IDEAS home Printed from https://ideas.repec.org/a/aea/aejmic/v8y2016i1p83-109.html
   My bibliography  Save this article

Social Learning with Costly Search

Author

Listed:
  • Manuel Mueller-Frank
  • Mallesh M. Pai

Abstract

We study a sequential social learning model where agents privately acquire information by costly search. Search costs of agents are private, and are independently and identically distributed. We show that asymptotic learning occurs if and only if search costs are not bounded away from zero. We explicitly characterize equilibria for the case of two actions, and show that the probability of late moving agents taking the suboptimal action vanishes at a linear rate. Social welfare converges to the social optimum as the discount rate converges to one if and only if search costs are not bounded away from zero. (JEL D81, D83)

Suggested Citation

  • 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.
  • Handle: RePEc:aea:aejmic:v:8:y:2016:i:1:p:83-109
    Note: DOI: 10.1257/mic.20130253
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/mic.20130253
    Download Restriction: no

    File URL: http://www.aeaweb.org/aej/mic/ds/0801/2013-0253_ds.zip
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    References listed on IDEAS

    as
    1. Hongbin Cai & Yuyu Chen & Hanming Fang, 2009. "Observational Learning: Evidence from a Randomized Natural Field Experiment," American Economic Review, American Economic Association, vol. 99(3), pages 864-882, June.
    2. Subir Bose & Gerhard Orosel & Marco Ottaviani & Lise Vesterlund, 2008. "Monopoly pricing in the binary herding model," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 37(2), pages 203-241, November.
    3. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    4. Eddie Dekel & Michele Piccione, 2000. "Sequential Voting Procedures in Symmetric Binary Elections," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 34-55, February.
    5. Subir Bose & Gerhard Orosel & Marco Ottaviani & Lise Vesterlund, 2006. "Dynamic monopoly pricing and herding," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 910-928, December.
    6. Subir Bose & Gerhard Orosel & Marco Ottaviani & Lise Vesterlund, 2006. "Dynamic monopoly pricing and herding," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 910-928, December.
    7. Doval, Laura, 2018. "Whether or not to open Pandora's box," Journal of Economic Theory, Elsevier, vol. 175(C), pages 127-158.
    8. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    9. S. Ali & Navin Kartik, 2012. "Herding with collective preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 51(3), pages 601-626, November.
    10. Catherine Tucker & Juanjuan Zhang, 2011. "How Does Popularity Information Affect Choices? A Field Experiment," Management Science, INFORMS, vol. 57(5), pages 828-842, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bobkova, Nina & Mass, Helene, 2022. "Two-dimensional information acquisition in social learning," Journal of Economic Theory, Elsevier, vol. 202(C).
    2. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    3. Harry Pei, 2020. "Reputation Building under Observational Learning," Papers 2006.08068, arXiv.org, revised Nov 2020.
    4. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2017_1716, CEMFI.
    5. Ali, S. Nageeb, 2018. "Herding with costly information," Journal of Economic Theory, Elsevier, vol. 175(C), pages 713-729.
    6. , & ,, 2015. "Information diffusion in networks through social learning," Theoretical Economics, Econometric Society, vol. 10(3), September.
    7. Carlo Reggiani & Alejandro Saporiti & Lois Simanjuntak, 2018. "Social Information and Consumer Heterogeneity," Economics Discussion Paper Series 1813, Economics, The University of Manchester.
    8. 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.
    9. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2018_1716, CEMFI.
    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. Saori CHIBA, 2018. "Hidden Profiles and Persuasion Cascades in Group Decision-Making," Discussion papers e-18-001, Graduate School of Economics , Kyoto University.
    12. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gagnon-Bartsch, Tristan & Rosato, Antonio, 2022. "Quality is in the eye of the beholder: taste projection in markets with observational learning," MPRA Paper 115426, University Library of Munich, Germany.
    2. Arieli, Itai & Koren, Moran & Smorodinsky, Rann, 2022. "The implications of pricing on social learning," Theoretical Economics, Econometric Society, vol. 17(4), November.
    3. Koren, Moran & Mueller-Frank, Manuel, 2022. "The welfare costs of informationally efficient prices," Games and Economic Behavior, Elsevier, vol. 131(C), pages 186-196.
    4. Bikhchandani, Sushil & Hirshleifer, David & Tamuz, Omer & Welch, Ivo, 2021. "Information Cascades and Social Learning," MPRA Paper 107927, University Library of Munich, Germany.
    5. Parakhonyak, Alexei & Vikander, Nick, 2023. "Information design through scarcity and social learning," Journal of Economic Theory, Elsevier, vol. 207(C).
    6. Philipp Kircher & Andrew Postlewaite, 2008. "Strategic Firms and Endogenous Consumer Emulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 621-661.
    7. Aoyagi, Masaki & Bhalla, Manaswini & Gunay, Hikmet, 2016. "Social learning and delay in a dynamic model of price competition," Journal of Economic Theory, Elsevier, vol. 165(C), pages 565-600.
    8. Eyster, Erik & Galeotti, Andrea & Kartik, Navin & Rabin, Matthew, 2014. "Congested observational learning," Games and Economic Behavior, Elsevier, vol. 87(C), pages 519-538.
    9. Masaki Aoyagi, 2010. "Optimal Sales Schemes against Interdependent Buyers," American Economic Journal: Microeconomics, American Economic Association, vol. 2(1), pages 150-182, February.
    10. repec:esx:essedp:706 is not listed on IDEAS
    11. Alexei Parakhonyak & Nick Vikander, 2019. "Optimal Sales Schemes for Network Goods," Management Science, INFORMS, vol. 65(2), pages 819-841, February.
    12. Liu, Ting & Schiraldi, Pasquale, 2007. "Social learning and monopolist's product launching strategy," LSE Research Online Documents on Economics 4921, London School of Economics and Political Science, LSE Library.
    13. Gill, David & Sgroi, Daniel, 2012. "The optimal choice of pre-launch reviewer," Journal of Economic Theory, Elsevier, vol. 147(3), pages 1247-1260.
    14. Ye Hu & Kitty Wang & Ming Chen & Sam Hui, 2021. "Herding Among Retail Shoppers: the Case of Television Shopping Network," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(1), pages 27-40, June.
    15. Ting Liu & Pasquale Schiraldi, 2012. "New product launch: herd seeking or herd preventing?," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 51(3), pages 627-648, November.
    16. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    17. Alexei Parakhonyak & Nick Vikander, 2016. "Inducing Herding with Capacity Constraints," Economics Series Working Papers 808, University of Oxford, Department of Economics.
    18. Kaiwei Zhang & Xi Weng & Xienan Cheng, 2022. "Optimal Pricing Schemes in the Presence of Social Learning and Costly Reporting," Papers 2211.07362, arXiv.org, revised Dec 2023.
    19. Subir Bose & Gerhard Orosel & Marco Ottaviani & Lise Vesterlund, 2008. "Monopoly pricing in the binary herding model," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 37(2), pages 203-241, November.
    20. Upender Subramanian & Ram C. Rao, 2016. "Leveraging Experienced Consumers to Attract New Consumers: An Equilibrium Analysis of Displaying Deal Sales by Daily Deal Websites," Management Science, INFORMS, vol. 62(12), pages 3555-3575, December.
    21. Weng, Xi, 2015. "Dynamic pricing in the presence of individual learning," Journal of Economic Theory, Elsevier, vol. 155(C), pages 262-299.

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aejmic:v:8:y:2016:i:1:p:83-109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.