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Juan Pablo Xandri Antuña
(Juan Pablo Xandri Antuna)

Personal Details

First Name:Juan
Middle Name:Pablo
Last Name:Xandri Antuna
Suffix:
RePEc Short-ID:pxa10
http://jxandri.com

Affiliation

Facultad de Ciencias Económicas y Empresariales
Universidad de los Andes (Chile)

Santiago/Las Condes, Chile
https://www.uandes.cl/facultad/ciencias-economicas-y-empresariales/
RePEc:edi:feuancl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Juan Passadore & Juan Xandri, 2019. "Robust Predictions in Dynamic Policy Games," 2019 Meeting Papers 1345, Society for Economic Dynamics.
  2. Arun G. Chandrasekhar & Robert Townsend & Juan Pablo Xandri, 2018. "Financial Centrality and Liquidity Provision," NBER Working Papers 24406, National Bureau of Economic Research, Inc.
  3. 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.

Articles

  1. Arun G. Chandrasekhar & Horacio Larreguy & Juan Pablo Xandri, 2020. "Testing Models of Social Learning on Networks: Evidence From Two Experiments," Econometrica, Econometric Society, vol. 88(1), pages 1-32, 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. Juan Passadore & Juan Xandri, 2019. "Robust Predictions in Dynamic Policy Games," 2019 Meeting Papers 1345, Society for Economic Dynamics.

    Cited by:

    1. Gaetano Bloise & Yiannis Vailakis, 2022. "On sovereign default with time-varying interest rates," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 211-224, April.

  2. 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.

    Cited by:

    1. Manuel Förster & Ana Mauleon & Vincent Vannetelbosch, 2013. "Trust and Manipulation in Social Networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00881145, HAL.
    2. Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.
    3. Pietro Ortoleva & Erik Snowberg, 2013. "Overconfidence in Political Behavior," NBER Working Papers 19250, National Bureau of Economic Research, Inc.
    4. Zenou, Yves & Olcina, Gonzalo & Panebianco, Fabrizio, 2017. "Conformism, Social Norms and the Dynamics of Assimilation," CEPR Discussion Papers 12166, C.E.P.R. Discussion Papers.
    5. Gerry Tsoukalas & Brett Hemenway Falk, 2020. "Token-Weighted Crowdsourcing," Management Science, INFORMS, vol. 66(9), pages 3843-3859, September.
    6. Beaman, Lori & Dillon, Andrew, 2018. "Diffusion of agricultural information within social networks: Evidence on gender inequalities from Mali," Journal of Development Economics, Elsevier, vol. 133(C), pages 147-161.
    7. Zakharov, Alexei & Bondarenko, Oxana, 2021. "Social status and social learning," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    8. 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.
    9. David B. Johnson & Matthew D. Webb, 2017. "An Experimental Test of the No Safety Schools Theorem," Carleton Economic Papers 17-10, Carleton University, Department of Economics.
    10. Akylai Taalaibekova, 2018. "Opinion formation in social networks," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(2), pages 85-108.
    11. 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).
    12. Alice Hsiaw & Ing-Haw Cheng, 2016. "Distrust in Experts and the Origins of Disagreement," Working Papers 110R2, Brandeis University, Department of Economics and International Business School, revised Jan 2017.
    13. Vincent Boucher & Finagnon A. Dedewanou & Arnaud Dufays, 2018. "Peer-Induced Beliefs Regarding College Participation," Cahiers de recherche 1817, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    14. Phillip Monin & Richard Bookstaber, 2017. "Information Flows, the Accuracy of Opinions, and Crashes in a Dynamic Network," Staff Discussion Papers 17-01, Office of Financial Research, US Department of the Treasury.
    15. Zenou, Yves & Jackson, Matthew O., 2012. "Games on Networks," CEPR Discussion Papers 9127, C.E.P.R. Discussion Papers.
    16. Ionel Popescu & Tushar Vaidya, 2019. "Averaging plus Learning Models and Their Asymptotics," Papers 1904.08131, arXiv.org, revised Jul 2023.
    17. Markus Mobius & Tuan Phan & Adam Szeidl, 2015. "Treasure Hunt: Social Learning in the Field," NBER Working Papers 21014, National Bureau of Economic Research, Inc.
    18. Ouedraogo, Aissatou & Dillon, Andrew & Maiga, Eugenie W.H., "undated". "Social networks, production of micronutrient-rich foods, and child health outcomes in Burkina Faso," 2018 Annual Meeting, August 5-7, Washington, D.C. 273883, Agricultural and Applied Economics Association.
    19. Tushar Vaidya & Thiparat Chotibut & Georgios Piliouras, 2019. "Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models," Papers 1906.11481, arXiv.org, revised May 2020.
    20. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    21. Vaidya, Tushar & Chotibut, Thiparat & Piliouras, Georgios, 2021. "Broken detailed balance and non-equilibrium dynamics in noisy social learning models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    22. Friederike Mengel, 2021. "Gender Bias In Opinion Aggregation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 1055-1080, August.
    23. Celhay, Pablo & Meyer, Bruce D. & Mittag, Nikolas, 2022. "Stigma in Welfare Programs," IZA Discussion Papers 15431, Institute of Labor Economics (IZA).
    24. Phillip J. Monin & Richard Bookstaber, 2021. "Information flows and crashes in dynamic social networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 471-495, July.

Articles

  1. Arun G. Chandrasekhar & Horacio Larreguy & Juan Pablo Xandri, 2020. "Testing Models of Social Learning on Networks: Evidence From Two Experiments," Econometrica, Econometric Society, vol. 88(1), pages 1-32, January.

    Cited by:

    1. Edoardo Gallo & Alastair Langtry, 2020. "Social networks, confirmation bias and shock elections," Papers 2011.00520, arXiv.org.
    2. Comola, Margherita & Rusinowska, Agnieszka & Villeval, Marie Claire, 2024. "Competing for Influence in Networks through Strategic Targeting," IZA Discussion Papers 17315, Institute of Labor Economics (IZA).
    3. Khandelwal, Vatsal, 2024. "Learning in networks with idiosyncratic agents," Games and Economic Behavior, Elsevier, vol. 144(C), pages 225-249.
    4. 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).
    5. Miguel Risco, 2025. "Network effects on information acquisition by DeGroot updaters," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 79(1), pages 201-234, February.
    6. Marina Agranov & Benjamin Gillen & Dotan Persitz, 2024. "A Comment on “Testing Models of Social Learning on Networks: Evidence From Two Experiments”," Econometrica, Econometric Society, vol. 92(5), pages 1-6, September.
    7. Florian Mudekereza, 2025. "Collective Intelligence in Dynamic Networks," Papers 2502.12660, arXiv.org, revised Jun 2025.
    8. Crès, Hervé & Tvede, Mich, 2022. "Aggregation of opinions in networks of individuals and collectives," Journal of Economic Theory, Elsevier, vol. 199(C).
    9. Wang, Ruijie & Zhou, Yuhao & Medo, Matúš, 2025. "Combining deliberate study and heuristics to form opinions on interconnected questions," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    10. 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.
    11. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    12. Bikram P. Ghosh & Michael R. Galbreth, 2023. "The weight of the crowd, social information credibility, and firm strategy," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1079-1095, April.
    13. Simone Alfarano & Albert Banal-Estañol & Eva Camacho & Giulia Iori & Burcu Kapar & Rohit Rahi, 2025. "Centralized vs Decentralized Markets: The Role of Connectivity," Working Papers 2025: 13, Department of Economics, University of Venice "Ca' Foscari".
    14. Denis Tverskoi & Andrea Guido & Giulia Andrighetto & Angel Sánchez & Sergey Gavrilets, 2023. "Disentangling material, social, and cognitive determinants of human behavior and beliefs," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    15. 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.
    16. Mikhail Anufriev & Kirill Borissov & Mikhail Pakhnin, 2021. "Dissonance Minimization and Conversation in Social Networks," CESifo Working Paper Series 9433, CESifo.
    17. 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.
    18. Kara Layne Johnson & Jennifer L. Walsh & Yuri A. Amirkhanian & Nicole Bohme Carnegie, 2021. "Performance of a Genetic Algorithm for Estimating DeGroot Opinion Diffusion Model Parameters for Health Behavior Interventions," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    19. Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
    20. Olcina, Gonzalo & Panebianco, Fabrizio & Zenou, Yves, 2024. "Conformism, social pressure, and the dynamics of integration," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 279-304.
    21. 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.
    22. Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
    23. Michelle Gonz'alez Amador & Robin Cowan & Eleonora Nillesen, 2022. "Peer Networks and Malleability of Educational Aspirations," Papers 2209.08340, arXiv.org.
    24. Jeong, Daeyoung & Shin, Euncheol, 2024. "Optimal influence design in networks," Journal of Economic Theory, Elsevier, vol. 220(C).
    25. Alem, Yonas & Dugoua, Eugenie, 2021. "Learning from unincentivized and incentivized communication: A randomized controlled trial in India," Ruhr Economic Papers 895, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    26. Batista, Catia & Fafchamps, Marcel & Vicente, Pedro C., 2021. "Keep It Simple: A Field Experiment on Information Sharing among Strangers," IZA Discussion Papers 14780, Institute of Labor Economics (IZA).
    27. Wenhao Cheng, 2024. "Naïve learning as a coordination device in social networks," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 26(3), June.
    28. Boucher, Vincent & Dedewanou, F. Antoine & Dufays, Arnaud, 2022. "Peer-induced beliefs regarding college participation," Economics of Education Review, Elsevier, vol. 90(C).
    29. Hanna Freudenreich & Sindu W. Kebede, 2022. "Experience of shocks, household wealth and expectation formation: Evidence from smallholder farmers in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 756-774, September.
    30. Mikael Bask, 2024. "Skill, status and the Matthew effect: a theoretical framework," Journal of Computational Social Science, Springer, vol. 7(3), pages 2221-2253, December.
    31. Simone Alfarano & Albert Banal-Estañol & Eva Camacho & Giulia Iori & Burcu Kapar & Rohit Rahi, 2024. "Centralized vs decentralized markets: The role of connectivity," Economics Working Papers 1877, Department of Economics and Business, Universitat Pompeu Fabra.
    32. Dasaratha, Krishna & He, Kevin, 2021. "An experiment on network density and sequential learning," Games and Economic Behavior, Elsevier, vol. 128(C), pages 182-192.
    33. Sumin Kim & Kyu-Min Lee & Euncheol Shin, 2023. "Who are the key players? Listeners vs spreaders vs others," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-14, May.
    34. Raúl Duarte & Frederico Finan & Horacio Larreguy & Laura Schechter, 2024. "Brokering Votes with Information Spread Via Social Networks," CESifo Working Paper Series 11349, CESifo.
    35. Della Lena, Sebastiano, 2024. "The spread of misinformation in networks with individual and social learning," European Economic Review, Elsevier, vol. 168(C).
    36. Gallo, E. & Langtry, A., 2020. "Social Networks, Confirmation Bias and Shock Elections," Cambridge Working Papers in Economics 2099, Faculty of Economics, University of Cambridge.
    37. Melguizo Lopez, Isabel, 2017. "Homophily and the persistence of disagreement," MPRA Paper 77367, University Library of Munich, Germany.
    38. Marcel Fafchamps & Måns Söderbom & Monique van den Boogart, 2022. "Adoption with Social Learning and Network Externalities," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1259-1282, December.

More information

Research fields, statistics, top rankings, if available.

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 3 papers 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-CDM: Collective Decision-Making (1) 2015-08-30
  2. NEP-DGE: Dynamic General Equilibrium (1) 2019-10-07
  3. NEP-EXP: Experimental Economics (1) 2015-08-30
  4. NEP-GER: German Papers (1) 2015-08-30
  5. NEP-GTH: Game Theory (1) 2019-10-07
  6. NEP-MAC: Macroeconomics (1) 2018-04-16
  7. NEP-NET: Network Economics (1) 2015-08-30
  8. NEP-SOC: Social Norms and Social Capital (1) 2015-08-30

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