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Informational herding with model misspecification
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Cited by:
- 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.
- Frick, Mira & , & Ishii, Yuhta, 2021. "Belief Convergence under Misspecified Learning: A Martingale Approach," CEPR Discussion Papers 16788, C.E.P.R. Discussion Papers.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
- Penczynski, Stefan P., 2017. "The nature of social learning: Experimental evidence," European Economic Review, Elsevier, vol. 94(C), pages 148-165.
- Arieli, Itai & Babichenko, Yakov & Müller, Stephan & Pourbabaee, Farzad & Tamuz, Omer, 0. "The hazards and benefits of condescension in social learning," Theoretical Economics, Econometric Society.
- Paul Heidhues & Botond KH{o}szegi & Philipp Strack, 2019. "Overconfidence and Prejudice," Papers 1909.08497, arXiv.org.
- Razin, Ronny & Levy, Gilat, 2020. "Combining forecasts in the presence of ambiguity over correlation structures," LSE Research Online Documents on Economics 104641, London School of Economics and Political Science, LSE Library.
- 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.
- Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2017. "Information redundancy neglect versus overconfidence: a social learning experiment," CeMMAP working papers CWP32/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2019. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," PSE Working Papers halshs-02183322, HAL.
- Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," PSE-Ecole d'économie de Paris (Postprint) halshs-03325779, HAL.
- Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2017. "Information redundancy neglect versus overconfidence: a social learning experiment," CeMMAP working papers 32/17, Institute for Fiscal Studies.
- Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2019. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," Working Papers halshs-02183322, HAL.
- Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," Post-Print halshs-03325779, HAL.
- Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2018. "Information redundancy neglect versus overconfidence: a social learning experiment," CeMMAP working papers CWP63/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Erol Akçay & David Hirshleifer, 2021.
"Social finance as cultural evolution, transmission bias, and market dynamics,"
Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(26), pages 2015568118-, June.
- Erol Akcay & David Hirshleifer, 2020. "Social Finance: Cultural Evolution, Transmission Bias and Market Dynamics," NBER Working Papers 27745, National Bureau of Economic Research, Inc.
- Germano, Fabrizio & Sobbrio, Francesco, 2020.
"Opinion dynamics via search engines (and other algorithmic gatekeepers),"
Journal of Public Economics, Elsevier, vol. 187(C).
- Fabrizio Germano & Francesco Sobbrio, 2016. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Economics Working Papers 1552, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2018.
- Fabrizio Germano & Francesco Sobbrio, 2017. "Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers)," Working Papers 962, Barcelona School of Economics.
- Fabrizio Germano & Francesco Sobbrio, 2018. "Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers)," Papers 1810.06973, arXiv.org, revised Oct 2018.
- Fabrizio Germano & Francesco Sobbrio, 2017. "Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers)," CESifo Working Paper Series 6541, CESifo.
- Bogaçhan Çelen & Sen Geng & Huihui Li, 2018.
"Belief Error and Non-Bayesian Social Learning: An Experimental Evidence,"
GRU Working Paper Series
GRU_2018_022, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
- Boğaçhan Çelen & Sen Geng & Huihui Li, 2019. "Belief Error and Non-Bayesian Social Learning: Experimental Evidence," Working Papers 2019-07-08, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Bou{g}ac{c}han c{C}elen & Sen Geng & Huihui Li, 2020. "Belief Error and Non-Bayesian Social Learning: Experimental Evidence," Papers 2011.09640, arXiv.org.
- Cuimin Ba, 2021. "Robust Misspecified Models and Paradigm Shifts," Papers 2106.12727, arXiv.org, revised Aug 2023.
- Philippe Jehiel, 2022.
"Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond,"
Working Papers
halshs-03735680, HAL.
- Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," PSE Working Papers halshs-03735680, HAL.
- Esponda, Ignacio & Pouzo, Demian & Yamamoto, Yuichi, 2021. "Asymptotic behavior of Bayesian learners with misspecified models," Journal of Economic Theory, Elsevier, vol. 195(C).
- Kevin He & Jonathan Libgober, 2020.
"Evolutionarily Stable (Mis)specifications: Theory and Applications,"
Papers
2012.15007, arXiv.org, revised Feb 2023.
- Kevin He & Jonathan Libgober, 2021. "Evolutionarily Stable (Mis)specifications:Theory and Applications," PIER Working Paper Archive 21-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- 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.
- Dasaratha, Krishna & He, Kevin, 2020.
"Network structure and naive sequential learning,"
Theoretical Economics, Econometric Society, vol. 15(2), May.
- Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.
- 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.
- Gagnon-Bartsch, Tristan & Rosato, Antonio, 2022. "Quality is in the eye of the beholder: taste projection in markets with observational learning," MPRA Paper 115426, University Library of Munich, Germany.
- Drew Fudenberg & Giacomo Lanzani & Philipp Strack, 2021. "Limit Points of Endogenous Misspecified Learning," Econometrica, Econometric Society, vol. 89(3), pages 1065-1098, May.
- Itai Arieli & Fedor Sandomirskiy & Rann Smorodinsky, 2020. "On social networks that support learning," Papers 2011.05255, arXiv.org.
- Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2024.
"Information Cascades and Social Learning,"
Journal of Economic Literature, American Economic Association, vol. 62(3), pages 1040-1093, September.
- Bikhchandani, Sushil & Hirshleifer, David & Tamuz, Omer & Welch, Ivo, 2021. "Information Cascades and Social Learning," MPRA Paper 107927, University Library of Munich, Germany.
- Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2021. "Information Cascades and Social Learning," NBER Working Papers 28887, National Bureau of Economic Research, Inc.
- Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2021. "Information Cascades and Social Learning," Papers 2105.11044, arXiv.org.
- Wang, Hailong & Hu, Duni, 2021. "Heterogeneous beliefs with herding behaviors and asset pricing in two goods world," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- 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.
- José Luis Montiel Olea & Pietro Ortoleva & Mallesh Pai & Andrea Prat, 2021. "Competing Models," Working Papers 2021-89, Princeton University. Economics Department..
- Jose Luis Montiel Olea & Pietro Ortoleva & Mallesh M Pai & Andrea Prat, 2019.
"Competing Models,"
Papers
1907.03809, arXiv.org, revised Nov 2021.
- Prat, Andrea & Montiel Olea , José Luis & Ortoleva, Pietro & Pai, Mallesh, 2019. "Competing Models," CEPR Discussion Papers 14066, C.E.P.R. Discussion Papers.
- Levy, Gilat & Razin, Ronny, 2019. "Echo chambers and their effects on economic and political outcomes," LSE Research Online Documents on Economics 101413, London School of Economics and Political Science, LSE Library.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020.
"Misinterpreting Others and the Fragility of Social Learning,"
Econometrica, Econometric Society, vol. 88(6), pages 2281-2328, November.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2019. "Misinterpreting Others and the Fragility of Social Learning," Cowles Foundation Discussion Papers 2160R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2020.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2019. "Misinterpreting Others and the Fragility of Social Learning," Cowles Foundation Discussion Papers 2160, Cowles Foundation for Research in Economics, Yale University.
- 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.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Stability and Robustness in Misspecified Learning Models," Cowles Foundation Discussion Papers 2235, Cowles Foundation for Research in Economics, Yale University.
- Levy, Gilat & Razin, Ronny, 2022. "Combining forecasts in the presence of ambiguity over correlation structures," Journal of Economic Theory, Elsevier, vol. 199(C).
- Schwarz, Marco A., 2017. "The Impact of Social Media On Belief Formation," Rationality and Competition Discussion Paper Series 57, CRC TRR 190 Rationality and Competition.
- Fernández-Duque, Mauricio, 2022. "The probability of pluralistic ignorance," Journal of Economic Theory, Elsevier, vol. 202(C).
- Stephanie de Mel & Kaivan Munshi & Soenje Reiche & Hamid Sabourian, 2020. "Herding in Quality Assessment: An Application to Organ Transplantation," IFS Working Papers W20/22, Institute for Fiscal Studies.
- Ignacio Esponda & Demian Pouzo & Yuichi Yamamoto, 2019. "Asymptotic Behavior of Bayesian Learners with Misspecified Models," Papers 1904.08551, arXiv.org, revised Oct 2019.
- David Hirshleifer, 2020. "Presidential Address: Social Transmission Bias in Economics and Finance," Journal of Finance, American Finance Association, vol. 75(4), pages 1779-1831, August.
- Chaofa Wang & Dongdong Li & Qing Liu & Xiaorong Wei, 2023. "Speed distribution model, expectation speed of the system and aggregation behaviour for traffic congestion," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2175-2185, June.
- J. Aislinn Bohren & Daniel N. Hauser, 2021. "Learning With Heterogeneous Misspecified Models: Characterization and Robustness," Econometrica, Econometric Society, vol. 89(6), pages 3025-3077, November.
- Fudenberg, Drew & Lanzani, Giacomo, 2023. "Which misspecifications persist?," Theoretical Economics, Econometric Society, vol. 18(3), July.
- Li, Wei & Tan, Xu, 2020. "Locally Bayesian learning in networks," Theoretical Economics, Econometric Society, vol. 15(1), January.
- Christoph March & Anthony Ziegelmeyer, 2018. "Excessive Herding in the Laboratory: The Role of Intuitive Judgments," CESifo Working Paper Series 6855, CESifo.
- Gagnon-Bartsch, Tristan & Bushong, Benjamin, 2022. "Learning with misattribution of reference dependence," Journal of Economic Theory, Elsevier, vol. 203(C).
- Itai Arieli & Yakov Babichenko & Stephan Muller & Farzad Pourbabaee & Omer Tamuz, 2023. "The Hazards and Benefits of Condescension in Social Learning," Papers 2301.11237, arXiv.org, revised Feb 2024.
- Bohren, Aislinn & Hauser, Daniel, 2017.
"Learning with Heterogeneous Misspecified Models: Characterization and Robustness,"
CEPR Discussion Papers
12036, C.E.P.R. Discussion Papers.
- J. Aislinn Bohren & Daniel N. Hauser, 2021. "Learning with Heterogeneous Misspecfied Models: Characterization and Robustness," PIER Working Paper Archive 21-005, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- 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.
- Stephanie De Mel & Kaivan Munshi & Soenje Reiche & Hamid Sabourian, 2021. "Herding with Heterogeneous Ability: An Application to Organ Transplantation," Cowles Foundation Discussion Papers 2308, Cowles Foundation for Research in Economics, Yale University.
- Bowen, T. Renee & Galperti, Simone & Dmitriev, Danil, 2021. "Learning from Shared News: When Abundant Information Leads to Belief Polarization," CEPR Discussion Papers 15789, C.E.P.R. Discussion Papers.
- Chen, Jaden Yang, 2022. "Biased learning under ambiguous information," Journal of Economic Theory, Elsevier, vol. 203(C).