David Hirshleifer
· Distinguished Professor EmeritusVerifiedUniversity of California, Irvine · Finance
Active 1983–2024
Research topics
- Computer Science
- Machine Learning
- Artificial Intelligence
- Psychology
- Data science
- Cognitive science
- Engineering
- Knowledge management
- Physics
- Social psychology
Selected publications
Information Cascades and Social Learning
2021 · 51 citations
- Computer Science
- Artificial Intelligence
- Computer Science
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.
Frequent coauthors
- 132 shared
Po‐Hsuan Hsu
National Tsing Hua University
- 126 shared
Dongmei Li
Mahasarakham University
- 120 shared
Siew Hong Teoh
Anderson University - South Carolina
- 59 shared
Ivo Welch
- 54 shared
Sushil Bikhchandani
- 52 shared
Avanidhar Subrahmanyam
- 52 shared
Kent Daniel
National Bureau of Economic Research
- 50 shared
Hiroaki Sakaguchi
University of Nottingham
Education
- 1985
PhD
University of Chicago
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