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Omer Tamuz

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Itai Arieli & Yakov Babichenko & Fedor Sandomirskiy & Omer Tamuz, 2020. "Feasible Joint Posterior Beliefs," Papers 2002.11362, arXiv.org, revised Dec 2020.

    Cited by:

    1. Levy, Gilat & Moreno de Barreda, Inés & Razin, Ronny, 2022. "Persuasion with correlation neglect: a full manipulation result," LSE Research Online Documents on Economics 111551, London School of Economics and Political Science, LSE Library.
    2. Kevin He & Fedor Sandomirskiy & Omer Tamuz, 2021. "Private Private Information," Papers 2112.14356, arXiv.org, revised Apr 2025.
    3. Herings, P. Jean-Jacques & Karos, Dominik & Kerman, Toygar, 2020. "Belief Inducibility and Informativeness," Research Memorandum 027, Maastricht University, Graduate School of Business and Economics (GSBE).

  2. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2019. "From Blackwell Dominance in Large Samples to Renyi Divergences and Back Again," Papers 1906.02838, arXiv.org, revised Sep 2020.

    Cited by:

    1. Mira Frick & Ryota Iijima & Yuhta Ishii, 2021. "Learning Efficiency of Multi-Agent Information Structures," Cowles Foundation Discussion Papers 2299R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
    2. Kosenko, Andrew, 2024. "Beyond the Blackwell order in dichotomies," Economics Letters, Elsevier, vol. 245(C).
    3. Alexander W. Bloedel & Weijie Zhong, 2025. "The Cost of Optimally Acquired Information," Papers 2511.05466, arXiv.org.
    4. Davide Bordoli & Ryota Iijima, 2025. "Convex Cost of Information via Statistical Divergence," Papers 2509.00229, arXiv.org.
    5. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2021. "From Blackwell Dominance in Large Samples to Rényi Divergences and Back Again," Econometrica, Econometric Society, vol. 89(1), pages 475-506, January.
    6. Nidhish Shah & Shaurjya Mandal & Asfandyar Azhar, 2026. "All Substitution Is Local," Papers 2604.01443, arXiv.org.
    7. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2021. "Monotone additive statistics," Papers 2102.00618, arXiv.org, revised Apr 2024.
    8. Colin Aitken & Rajat Masiwal & Adam Marchakitus & Katherine Kowal & Mayank Gupta & Tyler Yang & Amir Jina & Pedram Hassanzadeh & William R. Boos & Michael Kremer, 2026. "Designing probabilistic AI monsoon forecasts to inform agricultural decision-making," Papers 2603.07893, arXiv.org, revised Mar 2026.
    9. Zizhe Xia, 2025. "Comparisons of Experiments in Moral Hazard Problems," Papers 2507.12476, arXiv.org, revised May 2026.
    10. Andrew Kosenko, 2021. "Algebraic Properties of Blackwell's Order and A Cardinal Measure of Informativeness," Papers 2110.11399, arXiv.org.
    11. Alex Bloedel & Tommaso Denti & Luciano Pomatto, 2025. "Modeling information acquisition: divergences, duality, and discrete choice," Papers 2510.03482, arXiv.org, revised Aug 2026.
    12. Mira Frick & Ryota Iijima & Yuhta Ishii, 2021. "Welfare Comparisons for Biased Learning," Cowles Foundation Discussion Papers 2274R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
    13. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2021. "Monotone Additive Statistics," Working Papers 2021-36, Princeton University. Economics Department..
    14. Kailin Chen, 2025. "Communication as Voting," Papers 2505.14639, arXiv.org, revised Sep 2026.
    15. Mira Frick & Ryota Iijima & Yuhta Ishii, 2021. "Learning Efficiency of Multi-Agent Information Structures," Cowles Foundation Discussion Papers 2299R2, Cowles Foundation for Research in Economics, Yale University, revised Jul 2022.

  3. Luciano Pomatto & Philipp Strack & Omer Tamuz, 2018. "The Cost of Information: The Case of Constant Marginal Costs," Papers 1812.04211, arXiv.org, revised Feb 2023.

    Cited by:

    1. Whitmeyer, Mark, 2025. "A concavity in the value of information," Games and Economic Behavior, Elsevier, vol. 154(C), pages 200-207.
    2. S. Viswanathan & Hao Xing, 2026. "Flexible Information Acquisition in the Kyle Model," Papers 2603.21842, arXiv.org.
    3. Ben Hambly & Renyuan Xu & Huining Yang, 2021. "Recent Advances in Reinforcement Learning in Finance," Papers 2112.04553, arXiv.org, revised Feb 2023.
    4. Davies, Benjamin, 2026. "Persistence, patience and costly information acquisition," Economics Letters, Elsevier, vol. 266(C).
    5. Mira Frick & Ryota Iijima & Yuhta Ishii, 2021. "Learning Efficiency of Multi-Agent Information Structures," Cowles Foundation Discussion Papers 2299R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
    6. Qianjun Lyu, 2024. "Optimal Refund Mechanism with Consumer Learning," Papers 2404.14927, arXiv.org.
    7. Hyun-Soo Ahn & Christopher Thomas Ryan & Joline Uichanco & Mengzhenyu Zhang, 2026. "Valuing Influence with Social Learning," Manufacturing & Service Operations Management, INFORMS, vol. 28(4), pages 1133-1153, July.
    8. Larionov, Daniil & Pham, Hien & Yamashita, Takuro & Zhu, Shuguang, 2021. "First Best Implementation with Costly Information Acquisition," TSE Working Papers 21-1261, Toulouse School of Economics (TSE), revised Apr 2022.
    9. Dewan, Ambuj & Neligh, Nathaniel, 2020. "Estimating information cost functions in models of rational inattention," Journal of Economic Theory, Elsevier, vol. 187(C).
    10. Jianjun Miao & Hao Xing, 2024. "Dynamic discrete choice under rational inattention," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(3), pages 597-652, May.
    11. Peter Achim & Kemal Ozbek, 2025. "Flexible Learning via Noise Reduction," Papers 2503.20741, arXiv.org.
    12. David Walker-Jones, 2019. "Rational Inattention and Perceptual Distance," Papers 1909.00888, arXiv.org, revised Dec 2019.
    13. Maćkowiak, Bartosz & Matějka, Filip & Wiederholt, Mirko, 2021. "Rational inattention: a review," Working Paper Series 2570, European Central Bank.
    14. Walker-Jones, David, 2025. "Foundation and identification of multi-attribute Shannon entropy," Games and Economic Behavior, Elsevier, vol. 150(C), pages 334-355.
    15. Luca Braghieri, 2023. "Biased Decoding and the Foundations of Communication," CESifo Working Paper Series 10432, CESifo.
    16. Wade Hann-Caruthers & Minghao Pan & Omer Tamuz, 2024. "Network and timing effects in social learning," Papers 2412.07061, arXiv.org.
    17. Jake Zhang, 2026. "A Costly-information Foundation for Psychometric Curves," Papers 2608.05444, arXiv.org.
    18. Xu, Shuo, 2025. "Persuasion through information cost design," Economic Modelling, Elsevier, vol. 153(C).
    19. Mark Whitmeyer, 2022. "Making Information More Valuable," Papers 2210.04418, arXiv.org, revised Apr 2026.
    20. Gaglianone, Wagner Piazza & Giacomini, Raffaella & Issler, João Victor & Skreta, Vasiliki, 2022. "Incentive-driven inattention," Journal of Econometrics, Elsevier, vol. 231(1), pages 188-212.
    21. Nidhish Shah & Shaurjya Mandal & Asfandyar Azhar, 2026. "All Substitution Is Local," Papers 2604.01443, arXiv.org.
    22. Salil Sharma & Elias Tsakas & Mark Voorneveld, 2025. "Procuring Unverifiable Information," Mathematics of Operations Research, INFORMS, vol. 50(2), pages 1433-1453, May.
    23. Flynn, Joel P. & Sastry, Karthik A., 2023. "Strategic mistakes," Journal of Economic Theory, Elsevier, vol. 212(C).
    24. Roc Armenter & Michèle Müller-Itten & Zachary Strangebye, 2021. "Rational Inattention via Ignorance Equivalence," Working Papers 21-29, Federal Reserve Bank of Philadelphia.
    25. Peter Caradonna & Christopher P. Chambers, 2024. "Revealed Invariant Preference," Papers 2408.04573, arXiv.org.
    26. David Almog & Daniel Martin, 2024. "Rational inattention in games: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 27(4), pages 715-742, September.
    27. Benjamin M. Hébert & Michael Woodford, 2019. "Rational Inattention when Decisions Take Time," NBER Working Papers 26415, National Bureau of Economic Research, Inc.
    28. Ma, Yu & Liu, Hong & Wang, Jing, 2026. "Market professional performance under insider information leakage," Economic Modelling, Elsevier, vol. 157(C).
    29. Shaofei Jiang, 2024. "Costly Persuasion by a Partially Informed Sender," Papers 2401.14087, arXiv.org, revised Nov 2024.
    30. Zhou, Jing, 2022. "Capital reallocation from the perspective of endogenous lemons markets and information cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    31. Alex Bloedel & Tommaso Denti & Luciano Pomatto, 2025. "Modeling information acquisition: divergences, duality, and discrete choice," Papers 2510.03482, arXiv.org, revised Aug 2026.
    32. Dong, Miaomiao & Mayskaya, Tatiana, 2024. "Does reducing communication barriers promote diversity?," Journal of Economic Theory, Elsevier, vol. 222(C).
    33. D'aniel Csaba, 2021. "Attention elasticities and invariant information costs," Papers 2105.07565, arXiv.org.
    34. Yongheng Hu, 2025. "How Big Data Dilutes Cognitive Resources, Interferes with Rational Decision-making and Affects Wealth Distribution ?," Papers 2508.20435, arXiv.org, revised Aug 2025.
    35. Giulio Principi, 2026. "A distance-based theory of lottery complexity," Papers 2608.14464, arXiv.org, revised Sep 2026.
    36. Farzad Pourbabaee, 2021. "High Dimensional Decision Making, Upper and Lower Bounds," Papers 2105.00545, arXiv.org.
    37. Tommaso Denti & Massimo Marinacci & Aldo Rustichini, 2019. "Experimental Cost of Information," Working Papers 657, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    38. Benjamin Davies, 2024. "Learning about a changing state," Papers 2401.03607, arXiv.org, revised Jan 2026.
    39. Walker-Jones, David, 2023. "Rational inattention with multiple attributes," Journal of Economic Theory, Elsevier, vol. 212(C).
    40. Benjamin M. Hébert & Michael Woodford, 2020. "Neighborhood-Based Information Costs," NBER Working Papers 26743, National Bureau of Economic Research, Inc.
    41. Pietro Dall’Ara, 2025. "Persuading an Inattentive and Privately Informed Receiver," CSEF Working Papers 766, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    42. Pourbabaee, Farzad, 2021. "High dimensional decision making, upper and lower bounds," Economics Letters, Elsevier, vol. 204(C).
    43. Florian Mudekereza, 2026. "Constraint Preferences: Inattention and Aggregation," Papers 2606.11600, arXiv.org, revised Sep 2026.
    44. Mark Whitmeyer & Kun Zhang, 2022. "Buying Opinions," Papers 2202.05249, arXiv.org, revised Jul 2023.

  4. Pathikrit Basu & Kalyan Chatterjee & Tetsuya Hoshino & Omer Tamuz, 2018. "Repeated Coordination with Private Learning," Papers 1809.00051, arXiv.org.

    Cited by:

    1. Mira Frick & Ryota Iijima & Yuhta Ishii, 2021. "Learning Efficiency of Multi-Agent Information Structures," Cowles Foundation Discussion Papers 2299R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.

  5. Luciano Pomatto & Philipp Strack & Omer Tamuz, 2018. "Stochastic Dominance Under Independent Noise," Papers 1807.06927, arXiv.org, revised May 2019.

    Cited by:

    1. Reynoso, Ana, 2026. "Polygamy, co-wives’ complementarities, and intrahousehold inequality," Journal of Development Economics, Elsevier, vol. 182(C).
    2. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2021. "From Blackwell Dominance in Large Samples to Rényi Divergences and Back Again," Econometrica, Econometric Society, vol. 89(1), pages 475-506, January.
    3. Christopher P. Chambers & Federico Echenique, 2019. "Spherical Preferences," Papers 1905.02917, arXiv.org, revised Feb 2020.
    4. De Vecchi, Corrado & Scherer, Matthias, 2025. "Pricing insurance contracts with an existing portfolio as background risk," Insurance: Mathematics and Economics, Elsevier, vol. 122(C), pages 180-193.
    5. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2024. "Monotone Additive Statistics," Econometrica, Econometric Society, vol. 92(4), pages 995-1031, July.
    6. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2021. "Monotone additive statistics," Papers 2102.00618, arXiv.org, revised Apr 2024.
    7. Tiantian Mao & Ruodu Wang & Lin Zhao, 2026. "Characterizing Fractional-Degree Stochastic Dominance by Invariance Laws," Decision Analysis, INFORMS, vol. 23(2), pages 149-171, June.
    8. Chen, An & Müller, Alfred & Rach, Manuel, 2025. "The tontine puzzle," Journal of Mathematical Economics, Elsevier, vol. 121(C).
    9. Marilyn Pease & Mark Whitmeyer, 2024. "How to Make an Action Attractive," Papers 2408.09294, arXiv.org, revised Apr 2026.
    10. Anderson, Robert M. & Duanmu, Haosui & Ghosh, Aniruddha & Khan, M. Ali, 2024. "On existence of Berk-Nash equilibria in misspecified Markov decision processes with infinite spaces," Journal of Economic Theory, Elsevier, vol. 217(C).
    11. Fabio Maccheroni & Massimo Marinacci & Ruodu Wang & Qinyu Wu, 2023. "Risk Aversion and Insurance Propensity," Papers 2310.09173, arXiv.org, revised Feb 2025.
    12. Xiangxin He & Fangda Liu & Ruodu Wang, 2026. "Diversification Preferences and Risk Attitudes," Papers 2601.04067, arXiv.org, revised Mar 2026.
    13. Mark Whitmeyer, 2026. "Two Moments for Risk-Monotone Additive Statistics," Papers 2608.10883, arXiv.org.

  6. Wade Hann-Caruthers & Vadim V. Martynov & Omer Tamuz, 2017. "The speed of sequential asymptotic learning," Papers 1707.02689, arXiv.org, revised Nov 2017.

    Cited by:

    1. Florian Brandl, 2025. "The Social Learning Barrier," Papers 2504.12136, arXiv.org, revised Aug 2025.
    2. Cheredina, Darina & Lukyanov, Georgy, 2025. "Two Motives for Verification in Information Cascades," TSE Working Papers 25-1681, Toulouse School of Economics (TSE), revised Oct 2026.
    3. Itai Arieli & Moran Koren & Rann Smorodinsky, 2019. "The Implications of Pricing on Social Learning," Papers 1905.03452, arXiv.org.
    4. Qi, Dengwei, 2025. "The rates of learning with public and private signals," Mathematical Social Sciences, Elsevier, vol. 136(C).
    5. Mira Frick & Ryota Iijima & Yuhta Ishii, 2021. "Learning Efficiency of Multi-Agent Information Structures," Cowles Foundation Discussion Papers 2299R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
    6. Yuval Peres & Miklos Z. Racz & Allan Sly & Izabella Stuhl, 2017. "How fragile are information cascades?," Papers 1711.04024, arXiv.org, revised Feb 2018.
    7. Bikhchandani, Sushil & Hirshleifer, David & Tamuz, Omer & Welch, Ivo, 2021. "Information Cascades and Social Learning," MPRA Paper 107927, University Library of Munich, Germany.
    8. Wanying Huang & Philipp Strack & Omer Tamuz, 2021. "Learning in Repeated Interactions on Networks," Papers 2112.14265, arXiv.org, revised Jul 2024.
    9. Darina Cheredina & Georgy Lukyanov, 2025. "Two Motives for Verification in Information Cascades," Papers 2508.20538, arXiv.org, revised Jul 2026.
    10. Florian Brandl & Wanying Huang & Atulya Jain, 2026. "On the Inefficiency of Social Learning," ECONtribute Discussion Papers Series 433, University of Bonn and University of Cologne, Germany.
    11. Florian Brandl & Wanying Huang & Atulya Jain, 2026. "On the Inefficiency of Social Learning," Papers 2602.08812, arXiv.org, revised Oct 2026.
    12. Annie Liang & Xiaosheng Mu, 2018. "Overabundant Information and Learning Traps," PIER Working Paper Archive 18-008, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 27 Mar 2018.
    13. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asuman Ozdaglar, 2017. "Fast and Slow Learning From Reviews," NBER Working Papers 24046, National Bureau of Economic Research, Inc.
    14. Ilai Bistritz & Nasimeh Heydaribeni & Achilleas Anastasopoulos, 2019. "Do Informational Cascades Happen with Non-myopic Agents?," Papers 1905.01327, arXiv.org, revised Jul 2022.
    15. 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.
    16. Xuanye Wang, 2021. "Fragility of Confounded Learning," Papers 2106.07712, arXiv.org.
    17. Yuxin Liu & M. Amin Rahimian, 2025. "Privacy-Aware Sequential Learning," Papers 2502.19525, arXiv.org, revised Sep 2026.
    18. Arieli, Itai & Babichenko, Yakov & Smorodinsky, Rann, 2020. "Identifiable information structures," Games and Economic Behavior, Elsevier, vol. 120(C), pages 16-27.

  7. Matan Harel & Elchanan Mossel & Philipp Strack & Omer Tamuz, 2014. "Rational Groupthink," Papers 1412.7172, arXiv.org, revised Jun 2020.

    Cited by:

    1. Mira Frick & Ryota Iijima & Yuhta Ishii, 2021. "Learning Efficiency of Multi-Agent Information Structures," Cowles Foundation Discussion Papers 2299R, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
    2. Wanying Huang & Philipp Strack & Omer Tamuz, 2021. "Learning in Repeated Interactions on Networks," Papers 2112.14265, arXiv.org, revised Jul 2024.
    3. Giovanni Immordino & Tommaso Oliviero & Matteo Vasca, 2026. "Relationship–Specific Capital in Public Decision-Making: Evidence from Judges and Lawyers," CSEF Working Papers 790, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.

  8. Yakov Babichenko & Omer Tamuz, 2014. "Graphical potential games," Papers 1405.1481, arXiv.org, revised Mar 2016.

    Cited by:

    1. Xinrong Yang & Zhenping Geng & Haitao Li, 2023. "Matrix-Based Method for the Analysis and Control of Networked Evolutionary Games: A Survey," Games, MDPI, vol. 14(2), pages 1-13, February.
    2. 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.
    3. Mehmet S. Ismail & Ronald Peeters, 2024. "A connection between von Neumann-Morgenstern expected utility and symmetric potential games," Theory and Decision, Springer, vol. 97(4), pages 707-720, December.
    4. Nikolaos Nagkoulis & Konstantinos L. Katsifarakis, 2022. "Using Game Theory to Assign Groundwater Pumping Schedules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1571-1586, March.
    5. Toru Kitagawa & Guanyi Wang, 2023. "Individualized Treatment Allocation in Sequential Network Games," Papers 2302.05747, arXiv.org, revised May 2026.

  9. Elchanan Mossel & Manuel Mueller-Frank & Allan Sly & Omer Tamuz, 2012. "Social learning equilibria," Papers 1207.5895, arXiv.org, revised Sep 2019.

    Cited by:

    1. Michel Grabisch & Agnieszka Rusinowska, 2021. "A Survey on Nonstrategic Models of Opinion Dynamics," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03167886, HAL.
    2. Arieli, Itai & Babichenko, Yakov & Shlomov, Segev, 2021. "Virtually additive learning," Journal of Economic Theory, Elsevier, vol. 197(C).
    3. Enrique Urbano Arellano & Xinyang Wang, 2023. "Context-based Imitation and the Evolution of Behavioral Rules," Papers 2310.15861, arXiv.org, revised May 2026.
    4. Jérôme Mathis & Marcello Puca & Simone M. Sepe, 2021. "Deliberative Institutions and Optimality," CSEF Working Papers 614, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 09 Jun 2021.
    5. Michael Kearns & Aaron Roth & Emily Ryu, 2025. "Networked Information Aggregation via Machine Learning," Papers 2507.09683, arXiv.org, revised Oct 2025.
    6. Emilien Macault, 2022. "Stochastic Consensus and the Shadow of Doubt," Papers 2201.12100, arXiv.org.
    7. Stefano Nasini & Rabia Nessah & Bertrand Wigniolle, 2025. "Learning Paths to Multi-Sector Equilibrium: Belief Dynamics Under Uncertain Returns to Scale," Papers 2512.07013, arXiv.org.
    8. Avidit Acharya & Kyungtae Park & Tomer Zaidman, 2025. "Motivated Reasoning and Information Aggregation," Papers 2512.10125, arXiv.org.
    9. Song, Yangbo, 2025. "Social learning among opinion leaders," Games and Economic Behavior, Elsevier, vol. 153(C), pages 451-473.
    10. Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2021. "Information Cascades and Social Learning," Papers 2105.11044, arXiv.org.
    11. Kevin He & Fedor Sandomirskiy & Omer Tamuz, 2021. "Private Private Information," Papers 2112.14356, arXiv.org, revised Apr 2025.
    12. Jan Hązła & Ali Jadbabaie & Elchanan Mossel & M. Amin Rahimian, 2021. "Bayesian Decision Making in Groups is Hard," Operations Research, INFORMS, vol. 69(2), pages 632-654, March.
    13. David Lagziel & Yevgeny Tsodikovich, 2023. "Second Opinions and the Humility Threshold," Working Papers 2305, Ben-Gurion University of the Negev, Department of Economics.

  10. Elchanan Mossel & Allan Sly & Omer Tamuz, 2012. "Strategic Learning and the Topology of Social Networks," Papers 1209.5527, arXiv.org, revised May 2015.

    Cited by:

    1. Yi Li, 2020. "Internet Development and Structural Transformation: Evidence from China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(1), pages 1-8.
    2. Delia Coculescu & Médéric Motte & Huyên Pham, 2024. "Opinion dynamics in communities with major influencers and implicit social influence via mean-field approximation," Mathematics and Financial Economics, Springer, volume 18, number 7, June.
    3. Tom Hutchcroft & Olga Rospuskova & Omer Tamuz, 2026. "Local Coordination and the Geometry of Social Networks," Papers 2602.12571, arXiv.org, revised Jun 2026.
    4. Ruoxi Ma & Shangguang Yang, 2023. "The Effect of Social Network on Controlled-Release Fertilizer Use: Evidence from Rice Large-Scale Farmers in Jiangsu Province, China," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    5. Dasaratha, Krishna & He, Kevin, 2020. "Network structure and naive sequential learning," Theoretical Economics, Econometric Society, vol. 15(2), May.
    6. Itai Arieli & Fedor Sandomirskiy & Rann Smorodinsky, 2020. "On social networks that support learning," Papers 2011.05255, arXiv.org.
    7. Arieli, Itai & Babichenko, Yakov & Shlomov, Segev, 2021. "Virtually additive learning," Journal of Economic Theory, Elsevier, vol. 197(C).
    8. Itai Arieli & Yakov Babichenko & Ron Peretz & H. Peyton Young, 2018. "The Speed of Innovation Diffusion," Economics Papers 2018-W06, Economics Group, Nuffield College, University of Oxford.
    9. Christoph Aymanns & Jakob Foerster & Co-Pierre Georg & Matthias Weber, 2017. "Fake News in Social Networks," Papers 1708.06233, arXiv.org, revised Oct 2025.
    10. Aroon Narayanan, 2022. "Social learning via actions in bandit environments," Papers 2205.06107, arXiv.org.
    11. Itai Arieli & Yakov Babichenko & Manuel Mueller-Frank, 2022. "Naive Learning Through Probability Overmatching," Operations Research, INFORMS, vol. 70(6), pages 3420-3431, November.
    12. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    13. Christoph Aymanns & Jakob Foerster & Co-Pierre Georg, 2017. "Fake News in Social Networks," Working Papers on Finance 1804, University of St. Gallen, School of Finance.
    14. Hiroto Sato & Ryo Shirakawa, 2025. "Allocating Common-Value Goods," Papers 2512.20001, arXiv.org, revised Sep 2026.
    15. Wade Hann-Caruthers & Minghao Pan & Omer Tamuz, 2024. "Network and timing effects in social learning," Papers 2412.07061, arXiv.org.
    16. Sanjeev Goyal, 2015. "Networks in Economics: A Perspective on the Literature," Cambridge Working Papers in Economics 1548, Faculty of Economics, University of Cambridge.
    17. 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.
    18. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asuman Ozdaglar, 2017. "Fast and Slow Learning From Reviews," NBER Working Papers 24046, National Bureau of Economic Research, Inc.
    19. Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
    20. 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.
    21. Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
    22. Krishna Dasaratha & Benjamin Golub & Nir Hak, 2018. "Learning from Neighbors about a Changing State," Papers 1801.02042, arXiv.org, revised Nov 2022.
    23. Yurij L. Katchanov & Yulia V. Markova, 2017. "The “space of physics journals”: topological structure and the Journal Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 313-333, October.
    24. Ciliberto, Federico & Cook, Emily & Williams, Jonathan, 2017. "Network Structure and Consolidation in the U.S. Airline Industry, 1990-2015," MPRA Paper 83885, University Library of Munich, Germany.
    25. Huihui Ding & Marcus Pivato, 2021. "Deliberation and epistemic democracy," Post-Print hal-03637874, HAL.
    26. Elchanan Mossel & Manuel Mueller-Frank & Allan Sly & Omer Tamuz, 2012. "Social learning equilibria," Papers 1207.5895, arXiv.org, revised Sep 2019.
    27. 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".
    28. Arieli, Itai & Babichenko, Yakov & Peretz, Ron & Young, H. Peyton, 2020. "The speed of innovation diffusion in social networks," LSE Research Online Documents on Economics 102538, London School of Economics and Political Science, LSE Library.
    29. Xu, Wenji, 2025. "Social learning through coarse signals of others' actions," Journal of Economic Theory, Elsevier, vol. 229(C).
    30. Xuanye Wang, 2021. "Fragility of Confounded Learning," Papers 2106.07712, arXiv.org.
    31. Ningyuan Chen & Anran Li & Kalyan Talluri, 2021. "Reviews and Self-Selection Bias with Operational Implications," Management Science, INFORMS, vol. 67(12), pages 7472-7492, December.
    32. Bahar, Gal & Arieli, Itai & Smorodinsky, Rann & Tennenholtz, Moshe, 2020. "Multi-issue social learning," Mathematical Social Sciences, Elsevier, vol. 104(C), pages 29-39.
    33. Arieli, Itai & Koren, Moran & Smorodinsky, Rann, 2022. "The implications of pricing on social learning," Theoretical Economics, Econometric Society, vol. 17(4), November.
    34. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    35. 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.
    36. Jan Hązła & Ali Jadbabaie & Elchanan Mossel & M. Amin Rahimian, 2021. "Bayesian Decision Making in Groups is Hard," Operations Research, INFORMS, vol. 69(2), pages 632-654, March.
    37. Camilo García-Jimeno & Angel Iglesias & Pinar Yildirim, 2018. "Women, Rails and Telegraphs: An Empirical Study of Information Diffusion and Collective Action," NBER Working Papers 24495, National Bureau of Economic Research, Inc.
    38. Pena, Paul John & Lim, Dickson, 2019. "Learning With Friends: A Theoretical Note On The Role of Network Externalities In Human Capital Models For The New Industry," MPRA Paper 100172, University Library of Munich, Germany.
    39. Abhijit Banerjee & Olivier Compte, 2023. "Consensus and Disagreement: Information Aggregation under (not so) Naive Learning," Papers 2311.08256, arXiv.org.
    40. Manxi Wu & Saurabh Amin & Asuman Ozdaglar, 2025. "Convergence and Stability of Coupled Belief-Strategy Learning Dynamics in Continuous Games," Mathematics of Operations Research, INFORMS, vol. 50(1), pages 459-481, February.
    41. Teddy Lazebnik & Svetlana Bunimovich-Mendrazitsky & Shai Ashkenazi & Eugene Levner & Arriel Benis, 2022. "Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the US," IJERPH, MDPI, vol. 19(23), pages 1-17, November.

  11. Elchanan Mossel & Omer Tamuz, 2009. "Complete Characterization of Functions Satisfying the Conditions of Arrow's Theorem," Papers 0910.2465, arXiv.org, revised Apr 2011.

    Cited by:

    1. Salvador Barberà & Dolors Berga & Bernardo Moreno & Antonio Nicolò, 2025. "Weak pairwise justifiability as a common root of Arrow’s and the Gibbard–Satterthwaite theorems," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 65(2), pages 309-333, September.
    2. Juan Candeal, 2013. "Invariance axioms for preferences: applications to social choice theory," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(3), pages 453-471, September.
    3. Maurice Salles, 2014. "‘Social choice and welfare’ at 30: its role in the development of social choice theory and welfare economics," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 42(1), pages 1-16, January.
    4. Nicolas Gabriel Andjiga & Issofa Moyouwou & Monge Kleber Kamdem Ouambo, 2017. "Avoiding Majority Dissatisfaction on a Series of Majority Decisions," Group Decision and Negotiation, Springer, vol. 26(3), pages 453-471, May.
    5. Salvador Barberà & Dolors Berga & Bernardo Moreno & Antonio Nicolò, 2021. "Pairwise Justifiable Changes in Collective Choices," Working Papers 1256, Barcelona School of Economics.

Articles

  1. Elchanan Mossel & Manuel Mueller‐Frank & Allan Sly & Omer Tamuz, 2020. "Social Learning Equilibria," Econometrica, Econometric Society, vol. 88(3), pages 1235-1267, May.
    See citations under working paper version above.
  2. Luciano Pomatto & Philipp Strack & Omer Tamuz, 2020. "Stochastic Dominance under Independent Noise," Journal of Political Economy, University of Chicago Press, vol. 128(5), pages 1877-1900.
    See citations under working paper version above.
  3. Hann-Caruthers, Wade & Martynov, Vadim V. & Tamuz, Omer, 2018. "The speed of sequential asymptotic learning," Journal of Economic Theory, Elsevier, vol. 173(C), pages 383-409.
    See citations under working paper version above.
  4. Babichenko, Yakov & Tamuz, Omer, 2016. "Graphical potential games," Journal of Economic Theory, Elsevier, vol. 163(C), pages 889-899.
    See citations under working paper version above.
  5. Benjamini, Itai & Chan, Siu-On & O’Donnell, Ryan & Tamuz, Omer & Tan, Li-Yang, 2016. "Convergence, unanimity and disagreement in majority dynamics on unimodular graphs and random graphs," Stochastic Processes and their Applications, Elsevier, vol. 126(9), pages 2719-2733.

    Cited by:

    1. Berkowitz, Ross & Devlin, Pat, 2022. "Central limit theorem for majority dynamics: Bribing three voters suffices," Stochastic Processes and their Applications, Elsevier, vol. 146(C), pages 187-206.
    2. Chellig, Jordan & Durbac, Calina & Fountoulakis, Nikolaos, 2022. "Best response dynamics on random graphs," Games and Economic Behavior, Elsevier, vol. 131(C), pages 141-170.
    3. Amir, Gideon & Arieli, Itai & Ashkenazi-Golan, Galit & Peretz, Ron, 2025. "Granular DeGroot dynamics – A model for robust naive learning in social networks," Journal of Economic Theory, Elsevier, vol. 223(C).
    4. 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.
    5. Amir, Gideon & Baldasso, Rangel & Beilin, Nissan, 2023. "Majority dynamics and the median process: Connections, convergence and some new conjectures," Stochastic Processes and their Applications, Elsevier, vol. 155(C), pages 437-458.
    6. Chellig, Jordan & Fountoulakis, Nikolaos, 2025. "Majority dynamics on random graphs: The multiple states case," Stochastic Processes and their Applications, Elsevier, vol. 189(C).

  6. Elchanan Mossel & Allan Sly & Omer Tamuz, 2015. "Strategic Learning and the Topology of Social Networks," Econometrica, Econometric Society, vol. 83(5), pages 1755-1794, September.
    See citations under working paper version above.
  7. Finucane, Hilary & Tamuz, Omer & Yaari, Yariv, 2014. "Scenery reconstruction on finite abelian groups," Stochastic Processes and their Applications, Elsevier, vol. 124(8), pages 2754-2770.

    Cited by:

    1. Hildebrand, Martin, 2017. "A condition for distinguishing sceneries on non-abelian groups," Stochastic Processes and their Applications, Elsevier, vol. 127(7), pages 2339-2345.
    2. Gross, Renan, 2024. "Brownian motion can feel the shape of a drum," Stochastic Processes and their Applications, Elsevier, vol. 167(C).

  8. Elchanan Mossel & Omer Tamuz, 2012. "Complete characterization of functions satisfying the conditions of Arrow’s theorem," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 39(1), pages 127-140, June.
    See citations under working paper version above.
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