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In Search of Stars: Network Formation among Heterogeneous Agents Author info | Abstract | Publisher info | Download info | Related research | Statistics Goeree,Jacob K.
Riedl,Arno
Ule,Aljaz (METEOR)
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This paper reports the results of a laboratory experiments on network formation among heterogeneous agents. The experimental design extends the basic Bala-Goyal (2000) model of network formation with decay and two-way flow of benefits by allowing for agents with lower linking costs or higher benefits to others. We consider treatments where agents’ types are common knowledge and treatments where agents’ types are private information. In all treatments, the (efficient) equilibrium network has a “star” structure. We find that with homogeneous agents, equilibrium predictions fail completely. In Contrast, with heterogeneous agents stars frequently occur, often with the high-value or low- cost agent in the center. Stars are not borne but rather develop: in treatments with a high-value agents, the network’s centrality, stability, and efficiency all increase over time. Our results suggest that agents’ heterogeneity is a major determinant for the predominance of star-like structures in real-life social networks.
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Paper provided by Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization in its series Research Memoranda with number
032.
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Date of creation: 2005Date of revision:
Handle: RePEc:dgr:umamet:2005032Contact details of provider: Web page: http://edocs.ub.unimaas.nl/
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Keywords: microeconomics ; Other versions of this item:
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John Duffy & Dean Corbae, 2006.
"Experiments with Network Formation ,"
Working Papers
292, University of Pittsburgh, Department of Economics, revised Aug 2007.
[Downloadable!]
Other versions:
Dean Corbae & John Duffy, 2003.
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Levine's Working Paper Archive
666156000000000319, David K. Levine.
[Downloadable!] Corbae, Dean & Duffy, John, 2008.
"Experiments with network formation ,"
Games and Economic Behavior ,
Elsevier, vol. 64(1), pages 81-120, September.
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Papers on Strategic Interaction
2005-38, Max Planck Institute of Economics, Strategic Interaction Group.
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