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Citations for "Bayesian learning in social networks"

by Gale, Douglas & Kariv, Shachar

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  1. Celen, Bogachan & Hyndman, Kyle, 2006. "Endogenous Network Formation In the Laboratory," MPRA Paper 1440, University Library of Munich, Germany.
  2. 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.
  3. 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.
  4. Francesco Feri & Miguel A. Mel?ndez-Jim?nez & Giovanni Ponti & Fernando Vega Redondo, 2008. "Error Cascades in Observational Learning: An Experiment on the Chinos Game," Working Papers 2008-21, Faculty of Economics and Statistics, University of Innsbruck.
  5. Nicolas Vieille & E. Solan & D. Rosenberg, 2006. "Informational Externalities and Convergence of Behavior," Post-Print halshs-00120992, HAL.
  6. Daron Acemoglu & Asuman E. Ozdaglar, 2010. "Opinion Dynamics and Learning in Social Networks," Levine's Working Paper Archive 661465000000000222, David K. Levine.
  7. 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.
  8. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
  9. Antonio Guarino & Antonella Ianni, 2010. "Bayesian Social Learning with Local Interactions," Games, MDPI, Open Access Journal, vol. 1(4), pages 438, October.
  10. Scharf, Kimberley, 2011. "Private Provision of Public Goods and Information Diffusion in Social Groups," CEPR Discussion Papers 8607, C.E.P.R. Discussion Papers.
  11. Nicolas Vieille & Eilon Solan & Dinah Rosenberg, 2009. "Informational externalities and emergence of consensus," Post-Print hal-00464565, HAL.
  12. 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.
  13. Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2008. "Bayesian Learning in Social Networks," NBER Working Papers 14040, National Bureau of Economic Research, Inc.
  14. 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.
  15. Pietro Battiston & Luca Stanca, 2015. "Boundedly Rational Opinion Dynamics in Social Networks: Does Indegree Matter?," LEM Papers Series 2015/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  16. Nikolas Tsakas, 2015. "Diffusion by imitation: The importance of targeting agents," University of Cyprus Working Papers in Economics 11-2015, University of Cyprus Department of Economics.
  17. Mueller-Frank, Manuel, 2015. "Reaching Consensus in Social Networks," IESE Research Papers D/1116, IESE Business School.
  18. Syngjoo Choi & Douglas Gale & Shachar Kariv, 2005. "Learning in Networks: An Experimental Study," Levine's Bibliography 122247000000000044, UCLA Department of Economics.
  19. repec:hal:journl:halshs-00543840 is not listed on IDEAS
  20. John Barrdear, 2014. "Peering into the mist: social learning over an opaque observation network," LSE Research Online Documents on Economics 58083, London School of Economics and Political Science, LSE Library.
  21. César Mantilla, 2013. "Communication Networks in Common-Pool Resource Games: Field Experimental Evidence," Working Papers 201360, Latin American and Caribbean Environmental Economics Program, revised 2013.
  22. Michel Grabisch & Agnieszka Rusinowska, 2016. "Determining influential models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01318081, HAL.
  23. 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.
  24. Beth Simmons & Jens Hainmueller, 2005. "Can Domestic Institutions Explain Exchange Rate Regime Choice? The Political Economy of Monetary Institutions Reconsidered," International Finance 0505011, EconWPA.
  25. Pan, Zhengzheng, 2010. "Trust, influence, and convergence of behavior in social networks," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 69-78, July.
  26. Manuel Foerster & Michel Grabisch & Agnieszka Rusinowska, 2013. "Anonymous social influence," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-00913235, HAL.
  27. 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.
  28. Georg, Co-Pierre, 2014. "Contagious herding and endogenous network formation in financial networks," Working Paper Series 1700, European Central Bank.
  29. 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.
  30. Jordi Brandts & Ayça Ebru Giritligil & Roberto A. Weber, 2014. "An Experimental Study of Persuasion Bias and Social Influence in Networks," BELIS Working Papers 2014-03, BELIS, Istanbul Bilgi University.
  31. 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.
  32. Hałaj, Grzegorz & Kok, Christoffer, 2014. "Modeling emergence of the interbank networks," Working Paper Series 1646, European Central Bank.
  33. Tsakas, Nikolas, 2012. "Naive learning in social networks: Imitating the most successful neighbor," MPRA Paper 37796, University Library of Munich, Germany.
  34. 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.
  35. Michel Grabisch & Agnieszka Rusinowska, 2011. "A model of influence based on aggregation functions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00639677, HAL.
  36. 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.
  37. 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.
  38. 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).
  39. Mario Eboli, 2013. "A flow network analysis of direct balance-sheet contagion in financial networks," Kiel Working Papers 1862, Kiel Institute for the World Economy.
  40. Anja Prummer & Jan-Peter Siedlarek, 2014. "Institutions and the Preservation of Cultural Traits," Cambridge Working Papers in Economics 1465, Faculty of Economics, University of Cambridge.
  41. Camargo, Braz, 2014. "Learning in society," Games and Economic Behavior, Elsevier, vol. 87(C), pages 381-396.
  42. Mueller-Frank, Manuel, 2014. "Does one Bayesian make a difference?," Journal of Economic Theory, Elsevier, vol. 154(C), pages 423-452.
  43. Mueller-Frank, Manuel, 2013. "A general framework for rational learning in social networks," Theoretical Economics, Econometric Society, vol. 8(1), January.
  44. 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.
  45. Cassar, Alessandra & Rigdon, Mary, 2011. "Trust and trustworthiness in networked exchange," Games and Economic Behavior, Elsevier, vol. 71(2), pages 282-303, March.
  46. Song, Yangbo, 2016. "Social learning with endogenous observation," Journal of Economic Theory, Elsevier, vol. 166(C), pages 324-333.
  47. Darrell DUFFIE & Semyon MALAMUD & Gustavo MANSO, 2010. "Information Percolation in Segmented Markets," Swiss Finance Institute Research Paper Series 10-09, Swiss Finance Institute.
  48. repec:hal:journl:halshs-00906367 is not listed on IDEAS
  49. 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).
  50. 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.
  51. 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.
  52. repec:hal:cesptp:halshs-00906367 is not listed on IDEAS
  53. repec:hal:journl:halshs-00746988 is not listed on IDEAS
  54. Kets, W., 2008. "Networks and learning in game theory," Other publications TiSEM 7713fce1-3131-498c-8c6f-3, Tilburg University, School of Economics and Management.
  55. Catherine Tucker, 2008. "Social Interactions, Network Fluidity and Network Effects," Working Papers 08-30, NET Institute.
  56. 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.
  57. Benjamin Golub & Matthew O. Jackson, 2009. "How Homophily Affects Learning and Diffusion in Networks," Working Papers 2009.35, Fondazione Eni Enrico Mattei.
  58. Bogaçhan Çelen & Kyle Hyndman, 2012. "Social Learning Through Endogenous Information Acquisition: An Experiment," Management Science, INFORMS, vol. 58(8), pages 1525-1548, August.
  59. Michel Grabisch & Agnieszka Rusinowska, 2016. "Determining models of influence," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01387480, HAL.
  60. 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.
  61. Cabrales, Antonio; Gale, Douglas; Gottardi, Piero, 2015. "Financial Contagion in Networks," Economics Working Papers ECO2015/01, European University Institute.
  62. Shachar Kariv & Syngjoo Choi & Douglas Gale, 2007. "Social Learning in Networks: A Quantal Response Equilibrium Analysis of Experimental Data," Levine's Bibliography 843644000000000107, UCLA Department of Economics.
  63. Lobel, Ilan & Sadler, Evan, 2015. "Information diffusion in networks through social learning," Theoretical Economics, Econometric Society, vol. 10(3), September.
  64. Gustavo Adolfo Caballero Orozco, 2016. "Luck and Effort: Learning about Income from Friends and Neighbors," 2016 Papers pca706, Job Market Papers.
  65. Ilan Lobel & Evan Sadler, 2013. "Preferences, Homophily, and Social Learning," Working Papers 13-01, NET Institute.
  66. 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.
  67. Jakob Grazzini & Domenico Massaro, 2016. "Dispersed Information and the Origins of Aggregate Fluctuations," CESifo Working Paper Series 5957, CESifo Group Munich.
  68. repec:hal:journl:halshs-00639677 is not listed on IDEAS
  69. 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.
  70. 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.
  71. 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.
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