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...

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Bibliographic Details
Main Authors: Camerer, C.F (Author), Nave, G. (Author), Smith, A. (Author)
Format: Article
Language:English
Published: INFORMS Inst.for Operations Res.and the Management Sciences 2019
Subjects:
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