IDEAS home Printed from https://ideas.repec.org/r/wly/emetrp/v88y2020i1p1-32.html
   My bibliography  Save this item

Testing Models of Social Learning on Networks: Evidence From Two Experiments

Citations

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


Cited by:

  1. Michel Grabisch & Agnieszka Rusinowska, 2020. "A Survey on Nonstrategic Models of Opinion Dynamics," Games, MDPI, vol. 11(4), pages 1-29, December.
  2. Edoardo Gallo & Alastair Langtry, 2020. "Social networks, confirmation bias and shock elections," Papers 2011.00520, arXiv.org.
  3. Raúl Duarte & Frederico Finan & Horacio Larreguy & Laura Schechter, 2019. "Brokering Votes With Information Spread Via Social Networks," NBER Working Papers 26241, National Bureau of Economic Research, Inc.
  4. Comola, Margherita & Rusinowska, Agnieszka & Villeval, Marie Claire, 2024. "Competing for Influence in Networks through Strategic Targeting," IZA Discussion Papers 17315, Institute of Labor Economics (IZA).
  5. Bikram P. Ghosh & Michael R. Galbreth, 2023. "The weight of the crowd, social information credibility, and firm strategy," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1079-1095, April.
  6. Dasaratha, Krishna & He, Kevin, 2021. "An experiment on network density and sequential learning," Games and Economic Behavior, Elsevier, vol. 128(C), pages 182-192.
  7. Margherita Comola & Agnieszka Rusinowska & Marie Claire Villeval, 2024. "Competing for Influence in Networks Through Strategic Targeting [En compétition pour l'influence dans les réseaux grâce au ciblage stratégique]," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04706311, HAL.
  8. Boucher, Vincent & Dedewanou, F. Antoine & Dufays, Arnaud, 2022. "Peer-induced beliefs regarding college participation," Economics of Education Review, Elsevier, vol. 90(C).
  9. Khandelwal, Vatsal, 2024. "Learning in networks with idiosyncratic agents," Games and Economic Behavior, Elsevier, vol. 144(C), pages 225-249.
  10. Alem, Yonas & Dugoua, Eugenie, 2021. "Learning from unincentivized and incentivized communication: A randomized controlled trial in India," Ruhr Economic Papers 895, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  11. Denis Tverskoi & Andrea Guido & Giulia Andrighetto & Angel Sánchez & Sergey Gavrilets, 2023. "Disentangling material, social, and cognitive determinants of human behavior and beliefs," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
  12. 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).
  13. Marcel Fafchamps & Måns Söderbom & Monique van den Boogart, 2022. "Adoption with Social Learning and Network Externalities," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1259-1282, December.
  14. Simone Alfarano & Albert Banal-Estañol & Eva Camacho & Giulia Iori & Burcu Kapar & Rohit Rahi, 2024. "Centralized vs decentralized markets: The role of connectivity," Economics Working Papers 1877, Department of Economics and Business, Universitat Pompeu Fabra.
  15. Anufriev, Mikhail & Borissov, Kirill & Pakhnin, Mikhail, 2023. "Dissonance minimization and conversation in social networks," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 167-191.
  16. 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.
  17. 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).
  18. Miguel Risco, 2025. "Network effects on information acquisition by DeGroot updaters," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 79(1), pages 201-234, February.
  19. Cátia Batista & Marcel Fafchamps & Pedro C Vicente, 2022. "Keep It Simple: A Field Experiment on Information Sharing among Strangers [Changing Saving and Investment Behavior: The Impact of Financial Literacy Training and Reminders on Micro-Businesses]," The World Bank Economic Review, World Bank, vol. 36(4), pages 857-888.
  20. Marina Agranov & Benjamin Gillen & Dotan Persitz, 2024. "A Comment on “Testing Models of Social Learning on Networks: Evidence From Two Experiments”," Econometrica, Econometric Society, vol. 92(5), pages 1-6, September.
  21. Kara Layne Johnson & Jennifer L. Walsh & Yuri A. Amirkhanian & Nicole Bohme Carnegie, 2021. "Performance of a Genetic Algorithm for Estimating DeGroot Opinion Diffusion Model Parameters for Health Behavior Interventions," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
  22. Florian Mudekereza, 2025. "Collective Intelligence in Dynamic Networks," Papers 2502.12660, arXiv.org.
  23. Wenhao Cheng, 2024. "Naïve learning as a coordination device in social networks," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 26(3), June.
  24. Della Lena, Sebastiano, 2024. "The spread of misinformation in networks with individual and social learning," European Economic Review, Elsevier, vol. 168(C).
  25. Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
  26. Gallo, E. & Langtry, A., 2020. "Social Networks, Confirmation Bias and Shock Elections," Cambridge Working Papers in Economics 2099, Faculty of Economics, University of Cambridge.
  27. Olcina, Gonzalo & Panebianco, Fabrizio & Zenou, Yves, 2024. "Conformism, social pressure, and the dynamics of integration," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 279-304.
  28. Michelle Gonz'alez Amador & Robin Cowan & Eleonora Nillesen, 2022. "Peer Networks and Malleability of Educational Aspirations," Papers 2209.08340, arXiv.org.
  29. Syngjoo Choi & Sanjeev Goyal & Frederic Moisan & Yu Yang Tony To, 2023. "Learning in Networks: An Experiment on Large Networks with Real-World Features," Management Science, INFORMS, vol. 69(5), pages 2778-2787, May.
  30. Isabel Melguizo, 2019. "Homophily and the Persistence of Disagreement," The Economic Journal, Royal Economic Society, vol. 129(619), pages 1400-1424.
  31. Crès, Hervé & Tvede, Mich, 2022. "Aggregation of opinions in networks of individuals and collectives," Journal of Economic Theory, Elsevier, vol. 199(C).
  32. Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
  33. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
  34. Hanna Freudenreich & Sindu W. Kebede, 2022. "Experience of shocks, household wealth and expectation formation: Evidence from smallholder farmers in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 756-774, September.
  35. Jeong, Daeyoung & Shin, Euncheol, 2024. "Optimal influence design in networks," Journal of Economic Theory, Elsevier, vol. 220(C).
  36. Mikael Bask, 2024. "Skill, status and the Matthew effect: a theoretical framework," Journal of Computational Social Science, Springer, vol. 7(3), pages 2221-2253, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.