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Herding With and Without Payoff Externalities - An Internet Experiment

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  • Drehmann, Mathias
  • Roider, Andreas
  • Oechssler, Joerg

Abstract

Most real world situations that are susceptible to herding are also characterized by direct payoff externalities. Yet, the bulk of the theoretical and experimental literature on herding has focused on pure informational externalities. In this paper we experimentally investigate the effects of several different forms of payoff externalities (e.g., network effects, first-mover advantage, etc.) in a standard information-based herding model. Our results are based on an internet experiment with more than 6000 subjects, including a subsample of 267 consultants from an international consulting firm. We also replicate and review earlier cascade experiments. Finally, we study reputation effects (i.e., the influence of success models) in the context of herding.

Suggested Citation

  • Drehmann, Mathias & Roider, Andreas & Oechssler, Joerg, 2005. "Herding With and Without Payoff Externalities - An Internet Experiment," CEPR Discussion Papers 5310, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:5310
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    1. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.
    2. Fudenberg, Drew & Levine, David, 1998. "Learning in games," European Economic Review, Elsevier, vol. 42(3-5), pages 631-639, May.
    3. Giancarlo Corsetti & Amil Dasgupta & Stephen Morris & Hyun Song Shin, 2004. "Does One Soros Make a Difference? A Theory of Currency Crises with Large and Small Traders," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(1), pages 87-113.
    4. Angela A. Hung & Charles R. Plott, 2001. "Information Cascades: Replication and an Extension to Majority Rule and Conformity-Rewarding Institutions," American Economic Review, American Economic Association, vol. 91(5), pages 1508-1520, December.
    5. Antoni Bosch-Domènech & José G. Montalvo & Rosemarie Nagel & Albert Satorra, 2002. "One, Two, (Three), Infinity, ...: Newspaper and Lab Beauty-Contest Experiments," American Economic Review, American Economic Association, vol. 92(5), pages 1687-1701, December.
    6. Timothy F Bresnahan, 2004. "Network Effects in the Microsoft Case," Levine's Working Paper Archive 228400000000000008, David K. Levine.
    7. Peter Bossaerts & Charles Plott, 2004. "Basic Principles of Asset Pricing Theory: Evidence from Large-Scale Experimental Financial Markets," Review of Finance, European Finance Association, vol. 8(2), pages 135-169.
    8. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
    9. Angela Hung & Jeff Dominitz, 2004. "Homogeneous Actions and Hetergeneous Beliefs: Experimental Evidence on the Formation of Information Cascades," Econometric Society 2004 North American Winter Meetings 64, Econometric Society.
    10. Anderhub, Vital & Muller, Rudolf & Schmidt, Carsten, 2001. "Design and evaluation of an economic experiment via the Internet," Journal of Economic Behavior & Organization, Elsevier, vol. 46(2), pages 227-247, October.
    11. Jacob K. Goeree & Thomas R. Palfrey & Brian W. Rogers & Richard D. McKelvey, 2007. "Self-Correcting Information Cascades," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 733-762.
    12. Werner Güth & Carsten Schmidt & Matthias Sutter, 2003. "Fairness in the Mail and Opportunism in the Internet: A Newspaper Experiment on Ultimatum Bargaining," German Economic Review, Verein für Socialpolitik, vol. 4(2), pages 243-265, May.
    13. repec:cdl:ucsbec:10-01 is not listed on IDEAS
    14. 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.
    15. Jay Pil Choi, 1997. "Herd Behavior, the 'Penguin Effect,' and the Suppression of Informational Diffusion: An Analysis of Informational Externalities and Payoff Interdependency," RAND Journal of Economics, The RAND Corporation, vol. 28(3), pages 407-425, Autumn.
    16. Jonathan E. Alevy & Michael S. Haigh & John List, 2006. "Information Cascades: Evidence from An Experiment with Financial Market Professionals," NBER Working Papers 12767, National Bureau of Economic Research, Inc.
    17. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    18. Frisell, Lars, 2003. "On the Interplay of Informational Spillovers and Payoff Externalities," RAND Journal of Economics, The RAND Corporation, vol. 34(3), pages 582-592, Autumn.
    19. Charness, Gary & Haruvy, Ernan & Sonsino, Doron, 2007. "Social distance and reciprocity: An Internet experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 63(1), pages 88-103, May.
    20. Guarino, Antonio & Huck, Steffen & Jeitschko, Thomas D., 2004. "Can fear cause economic collapse? Insights from an experimental study [Kann Angst zu einem Wirtschaftszusammenbruch führen? Erkenntnisse aus einer experimentellen Studie]," Discussion Papers, Research Unit: Market Processes and Governance SP II 2004-05, WZB Berlin Social Science Center.
    21. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    22. Shy,Oz, 2001. "The Economics of Network Industries," Cambridge Books, Cambridge University Press, number 9780521805001, September.
    23. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    24. Dorothea Kübler & Georg Weizsäcker, 2004. "Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(2), pages 425-441.
    25. Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-862, December.
    26. Welch, Ivo, 1992. "Sequential Sales, Learning, and Cascades," Journal of Finance, American Finance Association, vol. 47(2), pages 695-732, June.
    27. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, April.
    28. Anthony Ziegelmeyer & Frédéric Koessler & Juergen Bracht & Eyal Winter, 2010. "Fragility of information cascades: an experimental study using elicited beliefs," Experimental Economics, Springer;Economic Science Association, vol. 13(2), pages 121-145, June.
    29. VERGARI, Cecilia, 2004. "Herd behaviour, strategic complementarities and technology adoption," LIDAM Discussion Papers CORE 2004063, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    30. Curtis R. Taylor & Thomas D. Jeitschko, 2001. "Local Discouragement and Global Collapse: A Theory of Coordination Avalanches," American Economic Review, American Economic Association, vol. 91(1), pages 208-224, March.
    31. David Lucking-Reiley, 1999. "Using Field Experiments to Test Equivalence between Auction Formats: Magic on the Internet," American Economic Review, American Economic Association, vol. 89(5), pages 1063-1080, December.
    32. 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.
    33. Forsythe, Robert & Forrest Nelson & George R. Neumann & Jack Wright, 1992. "Anatomy of an Experimental Political Stock Market," American Economic Review, American Economic Association, vol. 82(5), pages 1142-1161, December.
    34. Lones Smith & Peter Sorensen, 2000. "Pathological Outcomes of Observational Learning," Econometrica, Econometric Society, vol. 68(2), pages 371-398, March.
    35. Dorothea Kübler & Georg Weizsäcker, 2005. "Are Longer Cascades More Stable?," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 330-339, 04/05.
    36. Huck, Steffen & Oechssler, Jorg, 2000. "Informational cascades in the laboratory: Do they occur for the right reasons?," Journal of Economic Psychology, Elsevier, vol. 21(6), pages 661-671, December.
    37. Müller, R.J., 2001. "Auctions : the big winner among trading mechanisms for the Internet economy," Research Memorandum 016, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    38. Church, Jeffrey & Gandal, Neil, 1992. "Network Effects, Software Provision, and Standardization," Journal of Industrial Economics, Wiley Blackwell, vol. 40(1), pages 85-103, March.
    39. Bogachan Celen & Shachar Kariv & Andrew Schotter, 2003. "The Advice Puzzle: An Experimental Study of Social Learning Where Words Speak Louder Than Actions," Levine's Bibliography 666156000000000184, UCLA Department of Economics.
    40. Chamley,Christophe P., 2004. "Rational Herds," Cambridge Books, Cambridge University Press, number 9780521530927, January.
    41. Anderson, Lisa R, 2001. "Payoff Effects in Information Cascade Experiments," Economic Inquiry, Western Economic Association International, vol. 39(4), pages 609-615, October.
    42. Celen, Bogachan & Kariv, Shachar, 2004. "Observational learning under imperfect information," Games and Economic Behavior, Elsevier, vol. 47(1), pages 72-86, April.
    43. Jonathan E. Alevy & Michael S. Haigh & John A. List, 2007. "Information Cascades: Evidence from a Field Experiment with Financial Market Professionals," Journal of Finance, American Finance Association, vol. 62(1), pages 151-180, February.
    44. Forsythe, Robert & Rietz, Thomas A. & Ross, Thomas W., 1999. "Wishes, expectations and actions: a survey on price formation in election stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 39(1), pages 83-110, May.
    45. Charness, Gary & haruvy, Ernan & Sonsino, Doron, 2001. "Social Distance and Reciprocity: The Internet vs. the Laboratory," University of California at Santa Barbara, Economics Working Paper Series qt46r1282v, Department of Economics, UC Santa Barbara.
    46. Gale, Douglas, 1996. "What have we learned from social learning?," European Economic Review, Elsevier, vol. 40(3-5), pages 617-628, April.
    47. Chamley,Christophe P., 2004. "Rational Herds," Cambridge Books, Cambridge University Press, number 9780521824019, January.
    48. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    49. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 1998. "Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 151-170, Summer.
    50. Amil Dasgupta, 2000. "Social Learning with Payoff Complementarities," Econometric Society World Congress 2000 Contributed Papers 0322, Econometric Society.
    51. Oberhammer, Clemens & Stiehler, Andreas, 2001. "Does cascade behavior in information cascades reflect Bayesian updating? An experimental study," SFB 373 Discussion Papers 2001,32, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    52. Ben Greiner & H.-Arno Jacobsen & Carsten Schmidt, 2002. "The Virtual Laboratory Infrstructure for Online Economic Experiments," Papers on Strategic Interaction 2002-35, Max Planck Institute of Economics, Strategic Interaction Group.
    53. Shavit, Tal & Sonsino, Doron & Benzion, Uri, 2001. "A comparative study of lotteries-evaluation in class and on the Web," Journal of Economic Psychology, Elsevier, vol. 22(4), pages 483-491, August.
    54. Clemens Oberhammer & Andreas Stiehler, "undated". "Does Cascade Behavior Reflect Bayesian Updating? –An Experimental Study--," Papers on Strategic Interaction 2003-01, Max Planck Institute of Economics, Strategic Interaction Group.
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    3. Duersch, Peter & Oechssler, Jörg & Schipper, Burkhard C., 2009. "Incentives for subjects in internet experiments," Economics Letters, Elsevier, vol. 105(1), pages 120-122, October.
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    5. Omar Al-Ubaydli & John A. List, 2016. "Field Experiments in Markets," NBER Working Papers 22113, National Bureau of Economic Research, Inc.
    6. Jacob K. Goeree & Leeat Yariv, 2015. "Conformity in the lab," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 15-28, July.
    7. Morone, Andrea & Ozdemir, Ozlem, 2012. "Black swan protection: an experimental investigation," MPRA Paper 38842, University Library of Munich, Germany.
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    9. Eyster, Erik & Galeotti, Andrea & Kartik, Navin & Rabin, Matthew, 2014. "Congested observational learning," Games and Economic Behavior, Elsevier, vol. 87(C), pages 519-538.
    10. Andreas Roider & Andrea Voskort, 2016. "Reputational Herding in Financial Markets: A Laboratory Experiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 17(3), pages 244-266, July.
    11. Paul J. Healy & John Conlon & Yeochang Yoon, 2016. "Information Cascades with Informative Ratings: An Experimental Test," Working Papers 16-05, Ohio State University, Department of Economics.
    12. Christoph Brunner & Jacob K. Goeree, 2009. "Wise crowds or wise minorities?," IEW - Working Papers 439, Institute for Empirical Research in Economics - University of Zurich.
    13. Ozge Dinc‐Cavlak & Ozlem Ozdemir, 2021. "Comparing the willingness to pay through three elicitation mechanisms: An experimental evidence for organic egg product," Agribusiness, John Wiley & Sons, Ltd., vol. 37(4), pages 782-803, October.
    14. Duersch, Peter & Oechssler, Jörg & Schipper, Burkhard C., 2009. "Incentives for subjects in internet experiments," Economics Letters, Elsevier, vol. 105(1), pages 120-122, October.
    15. Chmura, Thorsten & Le, Hang & Nguyen, Kim, 2022. "Herding with leading traders: Evidence from a laboratory social trading platform," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 93-106.
    16. Davis, Brent J., 2017. "An experiment on behavior in social learning games with collective preferences," Economics Letters, Elsevier, vol. 152(C), pages 93-95.
    17. Georg Weizsacker, 2010. "Do We Follow Others When We Should? A Simple Test of Rational Expectations," American Economic Review, American Economic Association, vol. 100(5), pages 2340-2360, December.
    18. Tomasz Kopczewski & Michał Krawczyk & Przemysław Kusztelak, 2013. "Enforced compatibility and control of switching costs in markets with network externalities: an experiment," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 35.
    19. Song, Yangbo & Zhang, Jiahua, 2020. "Social learning with coordination motives," Games and Economic Behavior, Elsevier, vol. 123(C), pages 81-100.
    20. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    21. Efraim Berkovich, 2011. "Search and herding effects in peer-to-peer lending: evidence from prosper.com," Annals of Finance, Springer, vol. 7(3), pages 389-405, August.
    22. Fahr, René & Irlenbusch, Bernd, 2011. "Who follows the crowd—Groups or individuals?," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 200-209.
    23. Irene Comeig & Ernesto Mesa-Vázquez & Pau Sendra-Pons & Amparo Urbano, 2020. "Rational Herding in Reward-Based Crowdfunding: An MTurk Experiment," Sustainability, MDPI, vol. 12(23), pages 1-21, November.

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    More about this item

    Keywords

    Information cascades; Herding; Network effects; Experiment; Internet;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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