IDEAS home Printed from https://ideas.repec.org/r/aea/aejmic/v2y2010i4p221-43.html
   My bibliography  Save this item

Naïve Herding in Rich-Information Settings

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Asanov, Igor, 2021. "Bandit cascade: A test of observational learning in the bandit problem," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 150-171.
  2. Penczynski, Stefan P., 2017. "The nature of social learning: Experimental evidence," European Economic Review, Elsevier, vol. 94(C), pages 148-165.
  3. J. Daniel Aromí, 2017. "Conventional views and asset prices: What to expect after times of extreme opinions," Journal of Applied Economics, Universidad del CEMA, vol. 20, pages 49-73, May.
  4. Greiff, Matthias & Paetzel, Fabian, 2020. "Information about average evaluations spurs cooperation: An experiment on noisy reputation systems," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 334-356.
  5. Jaqueson K. Galimberti & Nicolas Suhadolnik & Sergio Silva, 2017. "Cowboying Stock Market Herds with Robot Traders," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 393-423, October.
  6. Cheng, Ing-Haw & Hsiaw, Alice, 2022. "Distrust in experts and the origins of disagreement," Journal of Economic Theory, Elsevier, vol. 200(C).
  7. Glaeser, Edward L. & Nathanson, Charles G., 2017. "An extrapolative model of house price dynamics," Journal of Financial Economics, Elsevier, vol. 126(1), pages 147-170.
  8. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 13(3), pages 163-197, August.
  9. Antony Millner & Hélène Ollivier, 2016. "Beliefs, Politics, and Environmental Policy," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 226-244.
  10. Khandelwal, Vatsal, 2024. "Learning in networks with idiosyncratic agents," Games and Economic Behavior, Elsevier, vol. 144(C), pages 225-249.
  11. Melissa Newham & Rune Midjord, 2019. "Do Expert Panelists Herd? Evidence from FDA Committees," Discussion Papers of DIW Berlin 1825, DIW Berlin, German Institute for Economic Research.
  12. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
  13. Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," Working Papers halshs-03735680, HAL.
  14. Esponda, Ignacio & Pouzo, Demian & Yamamoto, Yuichi, 2021. "Asymptotic behavior of Bayesian learners with misspecified models," Journal of Economic Theory, Elsevier, vol. 195(C).
  15. Aislinn Bohren & Daniel Hauser, 2017. "Bounded Rationality And Learning: A Framwork and A Robustness Result," PIER Working Paper Archive 17-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 May 2017.
  16. J. Daniel Aromí, 2018. "GDP growth forecasts and information flows: Is there evidence of overreactions?," International Finance, Wiley Blackwell, vol. 21(2), pages 122-139, June.
  17. Lin, Po-Hsuan & Palfrey, Thomas R., 2024. "Cognitive hierarchies for games in extensive form," Journal of Economic Theory, Elsevier, vol. 220(C).
  18. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
  19. Levy, Gilat & Razin, Ronny, 2018. "Information diffusion in networks with the Bayesian Peer Influence heuristic," LSE Research Online Documents on Economics 86554, London School of Economics and Political Science, LSE Library.
  20. 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.
  21. Kogan, Shimon & Makarov, Igor & Niessner, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," Journal of Financial Economics, Elsevier, vol. 159(C).
  22. Gilat Levy & Ronny Razin, 2017. "The Coevolution of Segregation, Polarized Beliefs, and Discrimination: The Case of Private versus State Education," American Economic Journal: Microeconomics, American Economic Association, vol. 9(4), pages 141-170, November.
  23. Sawa, Ryoji, 2021. "A prospect theory Nash bargaining solution and its stochastic stability," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 692-711.
  24. Ali, S. Nageeb, 2018. "On the role of responsiveness in rational herds," Economics Letters, Elsevier, vol. 163(C), pages 79-82.
  25. Beatriz Benítez-Aurioles, 2022. "The exhaustion of the herding effect in peer-to-peer accommodation," Tourism Economics, , vol. 28(1), pages 27-43, February.
  26. Bohren, J. Aislinn, 2016. "Informational herding with model misspecification," Journal of Economic Theory, Elsevier, vol. 163(C), pages 222-247.
  27. Mesly, Olivier, 2023. "Irrational exuberance and deception — Why markets spin out of control," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
  28. Astier, Nicolas, 2018. "Comparative feedbacks under incomplete information," Resource and Energy Economics, Elsevier, vol. 54(C), pages 90-108.
  29. 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.
  30. Jonathan Zinman, 2014. "Consumer Credit: Too Much or Too Little (or Just Right)?," The Journal of Legal Studies, University of Chicago Press, vol. 43(S2), pages 209-237.
  31. Dasaratha, Krishna & He, Kevin, 2021. "An experiment on network density and sequential learning," Games and Economic Behavior, Elsevier, vol. 128(C), pages 182-192.
  32. Peng, Diefeng & Rao, Yulei & Sun, Xianming & Xiao, Erte, 2025. "Optional disclosure and observational learning," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
  33. Sebastian Fehrler & Baiba Renerte & Irenaeus Wolff, 2020. "Beliefs about Others: A Striking Example of Information Neglect," TWI Research Paper Series 118, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
  34. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
  35. Aleksei Smirnov & Egor Starkov, 2022. "Bad News Turned Good: Reversal under Censorship," American Economic Journal: Microeconomics, American Economic Association, vol. 14(2), pages 506-560, May.
  36. Zhi Da & Xing Huang, 2020. "Harnessing the Wisdom of Crowds," Management Science, INFORMS, vol. 66(5), pages 1847-1867, May.
  37. Meoli, Michele & Vismara, Silvio, 2021. "Information manipulation in equity crowdfunding markets," Journal of Corporate Finance, Elsevier, vol. 67(C).
  38. Gagnon-Bartsch, Tristan & Bushong, Benjamin, 2022. "Learning with misattribution of reference dependence," Journal of Economic Theory, Elsevier, vol. 203(C).
  39. Song, Yangbo & Zhang, Jiahua, 2020. "Social learning with coordination motives," Games and Economic Behavior, Elsevier, vol. 123(C), pages 81-100.
  40. Boortz, Christopher, 2016. "Irrational exuberance and herding in financial markets," SFB 649 Discussion Papers 2016-016, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  41. Levy, Gilat & Razin, Ronny, 2018. "Information diffusion in networks with the Bayesian Peer Influence heuristic," Games and Economic Behavior, Elsevier, vol. 109(C), pages 262-270.
  42. 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).
  43. repec:hum:wpaper:sfb649dp2016-016 is not listed on IDEAS
  44. Saori CHIBA, 2018. "Hidden Profiles and Persuasion Cascades in Group Decision-Making," Discussion papers e-18-001, Graduate School of Economics , Kyoto University.
  45. Stefan P. Penczynski, 2019. "Using machine learning for communication classification," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 1002-1029, December.
  46. Aislinn Bohren & Daniel Hauser, 2018. "Social Learning with Model Misspeciification: A Framework and a Robustness Result," PIER Working Paper Archive 18-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Jul 2018.
  47. Nicolas Astier, 2016. "Comparative Feedbacks under Incomplete Information," Working Papers hal-01465189, HAL.
  48. Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
  49. Ali, S. Nageeb, 2018. "Herding with costly information," Journal of Economic Theory, Elsevier, vol. 175(C), pages 713-729.
  50. Bilancini, Ennio & Boncinelli, Leonardo, 2018. "Rational attitude change by reference cues when information elaboration requires effort," Journal of Economic Psychology, Elsevier, vol. 65(C), pages 90-107.
  51. Kogana, Shimon & Makarov, Igor & Niessnerc, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," LSE Research Online Documents on Economics 122266, London School of Economics and Political Science, LSE Library.
  52. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.