Does cascade behavior in information cascades reflect Bayesian updating? An experimental study
Updating behavior in cascade experiments is usually investigated on the basis of urn prediction. But urn predictions alone can only provide a very rough information on individual updating behavior. Therefore, we implement a BDM mechanism. Subjects have to submit maximum prices that they are willing to pay to participate in the prediction game. This enables us to study subjects' probabilty formation less crudely. The results show that in many situations herding occurs in accordance with the standard BHW model but cannot be explained neither by rational Bayesian updating nor by heuristics identi...ed in former cascade experiments.
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- Kraemer, Carlo & Noth, Markus & Weber, Martin, 2006.
"Information aggregation with costly information and random ordering: Experimental evidence,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 59(3), pages 423-432, March.
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- Kraemer, Carlo & Nöth, Markus & Weber, Martin, 2000. "Information Aggregation with Costly Information and Random Ordering: Experimental Evidence," Sonderforschungsbereich 504 Publications 00-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
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- Frédéric KOESSLER & Anthony ZIEGELMEYER, 2000. "Tie-breaking Rules and Informational Cascades: A Note," Working Papers of BETA 2000-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg. Full references (including those not matched with items on IDEAS)