Replication data for: Trading in Networks: A Normal Form Game Experiment
Principal Investigator(s): View help for Principal Investigator(s) Douglas M. Gale; Shachar Kariv
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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AEJMicro-20070025_Data | 10/12/2019 10:10:PM | ||
AEJMicro-20070025_Data_Read_Me.pdf | application/pdf | 9 KB | 10/12/2019 06:10:PM |
AEJMicro-20070025_Experimental_Program.zip | application/zip | 364.7 KB | 10/12/2019 06:10:PM |
LICENSE.txt | text/plain | 14.6 KB | 10/12/2019 06:10:PM |
Project Citation:
Gale, Douglas M., and Kariv, Shachar. Replication data for: Trading in Networks: A Normal Form Game Experiment. Nashville, TN: American Economic Association [publisher], 2009. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114316V1
Project Description
Summary:
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This paper reports an experimental study of trading networks.
Networks are incomplete in the sense that each trader can only
exchange assets with a limited number of other traders. The greater
the incompleteness of the network, the more intermediation is
required to transfer the assets between initial and final owners. The
uncertainty of trade in networks constitutes a potentially important
market friction. Nevertheless, we find the pricing behavior observed
in the laboratory converges to competitive equilibrium behavior in
a variety of treatments. However, the rate of convergence varies
depending on the network, pricing rule, and payoff function. (JEL
C91, C92, G10, G19)
Scope of Project
JEL Classification:
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C91 Design of Experiments: Laboratory, Individual
C92 Design of Experiments: Laboratory, Group Behavior
G10 General Financial Markets: General (includes Measurement and Data)
G19 General Financial Markets: Other
C91 Design of Experiments: Laboratory, Individual
C92 Design of Experiments: Laboratory, Group Behavior
G10 General Financial Markets: General (includes Measurement and Data)
G19 General Financial Markets: Other
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