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A Theory of Non‐Bayesian Social Learning
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Cited by:
- Fernandes, Marcos R., 2023.
"Confirmation bias in social networks,"
Mathematical Social Sciences, Elsevier, vol. 123(C), pages 59-76.
- Marcos Fernandes, 2019. "Confirmation Bias in Social Networks," Department of Economics Working Papers 19-05, Stony Brook University, Department of Economics.
- Marcos Ross Fernandes, 2023. "Confirmation Bias in Social Networks," Working Papers, Department of Economics 2023_02, University of São Paulo (FEA-USP).
- Marcos R. Fernandes, 2022. "Confirmation Bias in Social Networks," Papers 2207.12594, arXiv.org, revised Feb 2023.
- Luca P. Merlino & Paolo Pin & Nicole Tabasso, 2023.
"Debunking Rumors in Networks,"
American Economic Journal: Microeconomics, American Economic Association, vol. 15(1), pages 467-496, February.
- Luca Paolo Merlino & Paolo Pin & Nicole Tabasso, 2019. "Debunking Rumors in Networks," Working Papers 2019: 29, Department of Economics, University of Venice "Ca' Foscari", revised 2022.
- Luca Paolo Merlino & Paolo Pin & Nicole Tabasso, 2023. "Debunking Rumors in Networks," ULB Institutional Repository 2013/365073, ULB -- Universite Libre de Bruxelles.
- Luca P. Merlino & Paolo Pin & Nicole Tabasso, 2020. "Debunking Rumors in Networks," Papers 2010.01018, arXiv.org, revised May 2022.
- Ghosh, Aniruddha & Khan, M. Ali, 2021. "On a diversity of perspectives and world views: Learning under Bayesian vis-á-vis DeGroot updating," Economics Letters, Elsevier, vol. 202(C).
- 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.
- Arieli, Itai & Babichenko, Yakov & Shlomov, Segev, 2021. "Virtually additive learning," Journal of Economic Theory, Elsevier, vol. 197(C).
- Polanski, Arnold & Vega-Redondo, Fernando, 2023. "Homophily and influence," Journal of Economic Theory, Elsevier, vol. 207(C).
- Crès, Hervé & Tvede, Mich, 2022. "Aggregation of opinions in networks of individuals and collectives," Journal of Economic Theory, Elsevier, vol. 199(C).
- Buechel, Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2023.
"Misinformation due to asymmetric information sharing,"
Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
- Buechel Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2022. "Misinformation due to asymmetric information sharing," FSES Working Papers 528, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Wanying Huang & Philipp Strack & Omer Tamuz, 2024.
"Learning in Repeated Interactions on Networks,"
Econometrica, Econometric Society, vol. 92(1), pages 1-27, January.
- Wanying Huang & Philipp Strack & Omer Tamuz, 2021. "Learning in Repeated Interactions on Networks," Papers 2112.14265, arXiv.org, revised Jul 2024.
- Simone Cerreia-Vioglio & Roberto Corrao & Giacomo Lanzani, 2020. "Robust Opinion Aggregation and its Dynamics," Working Papers 662, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Cao, GangCheng & Fang, Debin & Wang, Pengyu, 2021. "The impacts of social learning on a real-time pricing scheme in the electricity market," Applied Energy, Elsevier, vol. 291(C).
- 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).
- Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
- Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
- Benedikt V. Meylahn & Arnoud V. den Boer & Michel Mandjes, 2023. "Trusting: Alone and together," Papers 2303.01921, arXiv.org, revised Feb 2024.
- Kivinen, Steven & Tumennasan, Norovsambuu, 2019.
"Consensus in social networks: Revisited,"
Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 11-18.
- Steven Kivinen & Norovsambuu Tumennasan, 2016. "Consensus in Social Networks: Revisited," Working Papers daleconwp2016-05, Dalhousie University, Department of Economics.
- Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
- Sebastiano Della Lena, 2019. "Non-Bayesian Social Learning and the Spread of Misinformation in Networks," Working Papers 2019:09, Department of Economics, University of Venice "Ca' Foscari".
- Sebastiano Della Lena & Luca Paolo Merlino, 2021. "Group Identity, Social Learning and Opinion Dynamics," Papers 2110.07226, arXiv.org, revised May 2022.
- Glass, Catherine A. & Glass, David H., 2021. "Opinion dynamics of social learning with a conflicting source," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
- Goutte, Maud-Rose, 2022. "Do actions speak louder than words? Evidence from microblogs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
- Catherine A. Glass & David H. Glass, 2021. "Social Influence of Competing Groups and Leaders in Opinion Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 799-823, October.
- Pedersen, Lasse Heje, 2022. "Game on: Social networks and markets," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1097-1119.
- Wang, Pengyu & Fang, Debin & Cao, GangCheng, 2022. "How social learning affects customer behavior under the implementation of TOU in the electricity retailing market," Energy Economics, Elsevier, vol. 106(C).
- Lou, Youcheng & Wang, Shouyang, 2021. "The equivalence of two rational expectations equilibrium economies with different approaches to processing neighbors’ information," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 93-105.
- Miguel Risco, 2023. "Network Effects on Information Acquisition by DeGroot Updaters," CRC TR 224 Discussion Paper Series crctr224_2023_420v2, University of Bonn and University of Mannheim, Germany.