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Herding with and without payoff externalities -- an internet experiment

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  • Drehmann, Mathias
  • Oechssler, Jorg
  • Roider, Andreas

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 experi- mentally 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 e¤ects (i.e., the influence of success models) in the context of herding.
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  • Drehmann, Mathias & Oechssler, Jorg & Roider, Andreas, 2007. "Herding with and without payoff externalities -- an internet experiment," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 391-415, April.
  • Handle: RePEc:eee:indorg:v:25:y:2007:i:2:p:391-415
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    Cited by:

    1. Jörg Oechssler & Andreas Roider & Patrick W. Schmitz, 2015. "Cooling Off in Negotiations: Does it Work?," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 171(4), pages 565-588, December.
    2. Cipriani, Marco & Guarino, Antonio, 2008. "Transaction costs and informational cascades in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 581-592, December.
    3. Oechssler, Jörg & Roider, Andreas & Schmitz, Patrick W., 2009. "Cognitive abilities and behavioral biases," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 147-152, October.
    4. Omar Al-Ubaydli & John A. List, 2016. "Field Experiments in Markets," NBER Working Papers 22113, National Bureau of Economic Research, Inc.
    5. Morone, Andrea & Ozdemir, Ozlem, 2012. "Black swan protection: an experimental investigation," MPRA Paper 38842, University Library of Munich, Germany.
    6. Fiedler, Marina & Haruvy, Ernan, 2009. "The lab versus the virtual lab and virtual field--An experimental investigation of trust games with communication," Journal of Economic Behavior & Organization, Elsevier, pages 716-724.
    7. Duersch, Peter & Oechssler, Jörg & Schipper, Burkhard C., 2009. "Incentives for subjects in internet experiments," Economics Letters, Elsevier, vol. 105(1), pages 120-122, October.
    8. 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.
    9. Christoph Brunner & Jacob K. Goeree, 2009. "Wise crowds or wise minorities?," IEW - Working Papers 439, Institute for Empirical Research in Economics - University of Zurich.
    10. Davis, Brent J., 2017. "An experiment on behavior in social learning games with collective preferences," Economics Letters, Elsevier, vol. 152(C), pages 93-95.
    11. Andreas Roider & Andrea Voskort, 2015. "Reputational Herding in Financial Markets: A Laboratory Experiment," CESifo Working Paper Series 5162, CESifo Group Munich.
    12. 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.
    13. 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.
    14. Fahr, René & Irlenbusch, Bernd, 2011. "Who follows the crowd—Groups or individuals?," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 200-209.

    More about this item

    JEL classification:

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

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