Pooya Molavi
Personal Details
First Name: | Pooya |
Middle Name: | |
Last Name: | Molavi |
Suffix: | |
RePEc Short-ID: | pmo980 |
[This author has chosen not to make the email address public] | |
Affiliation
(50%) Becker Friedman Institute for Research in Economics
University of Chicago
Chicago, Illinois (United States)http://bfi.uchicago.edu/
RePEc:edi:mfichus (more details at EDIRC)
(50%) Managerial Economics and Decision Sciences (MEDS)
Kellogg Graduate School of Management
Northwestern University
Evanston, Illinois (United States)http://www.kellogg.northwestern.edu/meds/index.htm
RePEc:edi:menwuus (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Pooya Molavi, 2019. "Macroeconomics with Learning and Misspecification: A General Theory and Applications," 2019 Meeting Papers 1584, Society for Economic Dynamics.
Articles
- Pooya Molavi & Alireza Tahbaz‐Salehi & Ali Jadbabaie, 2018. "A Theory of Non‐Bayesian Social Learning," Econometrica, Econometric Society, vol. 86(2), pages 445-490, March.
- 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.
- 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.
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
- Pooya Molavi, 2019.
"Macroeconomics with Learning and Misspecification: A General Theory and Applications,"
2019 Meeting Papers
1584, Society for Economic Dynamics.
Cited by:
- George-Marios Angeletos & Chen Lian, 2020. "Confidence and the Propagation of Demand Shocks," NBER Working Papers 27702, National Bureau of Economic Research, Inc.
- Frick, Mira & Iijima, Ryota & Ishii, Yuhta, 2021.
"Belief Convergence under Misspecified Learning: A Martingale Approach,"
CEPR Discussion Papers
16788, C.E.P.R. Discussion Papers.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R2, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
- 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.
- Angeletos, Georges Marios & Collard, Fabrice & Dellas, Harris, 2020.
"Business Cycle Anatomy,"
TSE Working Papers
20-1065, Toulouse School of Economics (TSE).
- George-Marios Angeletos & Fabrice Collard & Harris Dellas, 2018. "Business Cycle Anatomy," NBER Working Papers 24875, National Bureau of Economic Research, Inc.
- George-Marios Angeletos & Fabrice Collard & Harris Dellas, 2020. "Business-Cycle Anatomy," American Economic Review, American Economic Association, vol. 110(10), pages 3030-3070, October.
- George-Marios Angeletos & Fabrice Collard & Harris Dellas, 2020. "Business-Cycle Anatomy," Post-Print hal-03039252, HAL.
- Anastasios G. Karantounias, 2020. "Doubts about the Model and Optimal Policy," FRB Atlanta Working Paper 2020-12, Federal Reserve Bank of Atlanta.
- Nick Netzer & Arthur Robson & Jakub Steiner & Pavel Kocourek, 2022.
"Endogenous Risk Attitudes,"
CESifo Working Paper Series
9547, CESifo.
- Kocourek, Pavel & Netzer, Nick & Robson, Arthur & Steiner, Jakub, 2021. "Endogenous Risk Attitudes," CEPR Discussion Papers 16190, C.E.P.R. Discussion Papers.
- Eleni Iliopulos & Erica Perego & Thepthida Sopraseuth, 2019.
"International Business Cycles: Information Matters,"
Working Papers
2019-03, CEPII research center.
- Eleni Iliopulos & Erica Perego & Thepthida Sopraseuth, 2018. "International business cycles: Information matters," THEMA Working Papers 2018-13, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Iliopulos, Eleni & Perego, Erica & Sopraseuth, Thepthida, 2021. "International business cycles: Information matters," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 19-34.
- Eleni Iliopulos & Erica Perego & Thepthida Sopraseuth, 2021. "International business cycles: Information matters," Post-Print hal-03679001, HAL.
- Barrero, Jose Maria, 2022.
"The micro and macro of managerial beliefs,"
Journal of Financial Economics, Elsevier, vol. 143(2), pages 640-667.
- Barrero, Jose Maria, 2020. "The Micro and Macro of Managerial Beliefs," SocArXiv fctsb, Center for Open Science.
- Peter Andre & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2021.
"Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples,"
ECONtribute Discussion Papers Series
119, University of Bonn and University of Cologne, Germany.
- Andre, Peter & Pizzinelli, Carlo & Roth, Christopher & Wohlfart, Johannes, 2021. "Subjective Models of the Macroeconomy : Evidence from Experts and a Representative Sample," The Warwick Economics Research Paper Series (TWERPS) 1342, University of Warwick, Department of Economics.
- Peter Andre & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2019. "Subjective Models of the Macroeconomy: Evidence from Experts and Representative Samples," CESifo Working Paper Series 7850, CESifo.
- Peter Andre & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2019. "Subjective Models Of The Macroeconomy: Evidence From Experts And A Representative Sample," CEBI working paper series 19-11, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
- Kfir Eliaz & Ran Spiegler & Yair Weiss, 2019.
"Cheating with (Recursive) Models,"
Papers
1911.01251, arXiv.org.
- Eliaz, Kfir & Spiegler, Ran & Weiss, Yair, 2019. "Cheating with (recursive) models," CEPR Discussion Papers 14100, C.E.P.R. Discussion Papers.
- Kevin He & Jonathan Libgober, 2021.
"Evolutionarily Stable (Mis)specifications:Theory and Applications,"
PIER Working Paper Archive
21-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Kevin He & Jonathan Libgober, 2020. "Evolutionarily Stable (Mis)specifications: Theory and Applications," Papers 2012.15007, arXiv.org, revised Aug 2022.
- Drew Fudenberg & Giacomo Lanzani & Philipp Strack, 2021. "Limit Points of Endogenous Misspecified Learning," Econometrica, Econometric Society, vol. 89(3), pages 1065-1098, May.
- Takeshi Murooka & Yuichi Yamamoto, 2021. "Misspecified Bayesian Learning by Strategic Players: First-Order Misspecification and Higher-Order Misspecification," OSIPP Discussion Paper 21E008, Osaka School of International Public Policy, Osaka University.
- Macaulay, Alistair & Song, Wenting, 2022.
"Narrative-Driven Fluctuations in Sentiment: Evidence Linking Traditional and Social Media,"
MPRA Paper
113620, University Library of Munich, Germany.
- Alistair Macaulay & Wenting Song, 2022. "Narrative-Driven Fluctuations in Sentiment: Evidence Linking Traditional and Social Media," Economics Series Working Papers 973, University of Oxford, Department of Economics.
- George-Marios Angeletos & Zhen Huo & Karthik A. Sastry, 2020.
"Imperfect Macroeconomic Expectations: Evidence and Theory,"
NBER Chapters, in: NBER Macroeconomics Annual 2020, volume 35, pages 1-86,
National Bureau of Economic Research, Inc.
- George-Marios Angeletos & Zhen Huo & Karthik A. Sastry, 2020. "Imperfect Macroeconomic Expectations: Evidence and Theory," NBER Working Papers 27308, National Bureau of Economic Research, Inc.
- George-Marios Angeletos & Zhen Huo & Karthik A. Sastry, 2021. "Imperfect Macroeconomic Expectations: Evidence and Theory," NBER Macroeconomics Annual, University of Chicago Press, vol. 35(1), pages 1-86.
- Gáti, Laura, 2022. "Monetary policy & anchored expectations: an endogenous gain learning model," Working Paper Series 2685, European Central Bank.
- Peter Andrebriq & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2022. "Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples [Rationally Confused: On the Aggregate Implications of Information Provision Policies]," Review of Economic Studies, Oxford University Press, vol. 89(6), pages 2958-2991.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Stability and Robustness in Misspecified Learning Models," Cowles Foundation Discussion Papers 2235, Cowles Foundation for Research in Economics, Yale University.
- Ignacio Esponda & Demian Pouzo & Yuichi Yamamoto, 2019. "Asymptotic Behavior of Bayesian Learners with Misspecified Models," Papers 1904.08551, arXiv.org, revised Oct 2019.
- Yingkai Li & Harry Pei, 2020. "Misspecified Beliefs about Time Lags," Papers 2012.07238, arXiv.org.
- Takeshi Murooka & Yuichi Yamamoto, 2021. "Multi-Player Bayesian Learning with Misspecified Models," OSIPP Discussion Paper 21E001, Osaka School of International Public Policy, Osaka University.
- Fudenberg, Drew & Lanzani, Giacomo, 0. "Which misspecifications persist?," Theoretical Economics, Econometric Society.
- Alistair Macaulay, 2022. "Heterogeneous Information, Subjective Model Beliefs, and the Time-Varying Transmission of Shocks," CESifo Working Paper Series 9733, CESifo.
- Fudenberg, Drew & Lanzani, Giacomo & Strack, Philipp, 0. "Pathwise concentration bounds for Bayesian beliefs," Theoretical Economics, Econometric Society.
- Anmol Bhandari & Jaroslav Borovicka & Paul Ho, 2019. "Survey Data and Subjective Beliefs in Business Cycle Models," Working Paper 19-14, Federal Reserve Bank of Richmond.
Articles
- Pooya Molavi & Alireza Tahbaz‐Salehi & Ali Jadbabaie, 2018.
"A Theory of Non‐Bayesian Social Learning,"
Econometrica, Econometric Society, vol. 86(2), pages 445-490, March.
Cited by:
- 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".
- 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).
- Dasaratha, Krishna & He, Kevin, 2020.
"Network structure and naive sequential learning,"
Theoretical Economics, Econometric Society, vol. 15(2), May.
- Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.
- Sebastiano Della Lena & Luca Paolo Merlino, 2021. "Group Identity, Social Learning and Opinion Dynamics," Papers 2110.07226, arXiv.org, revised May 2022.
- Arieli, Itai & Babichenko, Yakov & Shlomov, Segev, 2021. "Virtually additive learning," Journal of Economic Theory, Elsevier, vol. 197(C).
- Glass, Catherine A. & Glass, David H., 2021. "Opinion dynamics of social learning with a conflicting source," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
- Crès, Hervé & Tvede, Mich, 2022. "Aggregation of opinions in networks of individuals and collectives," Journal of Economic Theory, Elsevier, vol. 199(C).
- 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.
- Goutte, Maud-Rose, 2022. "Do actions speak louder than words? Evidence from microblogs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
- Catherine A. Glass & David H. Glass, 2021. "Social Influence of Competing Groups and Leaders in Opinion Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 799-823, October.
- Wanying Huang & Philipp Strack & Omer Tamuz, 2021. "Learning in Repeated Interactions on Networks," Papers 2112.14265, arXiv.org, revised May 2022.
- 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.
- Kivinen, Steven & Tumennasan, Norovsambuu, 2019.
"Consensus in social networks: Revisited,"
Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 11-18.
- Steven Kivinen & Norovsambuu Tumennasan, 2016. "Consensus in Social Networks: Revisited," Working Papers daleconwp2016-05, Dalhousie University, Department of Economics.
- Cao, GangCheng & Fang, Debin & Wang, Pengyu, 2021. "The impacts of social learning on a real-time pricing scheme in the electricity market," Applied Energy, Elsevier, vol. 291(C).
- Wang, Pengyu & Fang, Debin & Cao, GangCheng, 2022. "How social learning affects customer behavior under the implementation of TOU in the electricity retailing market," Energy Economics, Elsevier, vol. 106(C).
- Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
- Marcos R. Fernandes, 2022. "Confirmation Bias in Social Networks," Papers 2207.12594, arXiv.org, revised Jan 2023.
- Lou, Youcheng & Wang, Shouyang, 2021. "The equivalence of two rational expectations equilibrium economies with different approaches to processing neighbors’ information," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 93-105.
- 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.
Cited by:
- Furkan Sezer & Hossein Khazaei & Ceyhun Eksin, 2021. "Social Welfare Maximization and Conformism via Information Design in Linear-Quadratic-Gaussian Games," Papers 2102.13047, arXiv.org.
- Furkan Sezer & Ceyhun Eksin, 2022. "Information Preferences of Individual Agents in Linear-Quadratic-Gaussian Network Games," Papers 2203.13056, arXiv.org.
- Hüning, Hendrik & Meub, Lukas, 2015. "Optimal public information dissemination: Introducing observational learning into a generalized beauty contest," University of Göttingen Working Papers in Economics 260, University of Goettingen, Department of Economics.
- Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016.
"Networks: An Economic Perspective,"
Papers
1608.07901, arXiv.org.
- Jackson, Matthew O. & Rogers, Brian & Zenou, Yves, 2016. "Networks: An economic perspective," CEPR Discussion Papers 11452, C.E.P.R. Discussion Papers.
- Edward Anderson & David Gamarnik & Anton Kleywegt & Asuman Ozdaglar, 2016. "Preface to the Special Issue on Information and Decisions in Social and Economic Networks," Operations Research, INFORMS, vol. 64(3), pages 561-563, June.
- Hüning, Hendrik & Meub, Lukas, 2016. "Optimal public information dissemination: Introducing multiplier effects into a generalized beauty contest," University of Göttingen Working Papers in Economics 260 [rev.], University of Goettingen, Department of Economics.
- Hüning, Hendrik & Meub, Lukas, 2015. "Optimal public information dissemination: Introducing observational learning into a generalized beauty contest," HWWI Research Papers 169, Hamburg Institute of International Economics (HWWI).
- 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.
Cited by:
- Michel Grabisch & Agnieszka Rusinowska, 2020.
"A Survey on Nonstrategic Models of Opinion Dynamics,"
Games, MDPI, vol. 11(4), pages 1-29, December.
- Michel Grabisch & Agnieszka Rusinowska, 2021. "A Survey on Nonstrategic Models of Opinion Dynamics," Post-Print halshs-03167886, HAL.
- Michel Grabisch & Agnieszka Rusinowska, 2020. "A Survey on Nonstrategic Models of Opinion Dynamics," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03161820, HAL.
- Michel Grabisch & Agnieszka Rusinowska, 2021. "A Survey on Nonstrategic Models of Opinion Dynamics," Documents de travail du Centre d'Economie de la Sorbonne 21005, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- 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.
- Michel Grabisch & Agnieszka Rusinowska, 2020. "A Survey on Nonstrategic Models of Opinion Dynamics," Post-Print halshs-03161820, HAL.
- Michel Grabisch & Agnieszka Rusinowska, 2020. "A Survey on Nonstrategic Models of Opinion Dynamics," PSE-Ecole d'économie de Paris (Postprint) halshs-03161820, HAL.
- Matan Harel & Elchanan Mossel & Philipp Strack & Omer Tamuz, 2021.
"Rational Groupthink,"
The Quarterly Journal of Economics, Oxford University Press, vol. 136(1), pages 621-668.
- Matan Harel & Elchanan Mossel & Philipp Strack & Omer Tamuz, 2014. "Rational Groupthink," Papers 1412.7172, arXiv.org, revised Jun 2020.
- Huihui Ding & Marcus Pivato, 2021.
"Deliberation and epistemic democracy,"
Post-Print
hal-03637874, HAL.
- Ding, Huihui & Pivato, Marcus, 2021. "Deliberation and epistemic democracy," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 138-167.
- Edoardo Gallo & Alastair Langtry, 2020. "Social networks, confirmation bias and shock elections," Papers 2011.00520, arXiv.org.
- Kwon, Seokbeom & Motohashi, Kazuyuki, 2017. "How institutional arrangements in the National Innovation System affect industrial competitiveness: A study of Japan and the U.S. with multiagent simulation," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 221-235.
- Eger, Steffen, 2016. "Opinion dynamics and wisdom under out-group discrimination," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 97-107.
- Berno Buechel & Tim Hellmann & Stefan Kölßner, 2014.
"Opinion Dynamics and Wisdom under Conformity,"
Working Papers
2014.51, Fondazione Eni Enrico Mattei.
- Buechel, Berno & Tim, Hellmann & Kölßner, Stefan, 2014. "Opinion Dynamics and Wisdom under Conformity," Climate Change and Sustainable Development 172707, Fondazione Eni Enrico Mattei (FEEM).
- Büchel, Berno & Hellmann, Tim & Klößner, Stefan, 2013. "Opinion Dynamics and Wisdom under Conformity," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79770, Verein für Socialpolitik / German Economic Association.
- 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.
- Buechel, Berno & Hellmann, Tim & Klößner, Stefan, 2014. "Opinion dynamics and wisdom under conformity," Center for Mathematical Economics Working Papers 469, Center for Mathematical Economics, Bielefeld University.
- Pietro Dindo & Filippo Massari, 2017. "The Wisdom of the Crowd in Dynamic Economies," Working Papers 2017:17, Department of Economics, University of Venice "Ca' Foscari", revised 2018.
- Benjamin Golub & Stephen Morris, 2020. "Expectations, Networks, and Conventions," Papers 2009.13802, arXiv.org.
- Mueller-Frank, Manuel, 2015. "Reaching Consensus in Social Networks," IESE Research Papers D/1116, IESE Business School.
- Low, Nicholas Kah Yean & Melatos, Andrew, 2022. "Discerning media bias within a network of political allies and opponents: The idealized example of a biased coin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
- Pnina Feldman & Yiangos Papanastasiou & Ella Segev, 2019. "Social Learning and the Design of New Experience Goods," Management Science, INFORMS, vol. 65(5), pages 1502-1519, April.
- Matjaž Steinbacher & Mitja Steinbacher, 2019. "Opinion Formation with Imperfect Agents as an Evolutionary Process," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 479-505, February.
- Aislinn Bohren & Daniel Hauser, 2017.
"Bounded Rationality And Learning: A Framwork and A Robustness Result,"
PIER Working Paper Archive
17-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 May 2017.
- Bohren, Aislinn & Hauser, Daniel, 2017. "Bounded Rationality And Learning: A Framework and A Robustness Result," CEPR Discussion Papers 12036, C.E.P.R. Discussion Papers.
- Dasaratha, Krishna & He, Kevin, 2020.
"Network structure and naive sequential learning,"
Theoretical Economics, Econometric Society, vol. 15(2), May.
- Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.
- 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.
- 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.
- Guodong Shi & Alexandre Proutiere & Mikael Johansson & John S. Baras & Karl H. Johansson, 2016. "The Evolution of Beliefs over Signed Social Networks," Operations Research, INFORMS, vol. 64(3), pages 585-604, June.
- KWON Seokbeom & MOTOHASHI Kazuyuki, 2015. "How Institutional Arrangements in the National Innovation System Affect Industrial Competitiveness: A study of Japan and the United States with multiagent simulation," Discussion papers 15065, Research Institute of Economy, Trade and Industry (RIETI).
- Ionel Popescu & Tushar Vaidya, 2019. "Averaging plus Learning Models and Their Asymptotics," Papers 1904.08131, arXiv.org, revised Oct 2022.
- Sebastiano Della Lena & Luca Paolo Merlino, 2021. "Group Identity, Social Learning and Opinion Dynamics," Papers 2110.07226, arXiv.org, revised May 2022.
- Arieli, Itai & Babichenko, Yakov & Shlomov, Segev, 2021. "Virtually additive learning," Journal of Economic Theory, Elsevier, vol. 197(C).
- Levy, Gilat & Razin, Ronny, 2018. "Information diffusion in networks with the Bayesian Peer Influence heuristic," LSE Research Online Documents on Economics 86554, London School of Economics and Political Science, LSE Library.
- Christoph Aymanns & Jakob Foerster & Co-Pierre Georg, 2017. "Fake News in Social Networks," Papers 1708.06233, arXiv.org.
- Glass, Catherine A. & Glass, David H., 2021. "Opinion dynamics of social learning with a conflicting source," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
- Ilan Lobel & Evan Sadler, 2013. "Preferences, Homophily, and Social Learning," Working Papers 13-01, NET Institute.
- Matthew Ellman, 2017. "Online Social Networks: Approval by Design," Working Papers 17-18, NET Institute.
- 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.
- Bar Ifrach & Costis Maglaras & Marco Scarsini, 2012.
"Monopoly Pricing in the Presence of Social Learning,"
Working Papers
12-01, NET Institute, revised Sep 2012.
- Bar Ifrach & Costis Maglaras & Marco Scarsini, 2011. "Monopoly Pricing in the Presence of Social Learning," Working Papers 11-11, NET Institute, revised Nov 2011.
- Davide Crapis & Bar Ifrach & Costis Maglaras & Marco Scarsini, 2017. "Monopoly Pricing in the Presence of Social Learning," Management Science, INFORMS, vol. 63(11), pages 3586-3608, November.
- 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.
- 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.
- 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.
- Rajiv Sethi & Muhamet Yildiz, 2013. "Perspectives, Opinions, and Information Flows," Levine's Working Paper Archive 786969000000000934, David K. Levine.
- , & ,, 2015. "Information diffusion in networks through social learning," Theoretical Economics, Econometric Society, vol. 10(3), September.
- Fang, Aili, 2021. "The influence of communication structure on opinion dynamics in social networks with multiple true states," Applied Mathematics and Computation, Elsevier, vol. 406(C).
- Ozan Candogan & Nicole Immorlica & Bar Light & Jerry Anunrojwong, 2022. "Social Learning under Platform Influence: Consensus and Persistent Disagreement," Papers 2202.12453, arXiv.org.
- Munther A. Dahleh & Alireza Tahbaz-Salehi & John N. Tsitsiklis & Spyros I. Zoumpoulis, 2016. "Technical Note—Coordination with Local Information," Operations Research, INFORMS, vol. 64(3), pages 622-637, June.
- Catherine A. Glass & David H. Glass, 2021. "Social Influence of Competing Groups and Leaders in Opinion Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 799-823, October.
- Daron Acemoglu & Asuman E. Ozdaglar & Alireza Tahbaz Salehi, 2015.
"Networks, Shocks, and Systemic Risk,"
Levine's Bibliography
786969000000001187, UCLA Department of Economics.
- Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Networks, Shocks, and Systemic Risk," NBER Working Papers 20931, National Bureau of Economic Research, Inc.
- Fu, Guiyuan & Zhang, Weidong & Li, Zhijun, 2015. "Opinion dynamics of modified Hegselmann–Krause model in a group-based population with heterogeneous bounded confidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 558-565.
- 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.
- 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.
- Maxim Raginsky & Angelia Nedić, 2016. "Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty," Operations Research, INFORMS, vol. 64(3), pages 662-679, June.
- Golub Benjamin & Jackson Matthew O., 2012. "Does Homophily Predict Consensus Times? Testing a Model of Network Structure via a Dynamic Process," Review of Network Economics, De Gruyter, vol. 11(3), pages 1-31, September.
- Li, Wei & Tan, Xu, 2020. "Locally Bayesian learning in networks," Theoretical Economics, Econometric Society, vol. 15(1), January.
- Francesco Drago & Friederike Mengel & Christian Traxler, 2015.
"Compliance Behavior in Networks: Evidence from a Field Experiment,"
CSEF Working Papers
419, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Drago, Francesco & Mengel, Friederike & Traxler, Christian, 2015. "Compliance Behavior in Networks: Evidence from a Field Experiment," IZA Discussion Papers 9443, Institute of Labor Economics (IZA).
- Francesco Drago & Friederike Mengel & Christian Traxler, 2020. "Compliance Behavior in Networks: Evidence from a Field Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 96-133, April.
- 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.
- 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.
- Kivinen, Steven & Tumennasan, Norovsambuu, 2019.
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