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Citations for "Bayesian learning in social networks"

by Gale, Douglas & Kariv, Shachar

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  1. Grabisch, Michel & Rusinowska, Agnieszka, 2013. "A model of influence based on aggregation functions," Mathematical Social Sciences, Elsevier, vol. 66(3), pages 316-330.
  2. Mantilla, César, 2015. "Communication networks in common-pool resource games: Field experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 215-226.
  3. Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2011. "Bayesian Learning in Social Networks," Review of Economic Studies, Oxford University Press, vol. 78(4), pages 1201-1236.
  4. Buechel, Berno & Hellmann, Tim & Klößner, Stefan, 2015. "Opinion dynamics and wisdom under conformity," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 240-257.
  5. repec:hal:journl:halshs-00746988 is not listed on IDEAS
  6. Georg, Co-Pierre, 2014. "Contagious herding and endogenous network formation in financial networks," Working Paper Series 1700, European Central Bank.
  7. Mueller-Frank, Manuel, 2015. "Reaching Consensus in Social Networks," IESE Research Papers D/1116, IESE Business School.
  8. Mueller-Frank, Manuel, 2014. "Does one Bayesian make a difference?," Journal of Economic Theory, Elsevier, vol. 154(C), pages 423-452.
  9. repec:hal:cesptp:halshs-00906367 is not listed on IDEAS
  10. John Barrdear, 2014. "Peering into the mist: social learning over an opaque observation network," Discussion Papers 1409, Centre for Macroeconomics (CFM).
  11. Mario Eboli, 2015. "Diffusion of innovations in dense and sparse networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1559-1571, July.
  12. Antonio Guarino & Antonella Ianni, 2010. "Bayesian Social Learning with Local Interactions," Games, MDPI, Open Access Journal, vol. 1(4), pages 1-21, October.
  13. Manuel Förster & Michel Grabisch & Agnieszka Rusinowska, 2012. "Ordered Weighted Averaging in Social Networks," Documents de travail du Centre d'Economie de la Sorbonne 12056, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  14. Matthew O. Jackson & Benjamin Golub, 2007. "Naïve Learning in Social Networks: Convergence, Influence and Wisdom of Crowds," Working Papers 2007.64, Fondazione Eni Enrico Mattei.
  15. Battiston, Pietro & Stanca, Luca, 2015. "Boundedly rational opinion dynamics in social networks: Does indegree matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 400-421.
  16. Kets, W., 2008. "Networks and learning in game theory," Other publications TiSEM 7713fce1-3131-498c-8c6f-3, Tilburg University, School of Economics and Management.
  17. Vivi Alatas & Abhijit Banerjee & Arun G. Chandrasekhar & Rema Hanna & Benjamin A. Olken, 2012. "Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia," NBER Working Papers 18351, National Bureau of Economic Research, Inc.
  18. Mueller-Frank, Manuel, 2013. "A general framework for rational learning in social networks," Theoretical Economics, Econometric Society, vol. 8(1), January.
  19. Duffie, Darrell & Malamud, Semyon & Manso, Gustavo, 2014. "Information percolation in segmented markets," Journal of Economic Theory, Elsevier, vol. 153(C), pages 1-32.
  20. Prummer, Anja & Siedlarek, Jan-Peter, 2014. "Institutions And The Preservation Of Cultural Traits," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 470, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  21. Kimberley Scharf, 2014. "Private Provision Of Public Goods And Information Diffusion In Social Groups," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 1019-1042, November.
  22. Jadbabaie, Ali & Molavi, Pooya & Sandroni, Alvaro & Tahbaz-Salehi, Alireza, 2012. "Non-Bayesian social learning," Games and Economic Behavior, Elsevier, vol. 76(1), pages 210-225.
  23. Ilan Lobel & Evan Sadler, 2013. "Preferences, Homophily, and Social Learning," Working Papers 13-01, NET Institute.
  24. Michel Grabisch & Agnieszka Rusinowska, 2016. "Determining influential models," Documents de travail du Centre d'Economie de la Sorbonne 16038, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  25. Wuggenig, Mirjam, 2015. "Learning faster or more precisely? Strategic experimentation in networks," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113196, Verein für Socialpolitik / German Economic Association.
  26. Pan, Zhengzheng, 2010. "Trust, influence, and convergence of behavior in social networks," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 69-78, July.
  27. Nikolas Tsakas, 2013. "Diffusion by Imitation: The Importance of Targeting Agents," 2013 Papers pts99, Job Market Papers.
  28. Azomahou T.T. & Opolot D., 2014. "Beliefs dynamics in communication networks," MERIT Working Papers 034, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  29. Förster, Manuel & Grabisch, Michel & Rusinowska, Agnieszka, 2013. "Anonymous social influence," Games and Economic Behavior, Elsevier, vol. 82(C), pages 621-635.
  30. Mark Bowden & Stuart McDonald, 2008. "The Impact of Interaction and Social Learning on Aggregate Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 289-306, April.
  31. Brandts, Jordi & Giritligil, Ayça Ebru & Weber, Roberto A., 2015. "An experimental study of persuasion bias and social influence in networks," European Economic Review, Elsevier, vol. 80(C), pages 214-229.
  32. Celen, Bogachan & Hyndman, Kyle, 2006. "Endogenous Network Formation In the Laboratory," MPRA Paper 1440, University Library of Munich, Germany.
  33. Nicolas Vieille & E. Solan & D. Rosenberg, 2006. "Informational Externalities and Convergence of Behavior," Post-Print halshs-00120992, HAL.
  34. Kariv, Shachar, 2004. "A Theory and Experiments of Learning in Social Networks," Santa Cruz Department of Economics, Working Paper Series qt8853k4jd, Department of Economics, UC Santa Cruz.
  35. Syngjoo Choi & Douglas Gale & Shachar Kariv, 2012. "Social learning in networks: a Quantal Response Equilibrium analysis of experimental data," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 135-157, September.
  36. Song, Yangbo, 2016. "Social learning with endogenous observation," Journal of Economic Theory, Elsevier, vol. 166(C), pages 324-333.
  37. Lobel, Ilan & Sadler, Evan, 2015. "Information diffusion in networks through social learning," Theoretical Economics, Econometric Society, vol. 10(3), September.
  38. Eboli, Mario, 2013. "A flow network analysis of direct balance-sheet contagion in financial networks," Kiel Working Papers 1862, Kiel Institute for the World Economy (IfW).
  39. Tsakas, Nikolas, 2012. "Naive learning in social networks: Imitating the most successful neighbor," MPRA Paper 37796, University Library of Munich, Germany.
  40. Feri, Francesco & Meléndez-Jiménez, Miguel A. & Ponti, Giovanni & Vega-Redondo, Fernando, 2011. "Error cascades in observational learning: An experiment on the Chinos game," Games and Economic Behavior, Elsevier, vol. 73(1), pages 136-146, September.
  41. Vincent Mak & Rami Zwick, 2014. "Experimenting and learning with localized direct communication," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 262-284, June.
  42. Aymanns, Christoph & Georg, Co-Pierre, 2015. "Contagious synchronization and endogenous network formation in financial networks," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 273-285.
  43. Jakob Grazzini & Domenico Massaro, 2016. "Dispersed Information and the Origins of Aggregate Fluctuations," CESifo Working Paper Series 5957, CESifo Group Munich.
  44. Daron Acemoglu & Asuman Ozdaglar, 2011. "Opinion Dynamics and Learning in Social Networks," Dynamic Games and Applications, Springer, vol. 1(1), pages 3-49, March.
  45. Arun G. Chandrasekhar & Horacio Larreguy & Juan Pablo Xandri, 2015. "Testing Models of Social Learning on Networks: Evidence from a Lab Experiment in the Field," NBER Working Papers 21468, National Bureau of Economic Research, Inc.
  46. Pietro Battiston & Luca Stanca, 2014. "Boundedly Rational Opinion Dynamics in Directed Social Networks: Theory and Experimental Evidence," Working Papers 267, University of Milano-Bicocca, Department of Economics, revised Jan 2014.
  47. Cabrales, Antonio; Gale, Douglas; Gottardi, Piero, 2015. "Financial Contagion in Networks," Economics Working Papers ECO2015/01, European University Institute.
  48. Michel Grabisch & Agnieszka Rusinowska, 2016. "Determining models of influence," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 2, pages 69-85.
  49. Corazzini, Luca & Pavesi, Filippo & Petrovich, Beatrice & Stanca, Luca, 2012. "Influential listeners: An experiment on persuasion bias in social networks," European Economic Review, Elsevier, vol. 56(6), pages 1276-1288.
  50. Gustavo Adolfo Caballero Orozco, 2016. "Luck and Effort: Learning about Income from Friends and Neighbors," 2016 Papers pca706, Job Market Papers.
  51. Acemoglu, Daron & Ozdaglar, Asuman & ParandehGheibi, Ali, 2010. "Spread of (mis)information in social networks," Games and Economic Behavior, Elsevier, vol. 70(2), pages 194-227, November.
  52. Duffie, Darrell & Malamud, Semyon & Manso, Gustavo, 2015. "Reprint of: Information percolation in segmented markets," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 838-869.
  53. Syngjoo Choi, 2012. "A cognitive hierarchy model of learning in networks," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 215-250, September.
  54. Bogaçhan Çelen & Kyle Hyndman, 2012. "Social Learning Through Endogenous Information Acquisition: An Experiment," Management Science, INFORMS, vol. 58(8), pages 1525-1548, August.
  55. Cassar, Alessandra & Rigdon, Mary, 2011. "Trust and trustworthiness in networked exchange," Games and Economic Behavior, Elsevier, vol. 71(2), pages 282-303, March.
  56. Fang, Aili & Wang, Lin & Zhao, Jiuhua & Wang, Xiaofan, 2013. "Chaos in social learning with multiple true states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5786-5792.
  57. Syngjoo Choi & Douglas Gale & Shachar Kariv, 2005. "Learning in Networks: An Experimental Study," Levine's Bibliography 122247000000000044, UCLA Department of Economics.
  58. Rosenberg, Dinah & Solan, Eilon & Vieille, Nicolas, 2009. "Informational externalities and emergence of consensus," Games and Economic Behavior, Elsevier, vol. 66(2), pages 979-994, July.
  59. Beth Simmons & Jens Hainmueller, 2005. "Can Domestic Institutions Explain Exchange Rate Regime Choice? The Political Economy of Monetary Institutions Reconsidered," International Finance 0505011, EconWPA.
  60. Kok, Christoffer & Hałaj, Grzegorz, 2014. "Modeling emergence of the interbank networks," Working Paper Series 1646, European Central Bank.
  61. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
  62. repec:hal:journl:halshs-00543840 is not listed on IDEAS
  63. Camargo, Braz, 2014. "Learning in society," Games and Economic Behavior, Elsevier, vol. 87(C), pages 381-396.
  64. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "A General Model of Boundedly Rational Observational Learning: Theory and Experiment," IESE Research Papers D/1120, IESE Business School.
  65. Melguizo, Isabel, 2017. "Homophily and the Persistence of Disagreement," MPRA Paper 77367, University Library of Munich, Germany.
  66. repec:hal:journl:halshs-00639677 is not listed on IDEAS
  67. Wuggenig, Mirjam, 2014. "Learning faster or more precisely? Strategic experimentation in networks," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 485, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  68. Liu, Qipeng & Wang, Xiaofan, 2013. "Social learning with bounded confidence and heterogeneous agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2368-2374.
  69. Nikolas Tsakas, 2014. "Optimal influence under observational learning," Gecomplexity Discussion Paper Series 4, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Nov 2014.
  70. Catherine Tucker, 2008. "Social Interactions, Network Fluidity and Network Effects," Working Papers 08-30, NET Institute.
  71. Michel Grabisch & Agnieszka Rusinowska, 2016. "Determining models of influence," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 2, pages 69-85.
  72. Benjamin Golub & Matthew O. Jackson, 2009. "How Homophily Affects Learning and Diffusion in Networks," Working Papers 2009.35, Fondazione Eni Enrico Mattei.
  73. De Caux, Robert & McGroarty, Frank & Brede, Markus, 2017. "The evolution of risk and bailout strategy in banking systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 109-118.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.