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Information Cascades and Social Learning / Sushil Bikhchandani, David Hirshleifer, Omer Tamuz, Ivo Welch.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Bikhchandani, Sushil.
Contributor:
National Bureau of Economic Research.
Hirshleifer, David.
Tamuz, Omer.
Welch, Ivo.
Series:
Working Paper Series (National Bureau of Economic Research) no. w28887.
NBER working paper series no. w28887
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2021.
Summary:
An information cascade is a situation in which an agent who observes others chooses the same action irrespective of the value of the agent's private information signal. Theoretical models have found that cascades result in poor information aggregation, inaccurate decisions, and fragility of mass behaviors. We review the theory of information cascades and social learning. Our goal is to describe in a relatively integrated and accessible way the more important themes, insights and applications of the literature as it has developed over the last thirty years. We also highlight open questions and promising directions for further theoretical and empirical exploration.
Notes:
Print version record
June 2021.

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