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Distinguishing Informational Cascades from Herd Behavior in the Laboratory

Çelen, Boğaçhan, Kariv, Shachar·2004·American Economic Review

Abstract

This paper reports an experimental test of how individuals learn from the behavior of others. By using techniques only available in the laboratory, we elicit subjects' beliefs. This allows us to distinguish informational cascades from herd behavior. By adding a setup with continuous signal and discrete action, we enrich the ball-andurn observational learning experiments paradigm of Lisa R. Anderson and Charles Holt (1997). We attempt to understand subjects' behavior by estimating a model that allows for the possibility of errors in earlier decisions.

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Metadata

Authors
Çelen, B., & Kariv, S.
Venue
American Economic Review
Published
2004-05-01
Volume
94
Issue
3
Pages
484-498
ISSN
0002-8282 (ISSN-L)
OpenAlex
W2031798454
Cited by
367
References
0
FWCI
36.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Distinguishing Informational Cascades from Herd Behavior in the Laboratory. https://app.cochat.ai/papers/10.1257/0002828041464461
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Çelen, B., & Kariv, S. (2004). Distinguishing Informational Cascades from Herd Behavior in the Laboratory. American Economic Review. https://doi.org/10.1257/0002828041464461

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.