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Manuel Mueller-Frank

Personal Details

First Name:Manuel
Middle Name:
Last Name:Mueller-Frank
Suffix:
RePEc Short-ID:pmu803
[This author has chosen not to make the email address public]
http://sites.google.com/site/muellerfrankmanuel/

Affiliation

IESE Business School
Universidad de Navarra

Barcelona, Spain
http://www.iese.edu/
RePEc:edi:ienaves (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Yi-Chun Chen & Manuel Mueller-Frank & Mallesh M Pai, 2021. "The Wisdom of the Crowd and Higher-Order Beliefs," Papers 2102.02666, arXiv.org, revised Nov 2021.
  2. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "Multi-Dimensional Social Learning," IESE Research Papers D/1117, IESE Business School.
  3. Mueller-Frank, Manuel & M. Pai, Mallesh, 2015. "Do Online Social Networks Increase Welfare?," IESE Research Papers D/1118, IESE Business School.
  4. 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.
  5. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "Social Learning and the Vanishing Value of Private Information," IESE Research Papers D/1119, IESE Business School.
  6. Mueller-Frank, Manuel, 2015. "Reaching Consensus in Social Networks," IESE Research Papers D/1116, IESE Business School.
  7. Elchanan Mossel & Manuel Mueller-Frank & Allan Sly & Omer Tamuz, 2012. "Social learning equilibria," Papers 1207.5895, arXiv.org, revised Sep 2019.

Articles

  1. Koren, Moran & Mueller-Frank, Manuel, 2022. "The welfare costs of informationally efficient prices," Games and Economic Behavior, Elsevier, vol. 131(C), pages 186-196.
  2. Elchanan Mossel & Manuel Mueller‐Frank & Allan Sly & Omer Tamuz, 2020. "Social Learning Equilibria," Econometrica, Econometric Society, vol. 88(3), pages 1235-1267, May.
  3. Itai Arieli & Manuel Mueller-Frank, 2019. "Multidimensional Social Learning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 913-940.
  4. Mueller-Frank, Manuel, 2018. "Local openness: Characterization of a robustness concept for generic sets in function spaces," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 173-178.
  5. Arieli, Itai & Mueller-Frank, Manuel, 2017. "Inferring beliefs from actions," Games and Economic Behavior, Elsevier, vol. 102(C), pages 455-461.
  6. Manuel Mueller-Frank & Mallesh M. Pai, 2016. "Social Learning with Costly Search," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 83-109, February.
  7. Mueller-Frank, Manuel, 2014. "Does one Bayesian make a difference?," Journal of Economic Theory, Elsevier, vol. 154(C), pages 423-452.
  8. ,, 2013. "A general framework for rational learning in social networks," Theoretical Economics, Econometric Society, vol. 8(1), January.

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. Yi-Chun Chen & Manuel Mueller-Frank & Mallesh M Pai, 2021. "The Wisdom of the Crowd and Higher-Order Beliefs," Papers 2102.02666, arXiv.org, revised Nov 2021.

    Cited by:

    1. Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.

  2. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "Multi-Dimensional Social Learning," IESE Research Papers D/1117, IESE Business School.

    Cited by:

    1. Srinivas Arigapudi & Omer Edhan & Yuval Heller & Ziv Hellman, 2022. "Mentors and Recombinators: Multi-Dimensional Social Learning," Papers 2205.00278, arXiv.org, revised Nov 2023.
    2. Itai Arieli & Fedor Sandomirskiy & Rann Smorodinsky, 2020. "On social networks that support learning," Papers 2011.05255, arXiv.org.
    3. Amir Ban & Moran Koren, 2020. "A Practical Approach to Social Learning," Papers 2002.11017, arXiv.org.
    4. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    5. Wade Hann-Caruthers & Minghao Pan & Omer Tamuz, 2024. "Network and timing effects in social learning," Papers 2412.07061, arXiv.org.
    6. Aleksei Smirnov & Egor Starkov, 2024. "Designing Social Learning," Papers 2405.05744, arXiv.org, revised Dec 2024.
    7. Arieli, Itai & Koren, Moran & Smorodinsky, Rann, 2022. "The implications of pricing on social learning," Theoretical Economics, Econometric Society, vol. 17(4), November.
    8. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "Social Learning and the Vanishing Value of Private Information," IESE Research Papers D/1119, IESE Business School.

  3. Mueller-Frank, Manuel & M. Pai, Mallesh, 2015. "Do Online Social Networks Increase Welfare?," IESE Research Papers D/1118, IESE Business School.

    Cited by:

    1. Carlo Reggiani & Alejandro Saporiti & Lois Simanjuntak, 2018. "Social Information and Consumer Heterogeneity," Economics Discussion Paper Series 1813, Economics, The University of Manchester.

  4. 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.

    Cited by:

    1. Dasaratha, Krishna & He, Kevin, 2020. "Network structure and naive sequential learning," Theoretical Economics, Econometric Society, vol. 15(2), May.
    2. J. Aislinn Bohren, 2013. "Informational Herding with Model Misspecification," PIER Working Paper Archive 14-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. Krishna Dasaratha & Kevin He, 2019. "An Experiment on Network Density and Sequential Learning," Papers 1909.02220, arXiv.org, revised May 2021.

  5. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "Social Learning and the Vanishing Value of Private Information," IESE Research Papers D/1119, IESE Business School.

    Cited by:

    1. Bar Ifrach & Costis Maglaras & Marco Scarsini, 2012. "Monopoly Pricing in the Presence of Social Learning," Working Papers 12-01, NET Institute, revised Sep 2012.
    2. Arieli, Itai, 2017. "Payoff externalities and social learning," Games and Economic Behavior, Elsevier, vol. 104(C), pages 392-410.

  6. Mueller-Frank, Manuel, 2015. "Reaching Consensus in Social Networks," IESE Research Papers D/1116, IESE Business School.

    Cited by:

    1. Christos Mavridis & Nikolas Tsakas, 2021. "Social Capital, Communication Channels and Opinion Formation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 56(4), pages 635-678, May.
    2. 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.
    3. Steven Kivinen & Norovsambuu Tumennasan, 2016. "Consensus in Social Networks: Revisited," Working Papers daleconwp2016-05, Dalhousie University, Department of Economics.

  7. 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. Bikhchandani, Sushil & Hirshleifer, David & Tamuz, Omer & Welch, Ivo, 2021. "Information Cascades and Social Learning," MPRA Paper 107927, University Library of Munich, Germany.
    4. Enrique Urbano Arellano & Xinyang Wang, 2023. "Social Learning of General Rules," Papers 2310.15861, arXiv.org.
    5. Kevin He & Fedor Sandomirskiy & Omer Tamuz, 2022. "Private Private Information," PIER Working Paper Archive 22-004, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. 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.
    7. Emilien Macault, 2022. "Stochastic Consensus and the Shadow of Doubt," Papers 2201.12100, arXiv.org.
    8. 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.

Articles

  1. Koren, Moran & Mueller-Frank, Manuel, 2022. "The welfare costs of informationally efficient prices," Games and Economic Behavior, Elsevier, vol. 131(C), pages 186-196.

    Cited by:

    1. Arieli, Itai & Koren, Moran & Smorodinsky, Rann, 2022. "The implications of pricing on social learning," Theoretical Economics, Econometric Society, vol. 17(4), November.

  2. 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.
  3. Itai Arieli & Manuel Mueller-Frank, 2019. "Multidimensional Social Learning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 913-940.
    See citations under working paper version above.
  4. Arieli, Itai & Mueller-Frank, Manuel, 2017. "Inferring beliefs from actions," Games and Economic Behavior, Elsevier, vol. 102(C), pages 455-461.

    Cited by:

    1. Elchanan Mossel & Allan Sly & Omer Tamuz, 2012. "Strategic Learning and the Topology of Social Networks," Papers 1209.5527, arXiv.org, revised May 2015.
    2. Ali, S. Nageeb, 2018. "On the role of responsiveness in rational herds," Economics Letters, Elsevier, vol. 163(C), pages 79-82.
    3. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    4. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "Multi-Dimensional Social Learning," IESE Research Papers D/1117, IESE Business School.
    5. 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.
    6. Pooya Molavi & Ceyhun Eksin & Alejandro Ribeiro & Ali Jadbabaie, 2016. "Learning to Coordinate in Social Networks," Operations Research, INFORMS, vol. 64(3), pages 605-621, June.

  5. Manuel Mueller-Frank & Mallesh M. Pai, 2016. "Social Learning with Costly Search," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 83-109, February.

    Cited by:

    1. Harry Pei, 2020. "Reputation Building under Observational Learning," Papers 2006.08068, arXiv.org, revised Nov 2020.
    2. Jacob Glazer & Ilan Kremer & Motty Perry, 2021. "The Wisdom of the Crowd When Acquiring Information Is Costly," Management Science, INFORMS, vol. 67(10), pages 6443-6456, October.
    3. , & ,, 2015. "Information diffusion in networks through social learning," Theoretical Economics, Econometric Society, vol. 10(3), September.
    4. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2017_1716, CEMFI.
    5. 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.
    6. Saori CHIBA, 2018. "Hidden Profiles and Persuasion Cascades in Group Decision-Making," Discussion papers e-18-001, Graduate School of Economics , Kyoto University.
    7. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    8. Carlo Reggiani & Alejandro Saporiti & Lois Simanjuntak, 2018. "Social Information and Consumer Heterogeneity," Economics Discussion Paper Series 1813, Economics, The University of Manchester.
    9. Nina Bobkova & Helene Mass, 2023. "Two-Dimensional Information Acquisition in Social Learning," CRC TR 224 Discussion Paper Series crctr224_2023_433, University of Bonn and University of Mannheim, Germany.
    10. Mueller-Frank, Manuel & Arieliy, Itai, 2015. "Social Learning and the Vanishing Value of Private Information," IESE Research Papers D/1119, IESE Business School.
    11. Ali, S. Nageeb, 2018. "Herding with costly information," Journal of Economic Theory, Elsevier, vol. 175(C), pages 713-729.

  6. Mueller-Frank, Manuel, 2014. "Does one Bayesian make a difference?," Journal of Economic Theory, Elsevier, vol. 154(C), pages 423-452.

    Cited by:

    1. Berno Buechel & Tim Hellmann & Stefan Kölßner, 2014. "Opinion Dynamics and Wisdom under Conformity," Working Papers 2014.51, Fondazione Eni Enrico Mattei.
    2. Polanski, Arnold & Vega-Redondo, Fernando, 2023. "Homophily and influence," Journal of Economic Theory, Elsevier, vol. 207(C).
    3. 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.
    4. Bikhchandani, Sushil & Hirshleifer, David & Tamuz, Omer & Welch, Ivo, 2021. "Information Cascades and Social Learning," MPRA Paper 107927, University Library of Munich, Germany.
    5. Elchanan Mossel & Manuel Mueller‐Frank & Allan Sly & Omer Tamuz, 2020. "Social Learning Equilibria," Econometrica, Econometric Society, vol. 88(3), pages 1235-1267, May.
    6. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
    7. 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.
    8. Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
    9. Steven Kivinen & Norovsambuu Tumennasan, 2016. "Consensus in Social Networks: Revisited," Working Papers daleconwp2016-05, Dalhousie University, Department of Economics.
    10. Huihui Ding & Marcus Pivato, 2021. "Deliberation and epistemic democracy," Post-Print hal-03637874, HAL.
    11. Mueller-Frank, Manuel, 2015. "Reaching Consensus in Social Networks," IESE Research Papers D/1116, IESE Business School.
    12. Foerster, Manuel, 2019. "Dynamics of strategic information transmission in social networks," Theoretical Economics, Econometric Society, vol. 14(1), January.
    13. Mueller-Frank, Manuel & Neri, Claudia, 2021. "A general analysis of boundedly rational learning in social networks," Theoretical Economics, Econometric Society, vol. 16(1), January.
    14. 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.
    15. Michele Crescenzi, 2023. "Group knowledge and individual introspection," Papers 2305.08729, arXiv.org, revised Sep 2024.
    16. Dimitri Migrow, 2022. "Strategic Observational Learning," Papers 2212.09889, arXiv.org, revised Jan 2023.

  7. ,, 2013. "A general framework for rational learning in social networks," Theoretical Economics, Econometric Society, vol. 8(1), January.

    Cited by:

    1. Berno Buechel & Tim Hellmann & Stefan Kölßner, 2014. "Opinion Dynamics and Wisdom under Conformity," Working Papers 2014.51, Fondazione Eni Enrico Mattei.
    2. Mueller-Frank, Manuel, 2014. "Does one Bayesian make a difference?," Journal of Economic Theory, Elsevier, vol. 154(C), pages 423-452.
    3. Christos Mavridis & Nikolas Tsakas, 2021. "Social Capital, Communication Channels and Opinion Formation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 56(4), pages 635-678, May.
    4. Elchanan Mossel & Allan Sly & Omer Tamuz, 2012. "Strategic Learning and the Topology of Social Networks," Papers 1209.5527, arXiv.org, revised May 2015.
    5. 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.
    6. Hanna, Rema N. & Alatas, Vivi & Banerjee, Abhijit & Chandrasekhar, Arun G. & Olken, Benjamin A., 2012. "Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia," Scholarly Articles 9804490, Harvard Kennedy School of Government.
    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. 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.
    10. James C. D. Fisher & John Wooders, 2017. "Interacting information cascades: on the movement of conventions between groups," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 63(1), pages 211-231, January.
    11. Li, Wei & Tan, Xu, 2020. "Locally Bayesian learning in networks," Theoretical Economics, Econometric Society, vol. 15(1), January.
    12. Cabrales, Antonio; Gale, Douglas; Gottardi, Piero, 2015. "Financial Contagion in Networks," Economics Working Papers ECO2015/01, European University Institute.
    13. Ilan Lobel & Evan Sadler, 2016. "Preferences, Homophily, and Social Learning," Operations Research, INFORMS, vol. 64(3), pages 564-584, June.
    14. Foerster, Manuel, 2018. "Finite languages, persuasion bias, and opinion fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 46-57.
    15. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    16. John Barrdear, 2014. "Peering into the mist: social learning over an opaque observation network," Discussion Papers 1409, Centre for Macroeconomics (CFM).
    17. Sanjeev Goyal, 2015. "Networks in Economics: A Perspective on the Literature," Cambridge Working Papers in Economics 1548, Faculty of Economics, University of Cambridge.
    18. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
    19. Berno Buechel & Stefan Klößner & Martin Lochmüller & Heiko Rauhut, 2020. "The strength of weak leaders: an experiment on social influence and social learning in teams," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 259-293, June.
    20. Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
    21. 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.
    22. Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
    23. Huihui Ding & Marcus Pivato, 2021. "Deliberation and epistemic democracy," Post-Print hal-03637874, HAL.
    24. Marco Pelliccia, 2013. "Ambiguous Networks," Birkbeck Working Papers in Economics and Finance 1303, Birkbeck, Department of Economics, Mathematics & Statistics.
    25. 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.
    26. Foerster, Manuel, 2019. "Dynamics of strategic information transmission in social networks," Theoretical Economics, Econometric Society, vol. 14(1), January.
    27. Ionel Popescu & Tushar Vaidya, 2019. "Averaging plus Learning Models and Their Asymptotics," Papers 1904.08131, arXiv.org, revised Jul 2023.
    28. Markus Mobius & Tuan Phan & Adam Szeidl, 2015. "Treasure Hunt: Social Learning in the Field," NBER Working Papers 21014, National Bureau of Economic Research, Inc.
    29. Ilan Lobel & Evan Sadler, 2013. "Preferences, Homophily, and Social Learning," Working Papers 13-01, NET Institute.
    30. Azomahou, T. & Opolot, D., 2014. "Beliefs dynamics in communication networks," MERIT Working Papers 2014-034, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    31. Pooya Molavi & Ceyhun Eksin & Alejandro Ribeiro & Ali Jadbabaie, 2016. "Learning to Coordinate in Social Networks," Operations Research, INFORMS, vol. 64(3), pages 605-621, June.
    32. 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.
    33. Michele Crescenzi, 2021. "Learning to agree over large state spaces," Papers 2105.06313, arXiv.org, revised Feb 2022.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MIC: Microeconomics (1) 2021-04-12

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