosato, 2024. "Quality Is in the Eye of the Beholder: Taste Projection in Markets with Observational Learning," American Economic Review, American Economic Association, vol. 114(11), pages 3746-3787, November.
  30. Clyde, Alexander, 2025. "Proxy variables and feedback effects in decision making," Games and Economic Behavior, Elsevier, vol. 153(C), pages 408-429.
  31. Lin, Po-Hsuan & Palfrey, Thomas R., 2024. "Cognitive hierarchies for games in extensive form," Journal of Economic Theory, Elsevier, vol. 220(C).
  32. Navin Kartik & SangMok Lee & Tianhao Liu & Daniel Rappoport, 2024. "Beyond Unbounded Beliefs: How Preferences and Information Interplay in Social Learning," Econometrica, Econometric Society, vol. 92(4), pages 1033-1062, July.
  33. Ba, Cuimin & Gindin, Alice, 2023. "A multi-agent model of misspecified learning with overconfidence," Games and Economic Behavior, Elsevier, vol. 142(C), pages 315-338.
  34. Bohnet, Iris & Hauser, Oliver P. & Kristal, Ariella S., 2025. "Can gender and race dynamics in performance appraisals be disrupted? The case of social influence," Journal of Economic Behavior & Organization, Elsevier, vol. 235(C).
  35. Wanying Huang, 2024. "Learning about informativeness," Papers 2406.05299, arXiv.org, revised Jun 2025.
  36. Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R3, Cowles Foundation for Research in Economics, Yale University, revised Apr 2022.
  37. Tanvir Ahmed Khan, 2023. "Can Unbiased Predictive AI Amplify Bias?," Working Paper 1510, Economics Department, Queen's University.
  38. Le Yaouanq, Yves, 2023. "A model of voting with motivated beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 394-408.
  39. Fudenberg, Drew & Lanzani, Giacomo, 2023. "Which misspecifications persist?," Theoretical Economics, Econometric Society, vol. 18(3), July.
  40. Chad Kendall & Ryan Oprea, 2024. "On the complexity of forming mental models," Quantitative Economics, Econometric Society, vol. 15(1), pages 175-211, January.
  41. Braz Camargo & Laura Karpuska & Caio Lorecchio, 2023. "Political Accountability and Misinformation," UB School of Economics Working Papers 2023/460, University of Barcelona School of Economics.
  42. Mira Frick & Ryota Iijima & Yuhta Ishii, 2018. "Dispersed Behavior and Perceptions in Assortative Societies," Cowles Foundation Discussion Papers 2128, Cowles Foundation for Research in Economics, Yale University.
  43. Fudenberg, Drew & Lanzani, Giacomo & Strack, Philipp, 2023. "Pathwise concentration bounds for Bayesian beliefs," Theoretical Economics, Econometric Society, vol. 18(4), November.
  44. Abhijit Banerjee & Olivier Compte, 2024. "Consensus and Disagreement: Information Aggregation under (Not So) Naive Learning," Journal of Political Economy, University of Chicago Press, vol. 132(8), pages 2790-2829.
  45. Martti Kaila, 2024. "How Do People React to Income-Based Fines? Evidence from Speeding Tickets Discontinuities," CESifo Working Paper Series 11064, CESifo.
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