IDEAS home Printed from https://ideas.repec.org/p/vie/viennp/vie1502.html
   My bibliography  Save this paper

Consumer Search with Observational Learning

Author

Abstract

This paper studies observational learning in a consumer search environment. In our model, consumers observe the purchasing decision of a predecessor before deciding which firm to visit. We show that if consumers emulate their predecessor and initiate their search at the firm she purchased from, a social multiplier of demand induces a lower equilibrium price. Further, as the search cost increases, firms compete fiercely to attract consumers and prices converge to the marginal cost. We show that the result can be extended to any number of firms, and the effect of emulation on prices is stronger as the number of firms increases. We also show that, as consumers observe more previous purchasing decisions, the downward pressure on prices grows to the degree that the pure strategy equilibrium may cease to exist. We then provide a rationale for emulation by introducing positive correlation in preferences across consumers. This correlation gives rise to free-riding which deters search, and as a result puts further downward pressure on prices for high search cost.

Suggested Citation

  • Sandro Shelegia & Daniel Garcia, 2015. "Consumer Search with Observational Learning," Vienna Economics Papers vie1502, University of Vienna, Department of Economics.
  • Handle: RePEc:vie:viennp:vie1502
    as

    Download full text from publisher

    File URL: https://papersecon.univie.ac.at/RePEc/vie/viennp/vie1502.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chuhay, Roman, 2010. "Marketing via Friends: Strategic Diffusion of Information in Social Networks with Homophily," Sustainable Development Papers 96667, Fondazione Eni Enrico Mattei (FEEM).
    2. Kenneth Hendricks & Alan Sorensen & Thomas Wiseman, 2012. "Observational Learning and Demand for Search Goods," American Economic Journal: Microeconomics, American Economic Association, vol. 4(1), pages 1-31, February.
    3. 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.
    4. Mark Armstrong & John Vickers & Jidong Zhou, 2009. "Prominence and consumer search," RAND Journal of Economics, RAND Corporation, vol. 40(2), pages 209-233, June.
    5. Ramon Caminal & Xavier Vives, 1996. "Why Market Shares Matter: An Information-Based Theory," RAND Journal of Economics, The RAND Corporation, vol. 27(2), pages 221-239, Summer.
    6. Edward L. Glaeser & Bruce I. Sacerdote & Jose A. Scheinkman, 2003. "The Social Multiplier," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 345-353, 04/05.
    7. Becker, Gary S, 1991. "A Note on Restaurant Pricing and Other Examples of Social Influences on Price," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 1109-1116, October.
    8. Asher Wolinsky, 1986. "True Monopolistic Competition as a Result of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 493-511.
    9. Roman Chuhay, 2010. "Marketing via Friends: Strategic Diffusion of Information in Social Networks with Homophily," Working Papers 2010.118, Fondazione Eni Enrico Mattei.
    10. Kováč, Eugen & Schmidt, Robert C., 2014. "Market share dynamics in a duopoly model with word-of-mouth communication," Games and Economic Behavior, Elsevier, vol. 83(C), pages 178-206.
    11. 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.
    12. Marco A. Haan & José L. Moraga‐González, 2011. "Advertising for Attention in a Consumer Search Model," Economic Journal, Royal Economic Society, vol. 121(552), pages 552-579, May.
    13. Simon P. Anderson & Regis Renault, 1999. "Pricing, Product Diversity, and Search Costs: A Bertrand-Chamberlin-Diamond Model," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 719-735, Winter.
    14. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.
    15. Markus Mobius & Tanya Rosenblat, 2014. "Social Learning in Economics," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 827-847, August.
    16. 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.
    17. Arthur Campbell, 2013. "Word-of-Mouth Communication and Percolation in Social Networks," American Economic Review, American Economic Association, vol. 103(6), pages 2466-2498, October.
    18. Enrico Moretti, 2011. "Social Learning and Peer Effects in Consumption: Evidence from Movie Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 356-393.
    19. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    20. Maarten Janssen & Alexei Parakhonyak, 2014. "Consumer search markets with costly revisits," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 55(2), pages 481-514, February.
    21. Monzón, Ignacio & Rapp, Michael, 2014. "Observational learning with position uncertainty," Journal of Economic Theory, Elsevier, vol. 154(C), pages 375-402.
    22. Lones Smith & Peter Sorensen, 2000. "Pathological Outcomes of Observational Learning," Econometrica, Econometric Society, vol. 68(2), pages 371-398, March.
    23. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    24. 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.
    25. 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.
    26. Juanjuan Zhang, 2010. "The Sound of Silence: Observational Learning in the U.S. Kidney Market," Marketing Science, INFORMS, vol. 29(2), pages 315-335, 03-04.
    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. Mark Armstrong, 2017. "Ordered Consumer Search," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 989-1024.
    2. Martin Obradovits & Philipp Plaickner, 2023. "Price-Directed Search, Product Differentiation and Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 63(3), pages 317-348, November.
    3. Gamp, Tobias & Krähmer, Daniel, 2022. "Biased Beliefs in Search Markets," Rationality and Competition Discussion Paper Series 365, CRC TRR 190 Rationality and Competition.
    4. Marcel Preuss, 2023. "Search, learning, and tracking," RAND Journal of Economics, RAND Corporation, vol. 54(1), pages 54-82, March.
    5. Haan, Marco A. & Moraga-González, José L. & Petrikaitė, Vaiva, 2018. "A model of directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 223-255.
    6. T. Tony Ke & Song Lin, 2020. "Informational Complementarity," Management Science, INFORMS, vol. 66(8), pages 3699-3716, August.
    7. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2017_1716, CEMFI.
    8. Daniel Garcia, 2017. "Dynamic Pricing with Search Frictions," CESifo Working Paper Series 6765, CESifo.
    9. Ding, Yucheng & Zhang, Tianle, 2018. "Price-directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 106-135.
    10. Janssen, Maarten & Williams, Cole, 2021. "Influencing Search," CEPR Discussion Papers 15811, C.E.P.R. Discussion Papers.
    11. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2018_1716, CEMFI.
    12. Carlo Reggiani & Alejandro Saporiti & Lois Simanjuntak, 2018. "Social Information and Consumer Heterogeneity," Economics Discussion Paper Series 1813, Economics, The University of Manchester.
    13. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
    14. 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.
    15. Zachary Mahone & Filippo Rebessi, 2019. "Consumer Learning and Firm Dynamics," Department of Economics Working Papers 2019-08, McMaster University.
    16. Atabek Atayev & Maarten Janssen, 2021. "Information Acquisition and Diffusion in Markets," Papers 2109.15288, arXiv.org.
    17. Atayev, Atabek & Janssen, Maarten C. W., 2021. "Information acquisition and diffusion in markets," ZEW Discussion Papers 21-091, ZEW - Leibniz Centre for European Economic Research.
    18. Daniel Garcia, 2017. "Dynamic Pricing with Search Frictions," CESifo Working Paper Series 6765, CESifo.

    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. Daniel Garcia & Sandro Shelegia, 2018. "Consumer search with observational learning," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 224-253, March.
    2. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2018_1716, CEMFI.
    3. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2017_1716, CEMFI.
    4. Parakhonyak, Alexei & Vikander, Nick, 2023. "Information design through scarcity and social learning," Journal of Economic Theory, Elsevier, vol. 207(C).
    5. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
    6. 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.
    7. Fishman, Arthur & Lubensky, Dmitry, 2018. "Search prominence and return costs," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 136-161.
    8. Mark Armstrong, 2017. "Ordered Consumer Search," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 989-1024.
    9. Parakhonyak, Alexei & Titova, Maria, 2018. "Shopping malls, platforms and consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 183-213.
    10. Moraga-González, José L. & Sándor, Zsolt & Wildenbeest, Matthijs R., 2014. "Prices, Product Differentiation, And Heterogeneous Search Costs," IESE Research Papers D/1097, IESE Business School.
    11. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
    12. 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.
    13. Ding, Yucheng & Zhang, Tianle, 2018. "Price-directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 106-135.
    14. José L. Moraga-González & Vaiva Petrikaitė, 2013. "Search costs, demand-side economies, and the incentives to merge under Bertrand competition," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 391-424, September.
    15. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2012. "Understanding Peer Effects in Financial Decisions: Evidence from a Field Experiment," NBER Working Papers 18241, National Bureau of Economic Research, Inc.
    16. Liangfei Qiu & Zhan (Michael) Shi & Andrew B. Whinston, 2018. "Learning from Your Friends’ Check-Ins: An Empirical Study of Location-Based Social Networks," Information Systems Research, INFORMS, vol. 29(4), pages 1044-1061, December.
    17. 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.
    18. Martin Obradovits & Philipp Plaickner, 2023. "Price-Directed Search, Product Differentiation and Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 63(3), pages 317-348, November.
    19. Simon Board & Moritz Meyer‐ter‐Vehn, 2021. "Learning Dynamics in Social Networks," Econometrica, Econometric Society, vol. 89(6), pages 2601-2635, November.
    20. Petrikaitė, Vaiva, 2018. "A search model of costly product returns," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 236-251.

    More about this item

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

    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:vie:viennp:vie1502. 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: Paper Administrator (email available below). General contact details of provider: https://econ.univie.ac.at/ .

    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.