Dynamic unstructured bargaining with private information: Theory, experiment, and outcome prediction via machine learning
We study dynamic unstructured bargaining with deadlines and one-sided private information about the amount available to share (the "pie size"). Using mechanism design theory, we show that given the players' incentives, the equilibrium incidence of bargaining failures ("strikes&qu...
Main Authors: | Camerer, C.F (Author), Nave, G. (Author), Smith, A. (Author) |
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Format: | Article |
Language: | English |
Published: |
INFORMS Inst.for Operations Res.and the Management Sciences
2019
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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