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  An Experimental Study on the Effects of Communication, Credibility, and Clustering in Network Games

Charness, G., Feri, F., Meléndez-Jiménez, M. A., & Sutter, M. (2019). An Experimental Study on the Effects of Communication, Credibility, and Clustering in Network Games.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-9779-B Version Permalink: http://hdl.handle.net/21.11116/0000-0003-9978-A
Genre: Paper

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 Creators:
Charness, Gary, Author
Feri, Francesco, Author
Meléndez-Jiménez, Miguel A., Author
Sutter, Matthias1, Author              
Affiliations:
1Max Planck Institute for Research on Collective Goods, Max Planck Society, ou_2173688              

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Free keywords: Networks, Clustering, Communication, Credibility, Cheap talk, Experiment
 JEL: C71 - Cooperative Games
 JEL: C91 - Laboratory, Individual Behavior
 JEL: D03 - Behavioral Microeconomics: Underlying Principles
 JEL: D85 - Network Formation and Analysis: Theory
 Abstract: The effectiveness of social interaction depends strongly on an ability to coordinate actions efficiently. In large networks, such coordination may be very difficult to achieve and may depend on the communication technology and the network structure. We examine how pre-play communication and clustering within networks affect coordination in a challenging experimental game on eight-person networks. Free-form chat is enormously effective in achieving the non-equilibrium efficient outcome in our game, but restricted communication (where subjects can only indicate their intended action) is almost entirely ineffective. We can rationalize this result with a novel model about the credibility of cheap-talk messages. This credibility is much larger with free-form message communication than with restricted communication. We are the first to model this credibility and show, both theoretically and experimentally, an interaction effect of network structure and communication technologies. We also provide a model of message diffusion, which indeed predicts that diffusion will be more rapid without clustering and is consistent with our data.

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 Dates: 2019
 Publication Status: Published online
 Pages: -
 Publishing info: Bopnn : Max Planck Institute for Research on Collective Goods, Discussion Paper 2019/8
 Table of Contents: -
 Rev. Method: -
 Identifiers: Other: 2019/8
 Degree: -

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