Publications
Detailed Information
Behavioral Aspects of Learning in Social Networks: An Experimental Study
Cited 0 time in
Web of Science
Cited 23 time in Scopus
- Authors
- Issue Date
- 2005-07
- Publisher
- JAI Press
- Citation
- Advances in Applied Microeconomics, Vol.13, pp.25-61
- Abstract
- Networks are natural tools for understanding social and economic phenomena. For example, all markets are characterized by agents connected by complex, multilateral information networks, and the network structure influences economic outcomes. In an earlier study, we undertook an experimental investigation of learning in various three-person networks, each of which gives rise to its own learning patterns. In the laboratory, learning in networks is challenging and the difficulty of solving the decision problem is sometimes massive even in the case of three persons. We found that the theory can account surprisingly well for the behavior observed in the laboratory. The aim of the present paper is to investigate important and interesting questions about individual and group behavior, including comparisons across networks and information treatments. We find that in order to explain subjects' behavior, it is necessary to take into account the details of the network architecture as well as the information structure. We also identify some "black spots" where the theory does least well in interpreting the data. © 2005 Elsevier Ltd. All rights reserved.
- ISSN
- 0278-0984
- Files in This Item:
- There are no files associated with this item.
- Appears in Collections:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.