Communication with multiple senders: An experiment
Emanuel Vespa, Alistair J. Wilson
Abstract
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Emanuel Vespa, Alistair J. Wilson
Abstract
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We implement multi-sender cheap talk in the laboratory. While full-information transmission is not theoretically feasible in the standard one-sender–one- dimension model, in this setting with more senders and dimensions, full revelation is generically a robust equilibrium outcome. Our experimental results indicate that fully revealing outcomes are selected in particular settings, but that partial-information transmission is the norm. We uncover a number of behavioral patterns: On the one hand, senders follow exaggeration strategies, qualitatively similar to those predicted by a special case for the fully revealing equilibrium. Receivers, on the other hand, follow differing heuristics depending on the senders' biases, which are not always sequentially rational. When full revelation is observed it can be explained as the intersection of the receiver heuristics with the equilibrium response.
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We implement multi-sender cheap talk in the laboratory. While full-information transmission is not theoretically feasible in the standard one-sender–one- dimension model, in this setting with more senders and dimensions, full revelation is generically a robust equilibrium outcome. Our experimental results indicate that fully revealing outcomes are selected in particular settings, but that partial-information transmission is the norm. We uncover a number of behavioral patterns: On the one hand, senders follow exaggeration strategies, qualitatively similar to those predicted by a special case for the fully revealing equilibrium. Receivers, on the other hand, follow differing heuristics depending on the senders' biases, which are not always sequentially rational. When full revelation is observed it can be explained as the intersection of the receiver heuristics with the equilibrium response.
Key concepts: Communication source, Heuristics, Exaggeration, Information transmission, Computer science, Dimension (graph theory), Mathematical economics, Mathematical optimization