Dynamic Unstructured Bargaining with Private Information: Theory, Experiment, and Outcome Prediction via Machine Learning-Reference-Cited by-同舟云学术

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Dynamic Unstructured Bargaining with Private Information: Theory, Experiment, and Outcome Prediction via Machine Learning

Published:2019-04 Issue:4 Volume:65 Page:1867-1890
ISSN:0025-1909
Container-title:Management Science
language:en
Short-container-title:Management Science

Author:

Camerer Colin F.¹^ORCID,Nave Gideon²^ORCID,Smith Alec³^ORCID

Affiliation:

1. Humanities and Social Sciences and Computational and Neural Systems, California Institute of Technology, Pasadena, California 91125

2. Marketing Department, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104

3. Department of Economics, Virginia Tech, Blacksburg, Virginia 24061

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Reference121 articles.

1. Tandem anchoring: Informational and politeness effects of range offers in social exchange.

2. How sensitive are bargaining outcomes to changes in disagreement payoffs?

3. Social Image and the 50-50 Norm: A Theoretical and Experimental Analysis of Audience Effects

4. Mostly Harmless Econometrics

5. Efficient Sequential Bargaining

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