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Herding driven by the desire to differ

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  • Sander Heinsalu

Abstract

Observational learning often involves congestion: an agent gets lower payoff from an action when more predecessors have taken that action. This preference to act differently from previous agents may paradoxically increase all but one agent's probability of matching the actions of the predecessors. The reason is that when previous agents conform to their predecessors despite the preference to differ, their actions become more informative. The desire to match predecessors' actions may reduce herding by a similar reasoning.

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  • Sander Heinsalu, 2019. "Herding driven by the desire to differ," Papers 1904.00454, arXiv.org.
  • Handle: RePEc:arx:papers:1904.00454
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    References listed on IDEAS

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    1. Callander, Steven & Hörner, Johannes, 2009. "The wisdom of the minority," Journal of Economic Theory, Elsevier, vol. 144(4), pages 1421-1439.2, July.
    2. 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.
    3. Steven Callander, 2007. "Bandwagons and Momentum in Sequential Voting," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 653-684.
    4. Eyster, Erik & Galeotti, Andrea & Kartik, Navin & Rabin, Matthew, 2014. "Congested observational learning," Games and Economic Behavior, Elsevier, vol. 87(C), pages 519-538.
    5. 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.
    6. 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.
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