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Herding, Social Preferences and (Non-) Conformity


  • Luca Corazzini
  • Ben Greiner


We study the role of social preferences and conformity in explaining herding behavior in anonymous risky environments. In an experiment similar to information cascade settings, but with no private information, we find no evidence for conformity. On the contrary, we observe a significant amount of non-conforming behavior, which cannot be attributed to errors.

Suggested Citation

  • Luca Corazzini & Ben Greiner, 2005. "Herding, Social Preferences and (Non-) Conformity," Working Paper Series in Economics 21, University of Cologne, Department of Economics, revised 24 Jan 2007.
  • Handle: RePEc:kls:series:0021

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    References listed on IDEAS

    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. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, Oxford University Press, vol. 114(3), pages 817-868.
    3. 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.
    4. Jacob K. Goeree & Thomas R. Palfrey & Brian W. Rogers & Richard D. McKelvey, 2007. "Self-Correcting Information Cascades," Review of Economic Studies, Oxford University Press, vol. 74(3), pages 733-762.
    5. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, Oxford University Press, vol. 106(4), pages 1039-1061.
    6. 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.
    7. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 14-23.
    8. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    9. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    10. 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.
    11. Dorothea Kübler & Georg Weizsäcker, 2004. "Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory," Review of Economic Studies, Oxford University Press, vol. 71(2), pages 425-441.
    12. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    13. Welch, Ivo, 1992. " Sequential Sales, Learning, and Cascades," Journal of Finance, American Finance Association, vol. 47(2), pages 695-732, June.
    14. 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.
    15. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 797-817.
    16. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    17. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
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    Cited by:

    1. T. T. Chen & B. Zheng & Y. Li & X. F. Jiang, 2017. "New approaches in agent-based modeling of complex financial systems," Papers 1703.06840,
    2. Bernado Moreno & María del Pino Ramos-Sosa & Ismael Rodríguez-Lara, 2016. "Conformity, information and truthful voting," Working Papers 2016-01, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    3. Delfino, Alexia & Marengo, Luigi & Ploner, Matteo, 2016. "I did it your way. An experimental investigation of peer effects in investment choices," Journal of Economic Psychology, Elsevier, vol. 54(C), pages 113-123.
    4. 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.
    5. Egebark, Johan & Ekström, Mathias, 2011. "Like What You Like or Like What Others Like? Conformity and Peer Effects on Facebook," Working Paper Series 886, Research Institute of Industrial Economics.
    6. Trautmann, Stefan T. & Zeckhauser, Richard J., 2013. "Shunning uncertainty: The neglect of learning opportunities," Games and Economic Behavior, Elsevier, vol. 79(C), pages 44-55.
    7. Oz Shy, 2011. "A Short Survey of Network Economics," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 38(2), pages 119-149, March.

    More about this item


    herding; information cascades; conformity; non-conformity; laboratory experiments;

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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